When Agent Ross is shot in the back during Klaue’s escape from the Busan field office, T’Challa stuffs a kimoyo bead into the wound to staunch the bleeding, but the wounds are still serious enough that the team must bring him back to Wakanda for healing. They float him to Shuri’s lab on a hover-stretcher.
The hover-stretcher gets locked into place inside a bay. The bay is a small room in the center of Shuri’s lab, open on two sides. The walls are covered in a gray pattern suggesting a honeycomb. A bas-relief volumetric projection displays some medical information about the patient like vital signs and a subtle fundus image of the optic nerve.
Shuri holds her hand flat and raises it above the patient’s chest. A volumetric display of 9 of his thoracic vertebrae rises up in response. One of the vertebrae is highlighted in a bright red. A section of the wall display displays the same information in 2D, cyan with orange highlights. That display section slides out from the wall to draw observer’s attentions. Hexagonal tiles flip behind the display for some reason, but produce no change in the display.
Shuri reaches her hands up to the volumetric vertebrae, pinches her forefingers and thumbs together, and pull them apart. In response, the space between the vertebrae expands, allowing her to see the top and bottom of the body of the vertebra.
She then turns to the wall display, and reading something there, tells the others that he’ll live. Her attention is pulled away with the arrival of Wakabe, bringing news of Killmonger. We do not see her initiate a treatment in the scene. We have to presume that she did it between cuts. (There would have to be a LOT of confidence in an AI’s ability to diagnose and determine treatment before they would let Griot do that without human input.)
We’ll look more closely at the hover-stretcher display in a moment, but for now let’s pause and talk about the displays and the interaction of this beat.
A lab is not a recovery room
This doesn’t feel like a smart environment to hold a patient. We can bypass a lot of the usual hospital concerns of sterilization (it’s a clean room) or readily-available equipment (since they are surrounded by programmable vibranium dust controlled by an AGI) or even risk of contamination (something something AI). I’m mostly thinking about the patient having an environment that promotes healing: Natural light, quiet or soothing music, plants, furnishing, and serene interiors. Having him there certainly means that Shuri’s team can keep an eye on him, and provide some noise that may act as a stimulus, but don’t they have actual hospital rooms in Wakanda?
Why does she need to lift it?
The VP starts in his chest, but why? If it had started out as a “translucent skin” illusion, like we saw in Lost in Space (1998, see below), then that might make sense. She would want to lift it to see it in isolation from the distracting details of the body. But it doesn’t start this way, it starts embedded within him?!
It’s a good idea to have a representation close to the referent, to make for easy comparison between them. But to start the VP within his opaque chest just doesn’t make sense.
This is probably the wrong gesture
In the gestural interfaces chapter of Make It So, I described a pidgin that has been emerging in sci-fi which consisted of 7 “words.” The last of these is “Pinch and Spread to Scale.” Now, there is nothing sacred about this gestural language, but it has echoes in the real world as well. For one example, Google’s VR painting app Tilt Brush uses “spread to scale.” So as an increasingly common norm, it should only be violated with good reason. In Black Panther, Shuri uses spread to mean “spread these out,” even though she starts the gesture near the center of the display and pulls out at a 45° angle. This speaks much more to scaling than to spreading. It’s a mismatch and I can’t see a good reason for it. Even if it’s “what works for her,” gestural idiolects hinder communities of practice, and so should be avoided.
Better would have been pinching on one end of the spine and hooking her other index finger to spread it apart without scaling. The pinch is quite literal for “hold” and the hook quite literal for “pull.” This would let scale be scale, and “hook-pull” to mean “spread components along an axis.”
If we were stuck with the footage of Shuri doing the scale gesture, then it would have made more sense to scale the display, and fade the white vertebrae away so she could focus on the enlarged, damaged one. She could then turn it with her hand to any arbitrary orientation to examine it.
An object highlight is insufficient
It’s quite helpful for an interface that can detect anomalies to help focus a user’s attention there. The red highlight for the damaged vertebrae certainly helps draw attention. Where’s the problem? Ah, yes. There’s the problem. But it’s more helpful for the healthcare worker to know the nature of the damage, what the diagnosis is, to monitor the performance of the related systems, and to know how the intervention is going. (I covered these in the medical interfaces chapter of Make It So, if you want to read more.) So yes, we can see which vertebra is damaged, but what is the nature of that damage? A slipped disc should look different than a bone spur, which should look different than one that’s been cracked or shattered from a bullet. The thing-red display helps for an instant read in the scene, but fails on close inspection and would be insufficient in the real world.
Put critical information near the user’s locus of attention
Why does Shuri have to turn and look at the wall display at all? Why not augment the volumetric projection with the data that she needs? You might worry that it could obscure the patient (and thereby hinder direct observations) but with an AGI running the show, it could easily position those elements to not occlude her view.
Note that Shuri is not the only person in the room interested in knowing the state of things, so a wall display isn’t bad, but it shouldn’t be the only augmentation.
Lastly, why does she need to tell the others that Ross will live? if there was signifcant risk of his death, there should be unavoidable environmental signals. Klaxons or medical alerts. So unless we are to believe T’Challa has never encountered a single medical emergency before (even in media), this is a strange thing for her to have to say. Of course we understand she’s really telling us in the audience that we don’t need to wonder about this plot development any more, but it would be better, diegetically, if she had confirmed the time-to-heal, like, “He should be fine in a few hours.”
Alternatively, it would be hilarious turnabout if the AI Griot had simply not been “trained” on data that included white people, and “could not see him,” which is why she had to manually manage the diagnosis and intervention, but that would have massive impact on the remote piloting and other scenes, so isn’t worth it. Probably.
Thoughts toward a redesign
So, all told, this interface and interaction could be much better fit-to-purpose. Clarify the gestural language. Lose the pointless flipping hexagons. Simplify the wall display for observers to show vitals, diagnosis and intervention, as well as progress toward the goal. Augment the physician’s projection with detailed, contextual data. And though I didn’t mention it above, of course the bone isn’t the only thing damaged, so show some of the other damaged tissues, and some flowing, glowing patterns to show where healing is being done along with a predicted time-to-completion.
Later, when Ross is fully healed and wakes up, we see a shot of of the med table from above. Lots of cyan and orange, and *typography shudder* stacked type. Orange outlines seem to indicate controls, tough they bear symbols rather than full labels, which we know is better for learnability and infrequent reuse. (Linguist nerds: Yes, Wakandan is alphabetic rather than logographic.)
These feel mostly like FUIgetry, with the exception of a subtle respiration monitor on Ross’ left. But it shows current state rather than tracked over time, so still isn’t as helpful as it could be.
Then when Ross lifts his head, the hexagons begin to flip over, disabling the display. What? Does this thing only work when the patient’s head is in the exact right space? What happens when they’re coughing, or convulsing? Wouldn’t a healthcare worker still be interested in the last-recorded state of things? This “instant-off” makes no sense. Better would have been just to let the displays fade to a gray to indicate that it is no longer live data, and to have delayed the fade until he’s actually sitting up.
All told, the Wakandan medical interfaces are the worst of the ones seen in the film. Lovely, and good for quick narrative hit, but bad models for real-world design, or even close inspection within the world of Wakanda.
MLK Day Matters
Each post in the Black Panther review is followed by actions that you can take to support black lives.
Today is Martin Luther King Day. Normally there would be huge gatherings and public speeches about his legacy and the current state of civil rights. But the pandemic is still raging, and with the Capitol in Washington, D.C. having seen just last week an armed insurrection by supporters of outgoing and pouty loser Donald Trump, (in case that WP article hasn’t been moved yet, here’s the post under its watered-down title) worries about additional racist terrorism and violence.
So today we celebrate virtually, by staying at home, re-experiening his speeches and letters, and listening to the words of black leaders and prominent thinkers all around us, reminding us of the arc of the moral universe, and all the work it takes to bend it toward justice.
With the Biden team taking the reins on Wednesday, and Kamala Harris as our first female Vice President of color, things are looking brighter than they have in 4 long, terrible years. But Trump would have gotten nowhere if there hadn’t been a voting block and party willing to indulge his racist fascism. There’s still much more to do to dismantle systemic racism in the country and around the world. Let’s read, reflect, and use whatever platforms and resources we are privileged to have, act.
So while the world is in the grip of the novel COVID-19 coronavirus pandemic, I’ve been thinking about those fictional user interfaces that appear in pandemic movies that project how quickly the infectious-agent-in-question will spread. The COVID-19 pandemic is a very serious situation. Most smart people are sheltering in place to prevent an overwhelmed health care system and finding themselves with some newly idle cycles (or if you’re a parent like me, a lot fewer idle cycles). Looking at this topic through the lens of sci-fi is not to minimize what’s happening around us as trivial, but to process the craziness of it all through this channel that I’ve got on hand. I did it for fascism, I’ll do it for this. Maybe this can inform some smart speculative design.
Caveat #1:As a public service I have included some information about COVID-19 in the body of the post with a link to sources. These are called out the way this paragraph is, with a SARS-CoV-2 illustration floated on the left. I have done as much due diligence as one blogger can do to not spread disinformation, but keep in mind that our understanding of this disease and the context are changing rapidly. By the time you read this, facts may have changed. Follow links to sources to get the latest information. Do not rely solely on this post as a source. If you are reading this from the relative comfort of the future after COVID-19, feel free to skip these.
And yes, this is less of my normal fare of sci-fi and more bio-fi, but it’s still clearly a fictional user interface, so between that and the world going pear-shaped, it fits well enough. I’ll get back to Blade Runner soon enough. I hope.
Giving credit where it’s due: All but one of the examples in this post were found via the TV tropes page for Spreading Disaster Map Graphic page, under live-action film examples. I’m sure I’ve missed some. If you know of others, please mention it in the comments.
Four that are extradiegetic and illustrative
This first set of pandemic maps are extradiegetic.
Vocabulary sidebar: I use that term a lot on this blog, but if you’re new here or new to literary criticism, it bears explanation. Diegesis is used to mean “the world of the story,” as the world in which the story takes place is often distinct from our own. We distinguish things as diegetic and extradiegetic to describe when they occur within the world of the story, or outside of it, respectively. My favorite example is when we see a character in a movie walking down a hallway looking for a killer, and we hear screechy violins that raise the tension. When we hear those violins, we don’t imagine that there is someone in the house who happens to be practicing their creepy violin. We understand that this is extradiegetic music, something put there to give us a clue about how the scene is meant to feel.
So, like those violins, these first examples aren’t something that someone in the story is looking at. (Claude Paré? Who the eff is—Johnson! Get engineering! Why are random names popping up over my pandemic map?) They’re something the film is doing for us in the audience.
There’s not much I feel the need to say about these kinds of maps, as they are a motion graphic and animation style. I note at least two use aposematic signals in their color palette and shapes, but that’s just because it helps reinforce for the audience that whatever is being shown here is a major threat to human life. But I have much more authoritative things to say about systems that are meant to be used.
Before we move on, here’s a bonus set of extradiegetic spreading-pathogen maps I saw while watching the Netflix docuseries Pandemic: How to Prevent an Outbreak, as background info for this post.
Five that are diegetic and informative
The five examples in this section are spread throughout the text for visual interest, but presented in chronological order. They are The Andromeda Strain (1977), Outbreak (1995), Evolution (2001), Contagion (2011), and World War Z (2013). I highly recommend Contagion for the acting, movie making, the modeling, and some of the facts it conveys. For instance, I think it’s the only film that discusses fomites. Everyone should know about fomites.
Since I raise their specter: As of publication of this post the CDC stated that fomites are not thought to be the main way the COVID-19 novel coronavirus spreads, but there are recent and conflicting studies. The scientific community is still trying to figure this out. The CDC says for certain it spreads primarily through sneezes, coughs, and being in close proximity to an infected person, whether or not they are showing symptoms.
Note that these five spreading pathogen examples are things that characters are seeing in the diegesis, that is, in the context of the story. These interfaces are meant to convey useful information to the characters as well as us in the audience.
Which is as damning a setup as I can imagine for this first example from The Andromeda Strain (1971). Because as much as I like this movie, WTF is this supposed to be? “601” is explained in the dialogue as the “overflow error” of this computer, but the pop-art seizure graphics? C’mon. There’s no way to apologize for this monstrosity.
I’m sorry that you’ll never get those 24 seconds back. But at least we can now move on to look at the others, which we can break down into the simple case of persuasion, and the more complex case of use.
The simple case
In the simplest case, these graphics are shown to persuade an authority to act. That’s what happening in this clip from Outbreak (1995).
But if the goal is to persuade one course of action over another, some comparison should be made between two options, like, say, what happens if action is taken sooner rather than later. While that is handled in the dialogue of many of these films—and it may be more effective for in-person persuasion—I can’t help but think it would be reinforcing to have it as part of the image itself. Yet none of our examples do this.
Compare the “flatten the curve” graphics that have been going around. They provide a visual comparison between two options and make it very plain which is the right one to pick. One that stays in the mind of the observer even after they see it. This is one I’ve synthesized and tweaked from other sources.
There is a diegetic possibility, i.e., that no one amidst the panic of the epidemic has the time to thoughtfully do more than spit out the data and handle the rest with conversation. But we shouldn’t leave it at that, because there’s not much for us to learn there.
More complex case
The harder problem is when these displays are for people who need to understand the nature of the threat and determine the best course of action, and now we need to talk about epidemiology.
Caveat #2:I am not an epidemiologist. They are all really occupied for the foreseeable future, so I’m not even going to reach out and bother one of them to ask their opinions on this post. Like I said before about COVID-19, I really hope you don’t come to sci-fi interfaces to become an expert in epidemiology. And, since I’m just Some Guy on the Internet Who Has Read Some Stuff on the Internet, you should take whatever you learn here with a grain of salt. If I get something wrong, please let me know. Here are my major sources:
Caveat #3: To discuss using technology in our species’ pursuit of an effective global immune system is to tread into some uncomfortable territory. Because of the way disease works, it is not enough to surveil the infected. We must always surveil the entire population, healthy or not, for signs of a pathogen outbreak, so responses can be as swift and certain as possible. We may need to surveil certain at-risk or risk-taking populations quite closely, as potential superspreaders. Otherwise we risk getting…well…*gestures vaguely at the USA*. I am pro-privacy, so know that when I speak about health surveillance in this post, I presume that we are simultaneously trying to protect as much “other” privacy as we can, maybe by tracking less-abusable, less-personally identifiable signals. I don’t pretend this is a trivial task, and I suspect the problem is more wicked than merely difficult to execute. But health surveillance must happen, and for this reason I will speak of it as a good thing in this context.
Caveats complete? We’ll see.
Epidemiology is a large field of study, so for purposes of this post, we’re talking about someone who studies disease at the level of the population, rather than individual cases. Fictional epidemiologists appear when there is an epidemic or pandemic in the plot, and so are concerned with two questions: What are we dealing with? and What do we need to do?
Part 1: What are we dealing with?
Our response should change for different types of threat. So it’s important for an epidemiologist to understand the nature of a pathogen. There are a few scenes in Contagion where we see scientists studying a screen with gene sequences and a protein-folding diagram, and this touches on understanding the nature of the virus. But this is a virologists view, and doesn’t touch on most of what an epidemiologist is ultimately hoping to build first, and that’s a case definition. It is unlikely to appear in a spreading pathogen map, but it should inform one. So even if your pathogen is fictional, you ought to understand what one is.
A case definition is the standard shared definition of what a pathogen is; how a real, live human case is classified as belonging to an epidemic or not. Some case definitions are built for non-emergency cases, like for influenza. The flu is practically a companion to humanity, i.e., with us all the time, and mutates, so its base definition for health surveillance can be a little vague. But for the epidemics and pandemics that are in sci-fi, they are building a case definitionfor outbreak investigations. These are for a pathogen in a particular time and place, and act as a standard for determining whether or not a given person is counted as a case for the purposes of studying the event.
Case definition for outbreak investigations
The CDC lists the following as the components of a case definition.
Confirmatory laboratory tests
These can be pages long, with descriptions of recommended specimen collections, transportation protocols, and reporting details.
Combinations of symptoms (subjective complaints)
Signs (objective physical findings)
(Sometimes) Specifics of time and place.
There are sometimes different case definitions based on the combination of factors. COVID-19 case definitions with the World Health Organization, for instance, are broken down between suspect, probable, and confirmed. A person showing all the symptoms and who has been in an area where an infected person was would be suspect. A person whose laboratory results confirmed the presence of SARS-CoV-2 is confirmed. Notably for a map, these three levels might warrant three levels of color.
As an example, here is the CDC case definition for ebola, as of 09 JUL 2019.
n.b. Case definitions are unlikely to work on screen
Though the case definition is critical to epidemiology, and may help the designer create the spreading pathogen map (see the note about three levels of color, above), but the thing itself is too text-heavy to be of much use for a sci-fi interface, which rely much more on visuals. Better might be the name or an identifying UUID to the definition. WHO case references look like this: WHO/COVID-19/laboratory/2020.5 I do not believe the CDC has any kind of UUID for its case definitions.
While case definitions don’t work on screen, counts and rates do. See below under Surveil Public Health for more on counts and rates.
Infectious disease follows a fairly standard order of events, depicted in the graphic below. Understanding this typical timeline of events helps you understand four key metrics for a given pathogen: chains of transmission, R0, SI, and CFR.
For each of the key metrics, I’ll list ranges and variabilities where appropriate. These are observed attributes in the real world, but an author creating a fictional pathogen, or a sci-fi interfaces maker needing to illustrate them, may need to know what those numbers look like and how they tend to behave over time so they can craft these attributes.
Chains of Transmission
What connects the individual cases in an epidemic are the methods of transmission. The CDC lists the following as the basics of transmission.
Reservoir: where the pathogen is collected. This could be the human body, or a colony of infected mynocks, a zombie, or a moldy Ameglian Major flank steak forgotten in a fridge. Or your lungs.
Portal of exit, or how the pathogen leaves the reservoir. Say, the open wound of a zombie, or an innocent recommendation, or an uncovered cough.
Mode of transmission tells how the pathogen gets from the portal of exit to the portal of entry. Real-world examples include mosquitos, fomites (you remember fomites from the beginning of this post, don’t you?), sex, or respiratory particles.
Portal of entry, how the pathogen infects a new host. Did you inhale that invisible cough droplet? Did you touch that light saber and then touch your gills? Now it’s in you like midichlorians.
Susceptible host is someone more likely than not to get the disease.
A map of this chain of transmission would be a fine secondary-screen to a spreading pathogen map, illustrating how the pathogen is transmitted. After all, this will inform the containment strategies.
Variability: Once the chain of transmission is known, it would only change if the pathogen mutated.
Basic Rate of Reproduction = How contagious it is
A famous number that’s associated with contagiousness is the basic reproduction rate. If you saw Contagion you’ll recall this is written as R0, and pronounced “R-naught.” It describes, on average, how many people an infected person will infect before they stop being infectious.
If R0 is below 1, an infected person is unlikely to infect another person, and the pathogen will quickly die out.
If R0 is 1, an infected person is likely to infect one other, and the disease will continue through a population at a steady rate without intervention.
If R0 is higher than 1, a pathogen stands to explode through a population.
The CDC book tells me that R0 describes how the pathogen would reproduce through the population with no intervention, but other sources talk of lowering the R0 so I’m not certain if those other sources are using it less formally, or if my understanding is wrong. For now I’ll go with the CDC, and talk about R0 as a thing that is fixed.
It, too, is not an easy thing to calculate. It can depend on the duration of contagiousness after a person becomes infected, or the likelihood of infection for each contact between a susceptible person and an infectious person or vector, and the contact rate.
Variability: It can change over time. When a novel pathogen first emerges, the data is too sparse and epidemiologists are scrambling to do the field work to confirm cases. As more data comes in and numbers get larger, the number will converge toward what will be its final number.
It can also differ based on geography, culture, geopolitical boundaries, and the season, but the literature (such as I’ve read) refers to R0 as a single number.
Range: The range of R0 >1 can be as high as 12–18, but measles morbillivirus is an infectious outlier. Average range of R0, not including measles, of this sample is 2.5–5.2. MEV-1 from Contagion has a major dramatic moment when it mutates and its predicted R0 becomes 4, making it roughly as contagious as the now-eradicated killer smallpox.
Serial Interval = How fast it spreads
Serial interval is the average time between successive cases in a chain of transmission. This tells the epidemiologist how fast a pathogen stands to spread through a population.
Variability: Like the other numbers, SI is calculated and updated with new cases while an epidemic is underway, but tend to converge toward a number. SI for some respiratory diseases is charted below. Influenza A moves very fast. Pertussis is much slower.
Range: As you can see in the chart, SI can be as fast as 2.2 days, or as slow as 22.8 days. The median in this set is 14 days and the average is 12.8. SARS-CoV-2 is currently estimated to be about 4 days, which is very fast.
CFR = How deadly it is
The case fatality rate is a percentage that any given case will prove fatal. It is very often shortened to CFR. This is not always easy to calculate.
Variability: Early in a pandemic it might be quite low because hospital treatment is still available. Later in a pandemic, as hospital and emergency rooms are packed full, the CFR might raise quite high. Until a pathogen is eradicated, the precise CFR is changing with each new case. Updates can occur daily, or in real time with reports. In a sci-fi world, it could update real time directly from ubiquitous sensors, and perhaps predicted by a specialty A.I. or precognitive character.
Range: Case fatality rates range from the incurable, like kuru, at 100%. to 0.001% for chickenpox affecting unvaccinated children. The CFR changes greatly at the start of a pandemic and slowly converges towards its final number.
So, if the spreading pathogen map is meant to convey to an epidemiologist the nature of the pathogen, it should display these four factors:
Mode of Transmission: How it spreads
R0: How contagious it is
SI: How fast it spreads
CFR: How deadly it is
Part 2: What do we do?
An epidemiologist during an outbreak has a number of important responsibilities beyond understanding the nature of the pathogen. I’ve taken a crack at listing those below. Note: this list is my interpretation of the CDC materials, rather than their list. As always, offer corrections in comments.
Surveil the current state of things
Prevent further infections
Epidemiology has other non-outbreak functions, but those routine, non-emergency responsibilities rarely make it to cinema. And since “communicate recommendations” is pretty covered under “The Simple Case,” above, the rest of this post will be dedicated to health surveillance and prevention tools.
Surveil the current state of things
In movies the current state of things is often communicated via the spreading pathogen map in some command and control center. The key information on these maps are counts and rates.
Counts and Rates
The case definition (above) helps field epidemiologists know which cases to consider in the data set for a given outbreak. They routinely submit reports of their cases to central authorities like the CDC or WHO, who aggregate them into counts, which are tallies of known cases. (And though official sources in the real world are rightly cautious to do it, sci-fi could also include an additional layer of suspected or projected cases.) Counts, especially over time, are important for tracking the spread of a virus. Most movie goers have basic numeracy, so red number going up = bad is an easy read for an audience.
Counts can be broken down into many variables. Geopolitical regions make sense as governmental policies and cultural beliefs can make meaningful distinctions in how a pathogen spreads. In sci-fi a speculative pathogen might warrant different breakdowns, like frequency of teleportation, or time spent in FTL warp fields, or genetic distance from the all-mother.
In the screen cap of the John Hopkins COVID-19 tracker, you can see counts high in the visual hierarchy for total confirmed (in red), total deaths (in white), and total recovered (in green). The map plots current status of the counts.
Rates is another number that epidemiologists are interested in, to help normalize the spread of a pathogen for different group sizes. (Colloquially, rate often implies change over time, but in the field of epidemiology, it is a static per capita measurement of a point in time.) For example, 100 cases is around a 0.00001% rate in China, with its population of 1.386 billion, but it would be a full 10% rate of Vatican City, so count can be a poor comparison to understand how much of a given population is affected. By representing the rates alongside the counts you can detect if it’s affecting a subgroup of the global population more or less than others of its kind, which may warrant investigation into causes, or provide a grim lesson to those who take the threat lightly.
Counts and rates over time
The trend line in the bottom right of the Johns Hopkins dashboard helps understand how the counts of cases are going over time, and might be quite useful for helping telegraph the state of the pandemic to an audience, though having it tucked in a corner and in orange may not draw attention as it needs to for instant-understanding.
These two displays show different data, and one is more cinegenic than the other. Confirmed cases, on the left, is a total, and at best will only ever level off. If you know what you’re looking at, you know that older cases represented by the graph are…uh…resolved (i.e. recovery, disability, or death) and that a level-off is the thing we want to see there. But the chart on the right plots the daily increase, and will look something like a bell curve when the pandemic comes to an end. That is a more immediate read (bad thing was increasing, bad thing peaked, bad thing is on the decline) and so I think is better for cinema.
In the totals, sparklines would additionally help a viewer know whether things are getting better or getting worse in the individual geos, and would help sell the data via small multiples on a close-up.
Plotting cases on maps
Counts and rates are mostly tables of numbers with a few visualizations. The most cinegenic thing you can show are cases on geopolitical maps. All of the examples, except the trainwreck that is The Andromedia Strain pathogen map, show this, even the extradiegetic ones. Real-world pathogens mostly spread through physical means, so physical counts of areas help you understand where the confirmed cases are.
But as we all remember from that one West Wing scene, projections have consequences. When wondering where in the world do we send much-needed resources, Mercator will lie to you, exaggerating land at the poles at the expense of equatorial regions. I am a longtime advocate for alternate projections, such as—from the West Wing scene—the Gall-Peters. I am an even bigger big fan of Dymaxion and Watterman projections. I think they look quite sci-fi because they are familiar-but-unfamiliar, and they have some advantages for showing things like abstract routes across the globe.
If any supergenre is here to help model the way things ought to be, it’s sci-fi. If you only have a second or less of time to show the map, then you may be locked to Mercator for its instant-recognizability, but if the camera lingers, or you have dialogue to address the unfamiliarity, or if the art direction is looking for uncanny-ness, I’d try for one of the others.
What is represented?
Of course you’re going to want to represent the cases on the map. That’s the core of it. And it may be enough if the simple takeaway is thing bad getting worse. But if the purpose of the map is to answer the question “what do we do,” the cases may not be enough. Recall that another primary goal of epidemiologists is to prevent further infections. And the map can help indicate this and inform strategy.
Take for instance, 06 APR 2020 of the COVID-19 epidemic in the United States. If you had just looked at a static map of cases, blue states had higher counts than red states. But blue states had been much more aggressive in adopting “flattening the curve” tactics, while red states had been listening to Trump and right wing media that had downplayed the risk for many weeks in many ways. (Read the Nate Silver post for more on this.) If you were an epidemiologist, seeing just the cases on that date might have led you to want to focus social persuasion resources on blue states. But those states have taken the science to heart. Red states on the other hand, needed a heavy blitz of media to convince them that it was necessary to adopt social distancing and shelter-in-place directives. With a map showing both cases andsocial acceptance of the pandemic, it might have helped an epidemiologist make the right resource allocation decision quickly.
Another example is travel routes. International travel played a huge role in spreading COVID-19, and visualizations of transportation routes can prove more informative in understanding its spread than geographic maps. Below is a screenshot of the New York Times’ beautiful COVID-19 MAR 2020 visualization How the Virus Got Out, which illustrates this point.
Other things that might be visualized depend, again, on the chain of transmission.
Is the pathogen airborne? Then you might need to show upcoming wind and weather forecasts.
Is the reservoir mosquitoes? Then you might want to show distance to bodies of still water.
Is the pathogen spread through the mycelial network? Then you might need to show an overlay of the cosmic mushroom threads.
Whatever your pathogen, use the map to show the epidemiologist ways to think about its future spread, and decide what to do. Give access to multiple views if needed.
How do you represent it?
When showing intensity-by-area, there are lots of ways you could show it. All of them have trade offs. The Johns-Hopkins dashboard uses a Proportional Symbol map, with a red dot, centered on the country or state, the radius of which is larger for more confirmed cases. I don’t like this for pandemics, mostly because the red dots begin to overlap and make it difficult to any detail without interacting with the map to get a better focus. It does make for an immediate read. In this 23 MAR 2020 screen cap, it’s pretty obvious that the US, Europe, and China are current hotspots, but to get more detail you have to zoom in, and the audience, if not the characters, don’t have that option. I suppose it also provides a tone-painting sense of unease when the symbols become larger than the area they are meant to represent. It looks and feels like the area is overwhelmed with the pathogen, which is an appropriate, if emotional and uninformative, read.
Most of the sci-fi maps we see are a variety of Chorochromatic map, where color is applied to the discrete thing where it appears on the map. (This is as opposed to a Cloropleth map, where color fills in existing geopolitical regions.) The chorochromatic option is nice for sci-fi because the color makes a shape—a thing—that does not know of or respect geopolitical boundaries. See the example from Evolution below.
It can be hard to know (or pointlessly-detailed) to show exactly where a given thing is on a map, like, say, where infected people literally are. To overcome this you could use a dot-distribution map, as in the Outbreak example (repeated below so you don’t have to scroll that far back up).
Like many such maps, the dot-distribution becomes solid red to emphasize passing over some magnitude threshold. For my money, the dots are a little deceptive, as if each dot represented a person rather than part of a pattern than indicates magnitude, but a glance at the whole map gives the right impression.
For a real world example of dot-distribution for COVID-19, see this example posted to reddit.com by user Edward-EFHIII.
Often times dot-distribution is reserved for low magnitudes, and once infections are over a threshold, become cloropleth maps. See this example from the world of gaming.
Here you can see that India and Australia have dots, while China, Kyrgyzstan, Tajikistan, Turkmenistan, and Afghanistan (I think) are “solid” red.
The other representation that might make sense is a cartogram, in which predefined areas (like country or state boundaries) are scaled to show the magnitude of a variable. Continuous-area cartograms can look hallucinogenic, and would need some explanation by dialogue, but can overcome the inherent bias that size = importance. It might be a nice secondary screen alongside a more traditional one.
Another gorgeous projection dispenses with the geographic layout. Dirk Brockman, professor at the Institute for Theoretical Biology, Humboldt University, Berlin, developed a visualization that places the epicenter of a disease at the center of a node graph, and plots every city around it based on how many airport flights it takes to get there. Plotting proportional symbols to this graph makes the spread of the disease radiate in mostly- predictable waves. Pause the animation below and look at the red circles. You can easily predict where the next ones will likely be. That’s an incredibly useful display for the epidemiologist. And as a bonus, it’s gorgeous and a bit mysterious, so would make a fine addition in a sci-fi display to a more traditional map. Read more about this innovative display on the CityLab blog. (And thanks, Mark Coleran, for the pointer.)
How does it move?
First I should say I don’t know that it needs to move. We have information graphics that display predicted change-over-area without motion: Hurricane forecast maps. These describe a thing’s location in time, and simultaneously, the places it is likely to be in the next few days.
If you are showing a chorochromatic map, then you can use “contour lines” or color regions to demonstrate the future predictions.
Another possibility is small multiples, where the data is spread out over space instead of time. This makes it harder to compare stages, but doesn’t have the user searching for the view they want. You can mitigate this with small lines on each view representing the boundaries of other stages.
The side views could also represent scenarios. Instead of +1, +2, etc., the side views could show the modeled results for different choices. Perhaps those scenario side views and their projected counts could be animated.
To sing the praises of the static map: Such a view, updated as data comes in, means a user does not have to wait for the right frame to pop up, or interact with a control to get the right piece of information, or miss some detail when they just happened to have the display paused on the wrong frame of an animation.
But, I realize that static maps are not as cinegenic as a moving map. Movement is critical to cinema, so a static map, updating only occasionally as new data comes in, could look pretty lifeless. Animation gives the audience more to feel as some red shape slowly spreads to encompass the whole world. So, sure. I think there are better things to animate than the primary map, but doing so puts us back into questions of style rather than usability, so I’ll leave off that chain of thought and instead show you the fourth example in this section, Contagion.
Prevent further transmissions: Containment strategies
The main tactic for epidemiological intervention is to deny pathogens the opportunity to jump to new hosts. The top-down way to do this is to persuade community leaders to issue broad instructions, like the ones around the world that have us keeping our distance from strangers, wearing masks and gloves, and sheltering-in-place. The bottom-up tactic is to identify those who have been infected or put at risk for contracting a pathogen from an infected person. This is done with contact tracing.
Contain Known Cases
When susceptible hosts simply do not know whether or not they are infected, some people will take their lack of symptoms to mean they are not infectious and do risky things. If these people are infectious but not yet showing symptoms, they spread the disease. For this reason, it’s critical to do contact tracing of known cases to inform and encourage people to get tested and adopt containment behaviors.
There are lots of scenes in pathogen movies where scientists stand around whiteboards with hastily-written diagrams of who-came-into-contact-with-whom, as they hope to find and isolate cases, or to find “patient 0,” or to identify super-spreaders and isolate them.
These scenes seem ripe for improvement by technology and AI. There are opt-in self-reporting systems, like those that were used to contain COVID-19 in South Korea, or the proposed NextTrace system in the West. In sci-fi, this can go further.
Scenario: Imagine an epidemiologist talking to the WHO AI and asking it to review public footage, social media platforms, and cell phone records to identify all the people that a given case has been in contact with. It could even reach out and do field work, calling humans (think Google Duplex) who might be able to fill in its information gaps. Field epidemiologists are focused on situations when the suspected cases don’t have phones or computers.
Or, for that matter, we should ask why the machine should wait to be asked. It should be set up as an agent, reviewing these data feeds continually, and reaching out in real time to manage an outbreak.
SCENE: Karen is walking down the sidewalk when her phone rings.
Good afternoon, Karen. This is Florence, the AI working on behalf of the World Health Organization.
Oh no. Am I sick?
Public records indicate you were on a bus near a person who was just confirmed to be infected. Your phone tells me your heart rate has been elevated today. Can you hold the phone up to your face so I can check for a fever?
Karen does. As the phone does its scan, people on the sidewalk behind her can be seen to read texts on their phone and move to the other side of the street. Karen sees that Florence is done, and puts the phone back to her ear.
It looks as if you do have a fever. You should begin social distancing immediately, and improvise a mask. But we still need a formal test to be sure. Can you make it to the testing center on your own, or may I summon an ambulance? It is a ten minute walk away.
I think I can make it, but I’ll need directions.
Of course. I have also contacted your employer and spun up an AI which will be at work in your stead while you self-isolate. Thank you for taking care of yourself, Karen. We can beat this together.
Design challenge: In the case of an agentive contact tracer, the display would be a social graph displayed over time, showing confirmed cases as they connect to suspected cases (using evidence-of-proximity or evidence-of-transmission) as well as the ongoing agent’s work in contacting them and arranging testing. It would show isolation monitoring and predicted risks to break isolation. It would prioritize cases that are greatest risk for spreading the pathogen, and reach out for human intervention when its contact attempts failed or met resistance. It could be simultaneously tracing contacts “forward” to minimize new infections and tracing contacts backward to find a pathogen’s origins.
Another consideration for such a display is extension beyond the human network. Most pathogens mutate and much more freely in livestock and wild animal populations, making their way into humans occasionally. it happened this way for SARS (bats → civets → people), MERS (bats → camels → people), and COVID-19 (bats → pangolin → people). (Read more about bats as a reservoir.) It’s not always bats, by the way, livestock are also notorious breeding grounds for novel pathogens. Remember Bird flu? Swine flu? This “zoonotic network” should be a part of any pathogen forensic or surveillance interface.
Design idea: Even the notion of what it means to do contact tracing can be rethought in sci-fi. Have you seen the Mythbusters episode “Contamination”? In it Adam Savage has a tube latexed to his face, right near his nose that drips a florescent dye at the same rate a person’s runny nose might drip. Then he attends a staged dinner party where, despite keeping a napkin on hand to dab at the fluid, the dye gets everywhere except the one germophobe. It brilliantly illustrates the notion of fomites and how quickly an individual can spread a pathogen socially.
Now imagine this same sort of tracing, but instead of dye, it is done with computation. A camera watches, say, grocery shelves, and notes who touched what where and records the digital “touch,” or touchprint, along with an ID for the individual and the area of contact. This touchprint could be exposed directly with augmented reality, appearing much like the dye under black light. The digital touch mark would only be removed from the digital record of the object if it is disinfected, or after the standard duration of surface stability expires. (Surface stability is how long a pathogen remains a threat on a given surface). The computer could further watch the object for who touches it next, and build an extended graph of the potential contact-through-fomites.
You could show the AR touchprint to the individual doing the touching, this would help remind them to wear protective gloves if the science calls for it, or to ask them to disinfect the object themselves. A digital touchprint could also be used for workers tasked with disinfecting the surfaces, or by disinfecting drones. Lastly, if an individual is confirmed to have the pathogen, the touchprint graph could immediately identify those who had touched an object at the same spot as the infected person. The system could provide field epidemiologists with an instant list of people to contact (and things to clean), or, if the Florence AI described above was active, the system could reach out to individuals directly. The amount of data in such a system would be massive, and the aforementioned privacy issues would be similarly massive, but in sci-fi you can bypass the technical constraints, and the privacy issues might just be a part of the diegesis.
In case you’re wondering how long that touch mark would last for SARS-CoV-2 (the virus that causes COVID-19), this study from the New England Journal of Medicine says it’s 4 hours for copper, 24 hours for paper and cardboard, and 72 hours on plastic and steel.
Anyway, all of this is to say that the ongoing efforts by the agent to do the easy contact tracing would be an excellent, complicated, cinegenic side-display to a spreading pathogen map.
Destroying non-human reservoirs
Another way to reduce the risk of infection is to seal or destroy reservoirs. Communities encourage residents to search their properties and remove any standing water to remove the breeding grounds for mosquitos, for example. There is the dark possibility that a pathogen is so lethal that a government might want to “nuke it from orbit” and kill even human reservoirs. Outbreak features an extended scene where soldiers seek to secure a neighborhood known to be infected with the fictional Motoba virus, and soldiers threaten to murder a man trying to escape with his family. For this dark reason, in addition to distance-from-reservoir, the location of actual reservoirs may be important to your spreading pathogen map. Maybe also counts of the Hail Mary tools that are available, their readiness, effects, etc.
To close out the topic of What Do We Do? Let me now point you to the excellent and widely-citied Medium article by Tomas Peuyo, “Act Today or People Will Die,” for thoughts on that real-world question.
At the time of publication, this is the longest post I’ve written on this blog. Partly that’s because I wanted to post it as a single thing, but also because it’s a deep subject that’s very important to the world, and there are lots and lots of variables to consider when designing one.
Which makes it not surprising that most of the examples in this mini survey are kind of weak, with only one true standout. That standout is the World War Z spreading disaster map, shown below.
It goes by pretty quickly, but you can see more features discussed above in this clip than any of the other exmaples.
It doesn’t have that critical layer of forecasting data, but it got so much more right than its peers, I’m still happy to have it. Thanks to Mark Coleran for pointing me to it.
Let’s not forget that we are talking about fiction, and few people in the audience will be epidemiologists, standing up in the middle of the cinema (remember when we could go to cinemas?) to shout, “What’s with this R0 of 0.5? What is this, the LaCroix of viruses?” But c’mon, surely we can make something other than Andromeda Strain’s Pathogen Kaleidoscope, or Contagion’s Powerpoint wipe. Modern sci-fi interfaces are about spectacle, about overwhelming the users with information they can’t possibly process, and which they feel certain our heroes can—but they can still be grounded in reality.
Lastly, while I’ve enjoyed the escapism of talking about pandemics in fiction, COVID-19 is very much with us and very much a threat. Please take it seriously and adopt every containment behavior you can. Thank you for taking care of yourself. We can beat this together.
Another incidental interface is the pregnancy test that Joe finds in the garbage. We don’t see how the test is taken, which would be critical when considering its design. But we do see the results display in the orange light of Joe and Beth’s kitchen. It’s a cartoon baby with a rattle, swaying back and forth.
Sure it’s cute, but let’s note that the news of a pregnancy is not always good news. If the pregnancy is not welcome, the “Lucky you!” graphic is just going to rip her heart out. Much better is an unambiguous but neutral signal.
That said, Black Mirror is all about ripping our hearts out, so the cuteness of this interface is quite fitting to the world in which this appears. Narratively, it’s instantly recognizable as a pregnancy test, even to audience members who are unfamiliar with such products. It also sets up the following scene where Joe is super happy for the news, but Beth is upset that he’s seen it. So, while it’s awful for the real world; for the show, this is perfect.
We’re actually done with all of the artifacts from Doctor Strange. But there’s one last kind-of interface that’s worth talking about, and that’s when Strange assists with surgery on his own body.
After being shot with a soul-arrow by the zealot, Strange is in bad shape. He needs medical attention. He recovers his sling ring and creates a portal to the emergency room where he once worked. Stumbling with the pain, he manages to find Dr. Palmer and tell her he has a cardiac tamponade. They head to the operating theater and get Strange on the table.
When Strange passes out, his “spirit” is ejected from his body as an astral projection. Once he realizes what’s happened, he gathers his wits and turns to observe the procedure.
When Dr. Palmer approaches his body with a pericardiocentesis needle, Strange manifests so she can sense him and recommends that she aim “just a little higher.” At first she is understandably scared, but once he explains what’s happening, she gets back to business, and he acts as a virtual coach.
The doctor’s office is a stark, concrete room with a single desk framed under large windows and a tall vaulted ceiling. Two chairs sit on a carpet in front of the desk for patients. A couple pieces of art and personal photos line the room, but they are overwhelmed by the industrial-ness of the rest of the space.
When the doctor enters, he carries a large folder with the patient’s health information and background on paper. He then talks with the patient directly, without help from notes or his patient’s folder.
There is no visible computer in the room.
While not a traditional interface, this office is interesting because it lacks any traditional interactive features of a futuristic doctor’s office; things like holograms, giant computer screen walls, and robots are completely absent. Continue reading →
Hover technology is a thing in 2015(1985) and it appears many places.
When Marty has troubles with Griff Tannan he borrows a young girl’s hover scooter and breaks off its handlebar. Hes able to put his skateboarding skills to use on the resulting hover board.
Griff and his gang chases Marty on their own hover boards. Griffs has a top of the line hover board labeled a Pit Bull. Though Marty clearly has to manually supply forward momentum to his, Griffs has miniature swivel-mount jet engines that (seem to) respond to the way he shifts his weight on the board.
George requires traction for a back problem, but this doesn’t ground him. A hover device clamps his ankles in place and responds to foot motions to move him around.
Hover tech is ideal for leaning control, like what controls a Segway. That’s just what seems to be working in the hoverboard and hovertraction devices. Lean in the direction you wish to travel, just like walking. No modality, just new skills to learn.
The other major benefit to the users of the chair (besides the ease of travel and lifestyle) is the total integration of the occupant’s virtual social life, personal life, fashion (or lack-thereof), and basic needs in one device. Passengers are seen talking with friends remotely, not-so-remotely, playing games, getting updated on news, and receiving basic status updates. The device also serves as a source of advertising (try blue! it’s the new red!).
A slight digression: What are the ads there for? Considering that the Axiom appears to be an all-inclusive permanent resort model, the ads could be an attempt to steer passengers to using resources that the ship knows it has a lot of. This would allow a reprieve for heavily used activities/supplies to be replenished for the next wave of guests, instead of an upsell maneuver to draw more money from them. We see no evidence of exchange of money or other economic activity while on-board the Axiom…
OK, back to the social network.
It isn’t obvious what the form of authentication is for the chairs. We know that the chairs have information about who the passenger prefers to talk to, what they like to eat, where they like to be aboard the ship, and what their hobbies are. With that much information, if there was no constant authentication, an unscrupulous passenger could easily hop in another person’s chair, “impersonate” them on their social network, and play havoc with their network. That’s not right.
It’s possible that the chair only works for the person using it, or only accesses the current passenger’s information from a central computer in the Axiom, but it’s never shown. What we do know is that the chair activates when a person is sitting on it and paying attention to the display, and that it deactivates as soon as that display is cut or the passenger leaves the chair.
We aren’t shown what happens when the passenger’s attention is drawn away from the screen, since they are constantly focused on it while the chair is functioning properly.
If it doesn’t already exist, the hologram should have an easy to push button or gesture that can dismiss the picture. This would allow the passenger to quickly interact with the environment when needed, then switch back to the social network afterwards.
And, for added security in case it doesn’t already exist, biometrics would be easy for the Axiom. Tracking the chair user’s voice, near-field chip, fingerprint on the control arm, or retina scan would provide strong security for what is a very personal activity and device. This system should also have strong protection on the back end to prevent personal information from getting out through the Axiom itself.
Social networks hold a lot of very personal information, and the network should have protections against the wrong person manipulating that data. Strong authentication can prevent both identity theft and social humiliation.
Taking the occupant’s complete attention
While the total immersion of social network and advertising seems dystopian to us (and that’s without mentioning the creepy way the chair removes a passenger’s need for most physical activity), the chair looks genuinely pleasing to its users.
They enjoy it.
But like a drug, their enjoyment comes at the detriment of almost everything else in their lives. There seem to be plenty of outlets on the ship for active people to participate in their favorite activities: Tennis courts, golf tees, pools, and large expanses for running or biking are available but unused by the passengers of the Axiom.
Work with the human need
In an ideal world a citizen is happy, has a mixture of leisure activities, and produces something of benefit to the civilization. In the case of this social network, the design has ignored every aspect of a person’s life except moment-to-moment happiness.
This has parallels in goal driven design, where distinct goals (BNL wants to keep people occupied on the ship, keep them focused on the network, and collect as much information as possible about what everyone is doing) direct the design of an interface. When goal-driven means data driven, then the data being collected instantly becomes the determining factor of whether a design will succeed or fail. The right data goals means the right design. Wrong data goals mean the wrong design.
Instead of just occupying a person’s attention, this interface could have instead been used to draw people out and introduce them to new activities at intervals driven by user testing and data. The Axiom has the information and power, perhaps even the responsibility, to direct people to activities that they might find interesting. Even though the person wouldn’t be looking at the screen constantly, it would still be a continuous element of their day. The social network could have been their assistant instead of their jailer.
One of the characters even exclaims that she “didn’t even know they had a pool!”. Indicating that she would have loved to try it, but the closed nature of the chair’s social network kept her from learning about it and enjoying it. By directing people to ‘test’ new experiences aboard the Axiom and releasing them from its grip occasionally, the social network could have acted as an assistant instead of an attention sink.
Moment-to-moment happiness might have declined, but overall happiness would have gone way up.
The best way for designers to affect the outcome of these situations is to help shape the business goals and metrics of a project. In a situation like this, after the project had launched a designer could step in and point out those moments were a passenger was pleasantly surprised, or clearly in need of something to do, and help build a business case around serving those needs.
The obvious moments of happiness (that this system solves for so well) could then be augmented by serendipitous moments of pleasure and reward-driven workouts.
We must build products for more than just fleeting pleasure
As soon as the Axiom lands back on Earth, the entire passenger complement leaves the ship (and the social network) behind.
It was such a superficial pleasure that people abandoned it without hesitation when they realized that there was something more rewarding to do. That’s a parallel that we can draw to many current products. The product can keep attention for now, but something better will come along and then their users will abandon them.
A company can produce a product or piece of software that fills a quick need and initially looks successful. But, that success falls apart as soon as people realize that they have larger and tougher problems that need solving.
Ideally, a team of designers at BNL would have watched after the initial launch and continued improving the social network. By helping people continue to grow and learn new skills, the social network could have kept the people aboard the Axiom it top condition both mentally and physically. By the time Wall-E came around, and life finally began to return to Earth, the passengers would have been ready to return and rebuild civilization on their own.
To the designers of a real Axiom Social Network: You have the chance to build a tool that can save the world.
The Hover Chair is a ubiquitous, utilitarian, all-purpose assisting device. Each passenger aboard the Axiom has one. It is a mix of a beach-side deck chair, fashion accessory, and central connective device for the passenger’s social life. It hovers about knee height above the deck, providing a low surface to climb into, and a stable platform for travel, which the chair does a lot of.
A Universal Wheelchair
We see that these chairs are used by everyone by the time that Wall-E arrives on the Axiom. From BNL’s advertising though, this does not appear to be the original. One of the billboards on Earth advertising the Axiom-class ships shows an elderly family member using the chair, allowing them to interact with the rest of the family on the ship without issue. In other scenes, the chairs are used by a small number of people relaxing around other more active passengers.
At some point between the initial advertising campaign and the current day, use went from the elderly and physically challenged, to a device used 24/7 by all humans on-board the Axiom. This extends all the way down to the youngest children seen in the nursery, though they are given modified versions to more suited to their age and disposition. BNL shows here that their technology is excellent at providing comfort as an easy choice, but that it is extremely difficult to undo that choice and regain personal control.
The device with which the cosmetic surgery is conducted is delightfully called the Aesculaptor Mark III. Doc brags that it is “the latest. It’s completely self-contained.”
In it, the patient lies flat in a recess on a rounded table, the tilt and orientation of which is computer controlled. Above the table is a metallic sphere with six spidery articulated arms. Some of these house laser scalpels and some of these house healing sprays. The whole mechanism is contained in a cylinder of glass.
To control the system, Doc has a panel made up of unlabeled buttons and dials, a single blue monitor, and another panel displaying a random five-digit number and two levers. One is labeled “ANODYNE” and the other is labeled “KINESIS.”
When Doc receives a mysterious call (on what may be the earliest wireless telephone in mainstream science fiction,) he receives instructions to murder Logan. To do so he turns off the healing by moving the ANODYNE lever into the lower position.
So. Yeah. Also just terrible. I mean there’s the plot question. I ordinarily don’t drop into questions of plot, but come on. If Doc wanted to eliminate Logan, wouldn’t he increase the anodyne, so Logan wouldn’t know he was being killed until it was too late? If you wanted to torture him, wouldn’t you put him under a paralytic first, and only then turn off the anodyne? Turning on the KINESIS (moving lasers?) and turning off the anodyne just seem counter to his actual goals. Unless you want to fantheory this so that Doc’s instruction was “make him escape.”
But yes, back to the interface. There’s almost nowhere to start. Undifferentiated controls? Unlabeled controls? No visual hierarchy? Only the device itself and an oscilloscope to monitor the system and the patient’s trending state? Un-safeguarded knife switches for the primary controls? And note that the fail state is in the direction of gravity. If that knife switch gets loose, oops, you’re screwed.
Logan’s Run took place long before the lessons of the Therac-25, with its tragic interface and programming problems that resulted in the deaths of several cancer patients, but even audiences in 1976 would not believe that any medical device would have such an easy means of disabling the only aspect of it that keeps it from becoming an abattoir.
When Gort brings Klaatu’s body back to the ship for revival, he saunters ominously past the terrified Helen and lays the body on a table. He lowers the lights gesturally, and then flips a switch on the wall to the right of the chamber. As a result, the surface of the table illuminates beneath Klaatu, a buzz begins and increases in volume and insistency, and a light illuminates in a tube near Klaatu’s head. Some unknown time later, Klaatu wakes up, brought back to life with time enough to deliver a terrible warning to the people of Earth.
As an interface, it seems as simple as it gets, but it could be done better. Attach some sensors to detect weight load on the table, and some biometric sensors to detect if the body is dead or alive. If the body is dead and sits in the right position, start the revival procedure. This automatic procedure would be useful for Klaatu if he was dying and Gort was not around. He could just climb on to the table and the moment he passed, systems would kick into gear that would revive him.
Remember, Klaatunians, even when you think you’ve finished your designs, pause and think, “This is awesome, yet, how could I improve it even more?”