ABSTRACT
Biosensors-devices that sense the human body-are increasingly ubiquitous. However, it is unclear how people evaluate the risks associated with their use, in part because it is not well-understood what people believe these sensors can reveal. In this study, participants ranked biosensors by how likely they are to reveal what a person is thinking and feeling. We report quantitative and qualitative results of two survey-based studies, one on Mechanical Turk workers (n=100), and one on participants in a longitudinal self-tracking study (n=100). Our findings imply that, in the absence of information about particular sensing technologies, people rely on existing beliefs about the body to explain what they might reveal. Highlighting mismatches between perceived and actual technical capabilities, we contribute recommendations for designers and users.
- Madeleine Akrich. 1992. The de-scription of technical objects . In Shaping technologybuilding society.Google Scholar
- Sabrina S Ali, Michael Lifshitz, and Amir Raz. 2014. Empirical neuroenchantment: from reading minds to thinking critically. Frontiers in human neuroscience 8, May (may 2014), 357.Google Scholar
- Luca Canzian and Mirco Musolesi. 2015. Trajectories of depression. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP '15). 1293--1304. Google ScholarDigital Library
- Sunny Consolvo, Ian E. Smith, Tara Matthews, Anthony LaMarca, Jason Tabert, and Pauline Powledge. 2005. Location disclosure to social relations. In Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '05. ACM Press, 81. Google ScholarDigital Library
- Sophie Day and Celia Lury. 2016. Biosensing: Tracking Persons . Quantified: Biosensing Technologies in Everyday Life (2016), 43.Google Scholar
- Joseph Dumit. 2004. Picturing Personhood: Brain Scans and Biomedical Identity . Information Series (2004), 251.Google ScholarCross Ref
- We Are Dynamo. 2018. Guidelines for Academic Requesters. (2018).Google Scholar
- Deborah Estrin and Ida Sim. 2010. Health care delivery. Open mHealth architecture: an engine for health care innovation. PLoS Medicine 10, 2 (2010), e10011395.Google Scholar
- Jé ré my Frey, Renaud Gervais, Sté phanie Fleck, Fabien Lotte, and Martin Hachet. 2014. Teegi: tangible EEG interface. In Proceedings of the 27th annual ACM symposium on User interface software and technology - UIST '14. ACM, Honolulu, É tats-Unis, 301--308.Google ScholarDigital Library
- Donna Jeanne Haraway. 1988. Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective . Feminist Studies 14, 3 (1988), 575--599.Google ScholarCross Ref
- Tad Hirsch, Aaron Dembe, Christina Soma, Derek D Caperton, and David C Atkins. 2018. "It's hard to argue with a computer:" Investigating Psychotherapists' Attitudes towards Automated Evaluation . (2018), 559--571.Google Scholar
- Jason I. Hong, Jennifer D. Ng, Scott Lederer, and James A. Landay. 2004. Privacy risk models for designing privacy-sensitive ubiquitous computing systems . Proceedings of the 2004 conference on Designing interactive systems processes, practices, methods, and techniques - DIS '04 (2004), 91.Google ScholarDigital Library
- Noura Howell, John Chuang, Abigail De Kosnik, Greg Niemeyer, and Kimiko Ryokai. 2018. Emotional Biosensing: Exploring Critical Alternatives. Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 69 (Nov. 2018), 25 pages. Google ScholarDigital Library
- Noura Howell, Laura Devendorf, Rundong Kevin Tian, Tomá s Vega Galvez, Nan-wei Gong, Ivan Poupyrev, Eric Paulos, Kimiko Ryokai, and U C Berkeley. 2016. Biosignals as Social Cues : Ambiguity and Emotional Interpretation in Social Displays of Skin Conductance (DIS '16). ACM. Google ScholarDigital Library
- Scott R Klemmer, Bjö rn Hartmann, and Leila Takayama. 2006. How Bodies Matter : Five Themes for Interaction Design . Designing Interactive Systems (2006), 140--149. Google ScholarDigital Library
- Lucian Leahu and Phoebe Sengers. 2014. Freaky: performing hybrid human-machine emotion . In Proceedings of the 2014 Conference on Designing interactive Systems (DIS '14). 607--616. Google ScholarDigital Library
- Ilaria Liccardi, Alfie Abdul-Rahman, and Min Chen. 2016. I Know Where You Live: Inferring Details of People's Lives by Visualizing Publicly Shared Location Data. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 1--12. Google ScholarDigital Library
- Andrew Liptak. 2016. There Are Some Super Shady Things in Oculus Rift's Terms of Service . Gizmodo (2016). http://gizmodo.com/there-are-some-super-shady-things-in-oculus-rifts-terms-1768678169Google Scholar
- Nick Merrill and Coye Cheshire. 2017. Trust Your Heart: Assessing Cooperation and Trust with Biosignals in Computer-Mediated Interactions. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work (CSCW '17). Portland, OR. Google ScholarDigital Library
- Nick Merrill and John Chuang. 2018. From Scanning Brains to Reading Minds: Talking to Engineers about Brain-Computer Interface. In Proceedings of the 2018 ACM Conference on Computer Human Interaction (CHI '18). Montreal, QC. Google ScholarDigital Library
- Cade Metz. 2017. Facebook's Race to Link Your Brain to a Computer Might Be Unwinnable . Wired (apr 2017). https://www.wired.com/2017/04/facebooks-race-link-brain-computer-might-unwinnable/Google Scholar
- David Mohr, Mi Zhang, and Stephen M. Schueller. 2017. Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning . SSRN 13 (2017), 23--47.Google Scholar
- Dawn Nafus. 2016. Quantified: Biosensing technologies in everyday life . MIT Press. Google ScholarDigital Library
- Dawn Nafus and Jaime Sherman. 2014. This One Does Not Go Up to 11 : The Quantified Self Movement as an Alternative Big Data Practice . International Journal of Communication 8 (2014), 1--11.Google Scholar
- Lucas Nolan and Dave C. 2017. Comment on "Facebook Working on Brain-Computer Interface to Translate Thoughts to Text" . Breitbart (apr 2017). http://disq.us/p/1i7l4dvGoogle Scholar
- James Pierce, Sarah Fox, Nick Merrill, Richmond Wong, and Carl DiSalvo. 2018a. An Interface without A User: An Exploratory Design Study of Online Privacy Policies and Digital Legalese. In Proceedings of the 2018 ACM Conference on Designing Interactive Systems Conference (DIS '18). ACM, Hong Kong, PRC, 1345--1358.Google ScholarDigital Library
- James Pierce, Nick Merrill, Richmond Y Wong, Sarah Fox, and Eric Paulos. 2018b. An Interface without A User : An Exploratory Design Study of Online Privacy Policies and Digital Legalese . (2018). Google ScholarDigital Library
- Aare Puussaar, Adrian K. Clear, and Peter Wright. 2017. Enhancing Personal Informatics Through Social Sensemaking . Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems - CHI '17 (2017), 6936--6942.Google ScholarDigital Library
- Emilee Rader and Janine Slaker. 2017. The Importance of Visibility for Folk Theories of Sensor Data. In Symposium on Usable Privacy and Security (SOUPS) 2017. Google ScholarDigital Library
- Nikolas Rose. 2016. Reading the human brain: How the mind became legible . Body & Society 22, 2 (jun 2016), 140--177.Google ScholarCross Ref
- Minna Ruckenstein. 2014. Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles . Societies (2014).Google Scholar
- Elaine Sedenberg, Richmond Y Wong, and John C.-I. Chuang. 2017. A Window into the Soul: Biosensing in Public . CoRR abs/1702.0 (2017). http://arxiv.org/abs/1702.04235Google Scholar
- Lucy Suchman. 2015. Situational awareness: Deadly bioconvergence at the boundaries of bodies and machines . MediaTropes 5, 1 (2015), 1--24.Google Scholar
- Peter Tolmie, Andy Crabtree, Tom Rodden, James A Colley, and Ewa A Luger. 2016. "This has to be the cats": Personal Data Legibility in Networked Sensing Systems. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing - CSCW '16. 490--501.Google ScholarDigital Library
- Dominique Trottier, Patrice Renaud, Joanne Lucine Rouleau, Mathieu Goyette, Chantal Saumur, Tarik Boukhalfi, and Sté phane Bouchard. 2015. Erratum to: Using immersive virtual reality and anatomically correct computer-generated characters in the forensic assessment of deviant sexual preferences {Virtual Reality, (2014), 18, 37--47. Virtual Reality 19, 3--4 (2015), 303. http://dx.doi.org/10.1007/s10055-015-0277--1. Google ScholarDigital Library
- Tim Urban. 2017. Neuralink and the Brain's Magical Future. (2017). https://waitbutwhy.com/2017/04/neuralink.htmlGoogle Scholar
- Janet Vertesi, Jofish Kaye, Samantha N. Jarosewski, Vera D. Khovanskaya, and Jenna Song. 2016. Data Narratives: uncovering tensions in personal data management . Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing - CSCW '16 27 (2016). Google ScholarDigital Library
- Robert S Weiss. 1995. Learning from strangers: The art and method of qualitative interview studies . Simon and Schuster.Google Scholar
- Gary Wolf. 2010. The Data-Driven Life. (apr 2010). http://www.nytimes.com/2010/05/02/magazine/02self-measurement-t.htmlhttp://www.nytimes.com/2010/05/02/magazine/02self-measurement-t.html?Google Scholar
Index Terms
- Sensing is Believing: What People Think Biosensors Can Reveal About Thoughts and Feelings
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