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Augmented reality demo featured in M. W. Krueger’s book ‘Artificial Reality II,’ 1991.
Augmented reality demo featured in M. W. Krueger’s book ‘Artificial Reality II,’ 1991.

What you’re looking at above is the state of augmented reality nearly two decades ago. It’s also a clue as to why, today, Magic Leap is reportedly looking for more venture funding after having already raised more than $2.6 billion from Google and other Silicon Valley giants but has little to show for it beyond an expensive AR headset that’s rumored to have unimpressive sales. It’s also a cautionary case study for Apple, which is reportedly planning a launch of its own AR headset line in 2022.

This ’90s demo has a strikingly similar interaction model to Magic Leap’s user interface. But while visually compelling, this approach to interaction will always suffer from the problems associated with ambiguous input from hand gestures. It’s a key challenge that’s continually held AR back as a technology.



The author presenting at Innovem Fest 19 in Spain.
The author presenting at Innovem Fest 19 in Spain.

The unacknowledged complexity of gesture control


AR advocates often assume gesture control will be the next iteration in user interfaces since it seems so intuitive and natural to human expression. (And as discussed in my last Modus essay, it has the seeming inevitability of sci-fi.) But hand-gesture models and libraries are not uniform. The ambiguous input produced by humans forces the computer to process far more information than a controller with comparatively limited function, like a touchscreen. This makes the interaction prone to a wide range of errors. The user’s background could be too dark, they could be wearing gloves, or they could have hands smaller than those that the device was tested with. This interaction model also likely requires having to train someone to use gestures they’re not yet familiar with, and not everyone will make the gestures in the same way.


By contrast, physical buttons are incredibly practical. A computer can always interpret the push of a button as a one-to-one interaction. Button-based interfaces are usually colorful and in the right places for your hands. You can quickly pick up the muscle memory to use them regularly. With a button, it doesn’t matter if you’re wearing gloves or if your hands are a certain color or if you’re an adult or a child.

The promise of gesture control technology is that it will significantly improve over time, but in practice, its perceived accuracy basically remains the same. Like Zeno’s paradox of motion, the more our computing power and motion-sensor efficacy improves, the more our expectations for precise gesture recognition also grows. But existing computers can never have an understanding of the full spectrum of edge cases they might encounter in the real world. Even if they could, gesture recognition is cognitively expensive for machines and mostly unnecessary when a simple button would suffice.


HoloLens photo courtesy of Microsoft
HoloLens photo courtesy of Microsoft

Microsoft’s augmented reality HoloLens interface was released in 2016 to great anticipation, but users and developers quickly realized how difficult it was to actually interact with objects using hand gestures. The specified gesture for interacting with the augmented reality displayed by the headset was a clicking motion with their hands in front of them. But these gestures were not always recognized the first time by the headset due to visual noise such as light or the irregularity inherent in a specific gesture being performed by different people. Frequent HoloLens users even coined the term “smashing butterflies” to describe the act of performing the input multiple times in order to get the computer to understand it.


This problem is not unlike how home automation systems like Alexa often have trouble understanding commands the first time, especially with speakers with accents, mumbling, or background noise thrown into the mix. AR devices like Magic Leap and HoloLens struggle with detecting the intersection between hand movements and objects. Awash in the effluvia of reality, the headset cannot always discern that the user is, say, trying to pick up a block, and it forces them to grab it multiple times. (Perhaps as a response to this frustration, Magic Leap belatedly added physical controllersto its product roadmap and made them part of its Creator Edition.)

Most augmented reality headsets were launched to early adopter enthusiasts and content creators, but even these users quickly found using these devices on a daily basis to be difficult. They’re often heavy and hot, and they obscure your vision. And in the end, there are only so many butterflies that even the most passionate of us can smash.



The videogame-like Vive control for VR
The videogame-like Vive control for VR

This is one core reason why VR has been a relative success compared with AR: Most virtual reality headsets have a one-to-one, button-based user interface in the form of hand controllers. There is no real world to overlay information onto, and physics engines from videogames can be smoothly ported into the world of VR. This shouldn’t be a surprise: VR enables a one-to-one interaction with the virtual world, and we’ve had 30 years of video game development to perfect this interaction.


Here are some other hidden assumptions that hold augmented reality headsets back:


People assume all new tech will replace everything that came before it, but it rarely does


Some Apple executives reportedly think the company’s AR products will eventually supplant the iPhone. But this isn’t usually how technology adoption works. Just because you have the latest choice doesn’t mean it’s the best option for everything. Cash isn’t obsolete simply because credit cards exist. And real reality won’t be taken over entirely by virtual reality. We replace old models of the same fundamental technology with upgraded versions, but when it comes to devices that are categorically different, they become just another option alongside our existing devices and are only adopted if they greatly enhance our existing tech and lifestyle habits. For most of us, an augmented reality headset will be another thing to take care of, fight with, upgrade, and forget to charge.


Which takes me to a related point:


Any product, no matter how compelling, has to be evaluated in the full context that prior technology has already created


VR/AR enthusiasts will point out that smartphones have small displays and limited interaction options and are unable to offer anything like the data immersion of head-mounted displays (HMDs). While this is true, it assumes that this in itself makes HMDs superior to smartphones. What’s missing from that evaluation is not just the incredible convenience of smartphones, which can be used in just about any context, but their social nature. We enjoy our phones with each other, passing them back and forth to share funny videos and other interesting content. An HMD experience threatens to deprive a user of both convenience and that impromptu social interaction.


Social media platforms are already augmented reality


As I noted, the vision for augmented reality has remained more or less unchanged since the 1990s. Since then, the growth of smartphones and social media have unintentionally created an entirely different vision of AR, one where live photos and videos are shared across our networks through the device in our hands and then discussed in the posts’ comment threads — virtual chat rooms sitting on top of our experience of reality.


Facebook might provide merely a two-dimensional interface, but it is our imagination that adds in additional dimensions. For fully immersive interfaces, we must remember that a little technology goes a long way, and our brains can fill in the rest. Simply put: We already have quite a lot of augmented reality in our lives, just not the kind that was originally conceived.


In fact, successful augmented reality interfaces (broadly speaking) have been around for years. They’re democratic, affordable to use, and can provide higher-resolution interaction. And best of all, you don’t need to pay thousands of dollars for them, recharge them, or wear them on your head. They’re simple projected interfaces, and while they’re less sexy than headsets, they are already used in airports, shopping malls, and museums. They can be calibrated to show media content, art, or directions, and they can be used by anyone.


Consider all this in relationship to Apple’s much-rumored move toward launching an AR headset line in 2022. If the company asked my advice, I’d recommend they forbid any further internal discussion about AR replacing their beloved iPhone. If they’re smart, Apple will instead learn from past AR mistakes and start with a minimal device that has a very narrow but powerful set of features. Much the way the simple iPod preceded the iPhone, Apple should start small, very slowly getting people to adopt a whole new way of life. And keep it tightly integrated with the iPhone.


We need to remember that technology is cyclical. We see the same solutions proposed again and again, often with the same results. Instead, if we work within the limitations of technology we’ve already embraced, we have a much better chance of doing things well.



 


I’m thrilled to announce I’ve joined the governance board of Superset, a new DAO with a challenging but important mission:

To give people more control and better benefits from their own user data.

We all know the problem. When we sign up for an online service, we quickly click Agree on the Terms of Service window without really knowing what that entails. We do know how often companies abuse our data, feeding it into algorithms that exploit our emotions and invade our privacy, while also commercializing it to make billions of dollars.

And because all of the major services seem problematic, we feel as if we have no choice but cave in, giving them unrestricted use of our data. Government regulation may be an important part of the solution, but it’s a blunt instrument; it’s slow and cumbersome to implement, and may only make the problem worse. Thanks to EU laws, we now click “Accept All Cookies” to every new website we visit, but that added inconvenience may outweigh any benefit.

At the moment, the current Terms of Service form that users “Agree” to is an ultimatum. Enlightened organizations like Mozilla offer a better version. We believe it’s time to build off their innovative work and completely transform the ToS concept.

Unless we actively resist this process, we have no power over what happens to our data.

Superset follows a DAO governance model that gives its members governance over their data, coalesces and channels their voice, acting as an advocate and protector. While government regulation provides a one size fits none solution, DAOs provide more granular oversight power.

Through this DAO, we have the ability to revoke the consent to use all members’ data in one shot. This mechanism ensures the DAO can provide a check on Delphia’s power over its users in practice. Specifically, the ability to say, “If this concern is not addressed, everyone’s consents will be revoked” gives us real bargaining power.

This is also not a new idea. For roughly the last 15 years, as social networks and advertising platforms grew in reach and power, there have been many attempts to create a kind of coalition that acts in the best interests of the users and their data. There have been proposals about more ethical uses of data, as well as data trusts and data DAOs. But so far, none of them have caught on. Success is not achieved solely from what is built, but also how it fits into an ecosystem. Data governance and data commercialization need to be pursued symbiotically, rather than antagonistically.

Superset has an important, if somewhat ironic advantage to previous attempts to create a data coalition: It’s a project whose launch funding came from Delphia, a YCombinator-funded data driven investment service. Importantly, Superset is independent of Delphia, with a legally enshrined purpose of constraining Delphia’s power over its users’ data. This gives us both the independence and financing needed to deploy this DAO that has a symbiotic relationship with an established tech company.

Delphia is not simply doing this to be a good corporate citizen. Our DAO’s hypothesis is that being respectful of people’s data and that making them first class citizens in economic data systems will actually lead to higher quality data and to better commercial opportunities for Delphia. When we prove this through Superset, we believe other companies will adopt a similar pattern.

Very roughly summarized, here’s how it works:

When users sign-up with Delphia, the service leverages their data to power the company’s machine-learning model. But the company does not get unlimited, uncompensated access to that data — the users still maintain oversight of the terms of that data usage through Superset.

This is why Delphia’s sign-up process includes an onboarding process starting with a screen that looks like this, different from any that has come before:

Clicking Agree starts the process for the user to join Superset, which is legally contracted with both Delphia and data contributors, in order to serve the interests of those who share their data with the company, according to Superset’s purpose.

As that suggests, the DAO is not only a blockchain-based group; it is also legally formed as a Guernsey purpose trust. This gives us real, actionable protection over user data, which we informally call a “killswitch”. If DAO members collectively decide that Delphia is unfairly exploiting their data (per the agreed upon terms of service), they can collectively opt out in bulk.

SuperSet provides a model for user-centric oversight for any companies to ethically manage their users’ data. By proving that it is not only possible, but beneficial to govern algorithmic systems paves the way for consumers and regulators to demand change.

As controversies around Twitter, TikTok, and other leading social networks continue, new competitors are clamoring to be seen as better and more ethical alternatives to the market leaders. A would-be Twitter competitor would want to adopt the Superset DAO model as a way of attracting early adopters and differentiating itself from other platforms.

In the tradition of open source software, Superset is an open source organization. Superset’s animating purpose, formative documents, governance model and technical tooling are being shared publicly. While no one has made a data trust quite like this before, there is no silver bullet for governance; we expect Superset to evolve over time. Forks are encouraged!

Another one of Superset’s summoners is Dr. Michael Zargham, CEO of BlockScience, whose work on cybernetics I’ve admired for some time. We finally got to meet in person at last summer’s Decentralized Web Conference. That’s when we quickly realized there was a lot of overlap between our interests in systems, cyborgs and cybernetics! It’s been a privilege to work together on Superset, and on this post.

Reflecting on my work in Calm Technology, I believe Superset offers a calmer experience for our data — giving people tools that allow us to manage our data, but without demanding constant engagement. Successful data governance provides peace of mind.

This is an exciting project and I can’t wait to talk more about it soon. As with my new series on cybernetics, it reflects a life goal I formulated over the New Year: I’d like to take what I’ve learned in the first half of my life to complex systems, and apply them in the real world.

Beginning with Superset.

For more info, please see the FAQ below, or check out the Superset site.

FAQ

How can people join Superset?

As of right now, simply sign up for Delphia through its mobile app and click Agree to join Superset during onboarding. Delphia is collecting and commercially leveraging user data, and has contracted with Superset to negotiate over the ways in which they collect, store, use and compensate users for that data.

What is Delphia?

Delphia is an investment app that leverages user data in its prediction algorithm for publicly traded companies.

Who is on Superset’s Governing Board?

Eric Alston is a constitutional lawyer, Research Associate for the Comparative Constitutions Project at the University of Chicago Law School, and is Faculty Director of the Hernando De Soto Capital Markets Program at the University of Colorado at Boulder.

Ben Bartlett is a technology lawyer and Vice Mayor for the City of Berkeley.

Amber Case is author of Calm Technology and has consulted for Microsoft, IDEO, Deloitte, Virgin, Warner Brothers, Fedex, and Esri, among many other organizations. She was previously a fellow at MIT’s Center for Civic Media and Harvard’s Berkman Klein Center for Internet & Society.

Andrew Peek is CEO of Delphia. Superset identifies Andrew as an interested trustee, limiting his power to impact Superset’s decisions. Andrew has helped shape Superset’s mission of serving data contributors and an advocate for Superset’s formation to Delphia’s board.

Dr. Michael Zargham is the Founder & Chief Engineer of BlockScience, a Board Member at the Metagovernance Project and holds a PhD in Electrical Engineering from the University of Pennsylvania. BlockScience has worked with Delphia to design and implement its systems to be technically, economically and ethically sound. Due to BlockScience’s role as a contractor to Delphia, Zargham is also identified as an interested trustee.

What are the limitations imposed on “interested” trustees?

Interested trustees are treated as having a conflict of interest. They recuse themselves from voting on board resolutions, unless the independent (non-interested) trustees determine that they are not conflicted. Practically, independent trustees are by default assumed to be unconflicted and interested trustees are by default assumed to be conflicted.

How is the board held accountable to Superset’s animating purpose?

Working in tandem with our board, there is a third party algorithmic auditor. The algorithmic auditor monitors how Delphia utilizes the contributed data, and what revenues are produce from commercial applications of that data.

The algorithmic auditor also fulfills the critical role of Trust Enforcer, as well as providing concrete reporting to Superset members so they can be informed participants in governance.

How will people’s lives be different if Superset succeeds?

If Superset’s governance model is widely adopted across the Internet, consumers’ daily lives will not substantially change; however, they will experience long term benefits from a shift toward balance of power between corporations and users of their products.

Who can participate in the Superset DAO?

Anyone who signs up for Delphia has the option to become a member of Superset, and enjoy the right to raise any question or concern about their data with the DAO as desired. As members, they’ll also receive members benefits from Delphia and any other entities Superset chooses to work with in the future. We might occasionally hold referendums or votes, but only as needed; participation is voluntary and optional.

What should members expect when joining Superset?

Members will engage with other early adopters who are passionate about democratic governance and consumer rights, as well as help define and refine the governance practices within Superset.

Am I giving my data to Delphia when I sign up? Can I take it back?

By joining Superset, you’re entering into a relationship with Delphia where you give the company consent to store your data and leverage it in designated ways in exchange for democratic oversight through Superset, along with other benefits. You retain your right to revoke data usage rights and even to have it deleted from all Delphia servers.

What can Superset do if you have an issue with how your data is being used by Delphia?

Individual members can revoke consent over their data and order its deletion by request at any time. Our collective “circuit breaker” is triggered by a majority vote and bulk revokes consents over members’ data. Our third party auditor will then confirm that this data is no longer being used. If usage continues after the circuit breaker is triggered, Delphia would be in violation of its contractual obligations to Superset’s legal entity, enforceable in a US court of law.

How can other companies use the structure outlined in this post to govern their own data trusts through a DAO?

Our design is based on first principles which can be carried forward to other orgs with similar animating purposes. Our governance work, smart contract code, documentation and other artifacts will be shared publicly under a creative commons license. Organizations looking for support should contact BlockScience.

What’s the roadmap for Superset?

We are soft launching Superset now, and will expand slowly as new members join. The issuance of the membership cards is our first major milestone. Early members will help determine our governance infrastructures such as deliberative processes, proposal making, and voting mechanisms. We are also developing a public documentation site.

Is Delphia offering a cryptocurrency?

Delphia is exploring the use of cryptocurrency for its compensation models, but due to the current regulatory environment, it’s currently not clear if this pilot will be continued.

Is there a blockchain?

Superset member logs will be run on a blockchain. When you join Superset, you get a membership card which is effectively an NFT that also grants access to our digital community spaces, such as a members-only forum, along with other future benefits.

Does Delphia put my user data on a blockchain?

No, not at all. User data is kept private. Privacy preserving technologies, such as zero knowledge proofs, are being explored for technical enforcement of agreed upon terms.

Why is Superset being structured as a DAO? Wouldn’t it work better as a registered non-profit? What specifically about a DAO affords more surface area for governance between parties?

Superset is a new kind of organization and the non-profit structure can be restrictive. To preserve flexibility, the DAO is utilizing a Guernsey purpose trust with fiduciary duties to the purposes of the Superset — to ensure that members receive a fair share of the returns resulting from the use of their data and to determine how their data may be collected, processed, stored, and used. The DAO is a decentralized governance model enabling members to participate in governance through a variety of technical tools.

What happens if Delphia is purchased?

This DAO will continue to exist and operate even when or if Delphia is purchased. The purchaser will still be bound by any legal agreements Delphia has with Superset and its members.

Where can I read more about how Superset operates?

We’ll be releasing more documentation soon, but for now you can check out the https://www.supersetdao.com/ site, and sign up for https://delphia.com/.

Thanks to Dr. Michael Zargham for help in drafting this post, as well as everyone involved on the Superset and Delphia side!

 
 
 

The terms “calm computing” and calm technology were coined in 1995 by PARC Researchers Mark Weiser and John Seely Brown in reaction to the increasing complexities that information technologies were creating. He felt that the promise of computing systems was that they might “simplify complexities, not introduce new ones.”

‍Weiser believed that this would lead to an era of “calm technology,” in which technology, rather than panicking us, would help us focus on the things that were really important to us.

In 2015, Amber Case dramatically expanded on the concept of calm technology by writing a book on the subject, as well as defining the core principles of calm technology. These principles are now in use by companies all over the world.

Principles of Calm Technology

Technology should require the smallest possible amount of attention

  1. Technology can communicate, but doesn’t need to speak.

  2. Create ambient awareness through different senses.

  3. Communicate information without taking the user out of their environment or task.

Technology should inform and create calm

  1. A person's primary task should not be computing, but being human.

  2. Give people what they need to solve their problem, and nothing more.

Technology should make use of the periphery

  1. A calm technology will move easily from the periphery of our attention, to the center, and back.

  2. The periphery is informing without overburdening.

Technology should amplify the best of technology and the best of humanity

  1. Design for people first.

  2. Machines shouldn't act like humans.

  3. Humans shouldn't act like machines.

  4. Amplify the best part of each.

Technology can communicate, but doesn’t need to speak

  1. Does your product need to rely on voice, or can it use a different communication method?

  2. Consider how your technology communicates status.

Technology should work even when it fails

  1. Think about what happens if your technology fails.

  2. Does it default to a usable state or does it break down completely?

The right amount of technology is the minimum needed to solve the problem

  1. What is the minimum amount of technology needed to solve the problem?

  2. Slim the feature set down so that the product does what it needs to do and no more.

Technology should respect social norms

  1. Technology takes time to introduce to humanity.

  2. What social norms exist that your technology might violate or cause stress on?

  3. Slowly introduce features so that people have time to get accustomed to the product.

You can learn more about Calm Technology at https://calmtech.com/

 
 
 

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