In the work described in our paper, we created a set of conceptual speculative designs to explore privacy issues around emerging biosensing technologies, technologies that sense human bodies. We then used these designs to help elicit discussions about privacy with students training to be technologists. We argue that this approach can be useful for Values in Design and Privacy by Design research and practice.
Recent wearable and sensing devices, such as Google Glass, Strava, and internet-connected toys have raised questions about ways in which privacy and other social values might be implicated by their development, use, and adoption. At the same time, legal, policy, and technical advocates for “privacy by design” have suggested that privacy should embedded into all aspects of the design process, rather than being addressed after a product is released, or rather than being addressed as just a legal issue. By advocating that privacy be addressed through technical design processes, the ability for technology professionals to surface, discuss, and address privacy and other social values becomes vital.
Companies and technologists already use a range of tools and practices to help address privacy, including privacy engineering practices, or making privacy policies more readable and usable. But many existing privacy mitigation tools are either deductive, or assume that privacy problems already known and well-defined in advance. However we often don’t have privacy concerns well-conceptualized in advance when creating systems. Our research shows that design approaches (drawing on a set of techniques called speculative design and design fiction) can help better explore, define, perhaps even anticipate, the what we mean by “privacy” in a given situation. Rather than trying to look at a single, abstract, universal definition of privacy, these methods help us think about privacy as relations among people, technologies, and institutions in different types of contexts and situations.
Creating Design Workbooks
We created a set of design workbooks — collections of design proposals or conceptual designs, drawn together to allow designers to investigate, explore, reflect on, and expand a design space. We drew on speculative design practices: in brief, our goal was to create a set of slightly provocative conceptual designs to help engage people in reflections or discussions about privacy (rather than propose specific solutions to problems posed by privacy).
A set of sketches that comprise the design workbook
Inspired by science fiction, technology research, and trends from the technology industry, we created a couple dozen fictional products, interfaces, and webpages of biosensing technologies, or technologies that sense people. These included smart camera enabled neighborhood watch systems, advanced surveillance systems, implantable tracking devices, and non-contact remote sensors that detect people’s heartrates. In earlier design work, we reflected on how putting the same technologies in different types of situations, scenarios, and social contexts, would vary the types of privacy concerns that emerged (such as the different types of privacy concerns that would emerge if advanced miniatures cameras were used by the police, by political advocates, or by the general public). However, we wanted to see how non-researchers might react to and discuss the conceptual designs.
How Did Technologists-In-Training View the Designs?
Through a series of interviews, we shared our workbook of designs with masters students in an information technology program who were training to go into the tech industry. We found several ways in which they brought up privacy-related issues while interacting with the workbooks, and highlight three of those ways here.
TruWork — A product webpage for a fictional system that uses an implanted chip allowing employers to keep track of employees’ location, activities, and health, 24/7.
First, our interviewees discussed privacy by taking on multiple user subject positions in relation to the designs. For instance, one participant looked at the fictional TruWork workplace implant design by imagining herself in the positions of an employer using the system and an employee using the system, noting how the product’s claim of creating a “happier, more efficient workplace,” was a value proposition aimed at the employer rather than the employee. While the system promises to tell employers whether or not their employees are lying about why they need a sick day, the participant noted that there might be many reasons why an employee might need to take a sick day, and those reasons should be private from their employer. These reflections are valuable, as prior work has documented how considering the viewpoints of direct and indirect stakeholders is important for considering social values in design practices.
A second way privacy reflections emerged was when participants discussed the designs in relation to their professional technical practices. One participant compared the fictional CoupleTrack implant to a wearable device for couples that he was building, in order to discuss different ways in which consent to data collection can be obtained and revoked. CoupleTrack’s embedded nature makes it much more difficult to revoke consent, while a wearable device can be more easily removed. This is useful because we’re looking for ways workbooks of speculative designs can help technologists discuss privacy in ways that they can relate back to their own technical practices.
A third theme that we found was that participants discussed and compared multiple ways in which a design could be configured or implemented. Our designs tend to describe products’ functions but do not specify technical implementation details, allowing participants to imagine multiple implementations. For example, a participant looking at the fictional automatic airport tracking and flagging system discussed the privacy implication of two possible implementations: one where the system only identifies and flags people with a prior criminal history (which might create extra burdens for people who have already served their time for a crime and have been released from prison); and one where the system uses behavioral predictors to try to identify “suspicious” behavior (which might go against a notion of “innocent until proven guilty”). The designs were useful at provoking conversations about the privacy and values implications of different design decisions.
Thinking About Privacy and Social Values Implications of Technologies
This work provides a case study showing how design workbooks and speculative design can be useful for thinking about the social values implications of technology, particularly privacy. In the time since we’ve made these designs, some (sometimes eerily) similar technologies have been developed or released, such as workers at a Swedish company embedding RFID chips in their hands, or Logitech’s Circle Camera.
But our design work isn’t meant to predict the future. Instead, what we tried to do is take some technologies that are emerging or on the near horizon, and think seriously about ways in which they might get adopted, or used and misused, or interact with existing social systems — such as the workplace, or government surveillance, or school systems. How might privacy and other values be at stake in those contexts and situations? We aim for for these designs to help shed light on the space of possibilities, in an effort to help technologists make more socially informed design decisions in the present.
We find it compelling that our design workbooks helped technologists-in-training discuss emerging technologies in relation to everyday, situated contexts. These workbooks don’t depict far off speculative science fiction with flying cars and spaceships. Rather they imagine future uses of technologies by having someone look at a product website, or a amazon.com page or an interface and thinking about the real and diverse ways in which people might experience those technology products. Using these techniques that focus on the potential adoptions and uses of emerging technologies in everyday contexts helps raise issues which might not be immediately obvious if we only think about positive social implications of technologies, and they also help surface issues that we might not see if we only think about social implications of technologies in terms of “worst case scenarios” or dystopias.
Richmond Y. Wong, Deirdre K. Mulligan, Ellen Van Wyk, James Pierce, and John Chuang. 2017. Eliciting Values Reflections by Engaging Privacy Futures Using Design Workbooks. Proc. ACM Hum.-Comput. Interact. 1, CSCW, Article 111 (December 2017), 26 pages. DOI: https://doi.org/10.1145/3134746
Most of these narratives and imaginings about BCIs tend to be utopian, or dystopian, imagining radical technological or social change. However, we instead aim to imagine futures that are not radically different from our own. In our project, we use design fiction to ask: how can we graft brain computer interfaces onto the everyday and mundane worlds we already live in? How can we explore how BCI uses, benefits, and labor practices may not be evenly distributed when they get adopted?
At the Berkeley School of Information, a group of researchers interested in the areas of critically-oriented design practices, critical social theory, and STS have hosted a reading group called “Assembling Critical Practices,” bringing together literature from these fields, in part to track their historical continuities and discontinuities, as well as to see new opportunities for design and research when putting them in conversation together.I’ve posted our reading list from our first iterations of this group. Sections 1-3 focus on critically-oriented HCI, early critiques of AI, and an introduction to critical theory through the Frankfurt School. This list comes from an I School reading group put together in collaboration with Anne Jonas and Jenna Burrell.
Section 4 covers a broader range of social theories. This comes from a reading group sponsored by the Berkeley Social Science Matrix organized by myself and Anne Jonas with topic contributions from Nick Merrill, Noura Howell, Anna Lauren Hoffman, Paul Duguid, and Morgan Ames (Feedback and suggestions are welcome! Send an email to firstname.lastname@example.org).
I presented this talk in November 2017, at the Berkeley I School PhD Research Reception. The talk discusses findings from 2 of our papers:
Richmond Y. Wong, Ellen Van Wyk and James Pierce. (2017). Real-Fictional Entanglements: Using Science Fiction and Design Fiction to Interrogate Sensing Technologies. In Proceedings of the ACM Conference on Designing Interactive Systems (DIS ’17).https://escholarship.org/uc/item/7r229796
Richmond Y. Wong, Deirdre K. Mulligan, Ellen Van Wyk, James Pierce and John Chuang. (2017). Eliciting Values Reflections by Engaging Privacy Futures Using Design Workbooks. Proceedings of the ACM Human Computer Interaction (CSCW 2018 Online First). 1, 2, Article 111 (November 2017), 27 pages. https://escholarship.org/uc/item/78c2802k
Google Glass has returned — as Glass Enterprise Edition. The company’s website suggests that it can be used in professional settings–such as manufacturing, logistics, and healthcare — for specific work applications, such as accessing training videos, annotated images, handsfree checklists, or sharing your viewpoint with an expert collaborator. This is a very different imagined future with Glass than in the 2012 “One Day” concept video where a dude walks around New York City taking pictures and petting dogs. In fact, the idea of using this type of product in a professional working space, collaborating with experts from your point of view sounds a lot like the original Microsoft HoloLens concept video (mirror).
This is not to say one company followed or copied another (and in fact Hololens’ more augmented-reality-like interface and Glass’ more heads-up-display-like interface will likely be used for different types of applications. It is, however, a great example of how a product’s creepiness is partly related to whether it’s envisioned as a device to be used in constrained contexts or not. In a great opening line which I think sums this well, Levi Sumagaysay at Silicon Beat says:
Now Google Glass is productive, not creepy.
As I’ve previously written with Deirdre Mulligan[open access version] about the future worlds imagined by the original video presentations of Glass and HoloLens, Glass’ original portrayal of being always-on (and potentially always recording), invisible to others, taking information from one social context and using it in another, used in public spaces, made it easier to see it as a creepy and privacy-infringing device. (It didn’t help that the first Glass video also only showed the viewpoint of a single imagined user, a 20-something-year-old white man). Its goal seemed to be to capture information about a person’s entire life — from riding the subway to getting coffee with friends, to shopping, to going on dates. And a lot of people reacted negatively to Glass’ initial explorer edition, with Glass bans in some bars and restaurants, campaigns against it, and the rise of the colloquial term “glasshole.” In contrast, HoloLens was depicted as a very visible and very bulky device that can be easily seen, and its use was limited to a few familiar, specific places and contexts — at work or at home, so it’s not portrayed as a device that could record anything at any time. Notably, the HoloLens video also avoided showing the device in public spaces. HoloLens was also presented as a productivity tool to help complete specific tasks in new ways (such as CAD, helping someone complete a task by sharing their point of view, and the ever exciting file sharing), rather than a device that could capture everything about a user’s life. And there were few public displays of concern over privacy. (If you’re interested in more, I have another blog entry with more detail).
Whether explicit or implicit, the presentation of Glass Enterprise Edition seems to recognize some of the lessons about constraining the use of such an expansive set of capabilities to particular contexts and roles. Using Glass’ sensing, recording, sharing, and display capabilities within the confines of professionals doing manufacturing, healthcare, or other work on the whole helps position the device as something that will not violate people’s privacy in public spaces. (Though it is perhaps still to be seen what types of privacy problems related to Glass will emerge in workplaces, and how those might be addressed through design, use rules, training, an so forth). What is perhaps more broadly interesting is how the same technology can take on different meanings with regards to privacy based on how it’s situated, used, and imagined within particular contexts and assemblages.
Today I’ll discuss an analysis of 2 of Amazon’s concept videos depicting their future autonomous drone service, how they frame privacy issues, and how these videos can be viewed in conversation with privacy laws and regulation.
As a privacy researcher with a human computer interaction background, I’ve become increasingly interested in how processes of imagination about emerging technologies contribute to narratives about the privacy implications of those technologies. Toda I’m discussing some thoughts emerging from a project looking at Amazon’s drone delivery service. In 2013, Amazon – the online retailer – announced Prime Air, a drone-based package delivery service. When they made their announcement, the actual product was not ready for public launch – and it’s still not available as of today. But what’s interesting is that at the time the announcement was made, Amazon also released a video that showed what the world might look like with this service of automated drones. And they released a second similar video in 2015. We call these videos concept videos.