More Web Proxy on the site http://driver.im/

research-article

I Can't Be Myself: Effects of Wearable Cameras on the Capture of Authentic Behavior in the Wild

Authors:

Nilofar Vafaie,

Angela Pfammatter,

Nabil AlshurafaAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 2, Issue 3

Article No.: 90, Pages 1 - 40

https://doi.org/10.1145/3264900

Published: 18 September 2018 Publication History

Abstract

Wearable sensors can provide reliable, automated measures of health behaviors in free-living populations. However, validation of these measures is impossible without observable confirmation of behaviors. Participants have expressed discomfort during the use of ego-centric wearable cameras with first-person view. We argue that mounting the camera on different body locations with a different lens orientation, gives a device recording affordance that has the effect of reducing surveillance and social discomfort compared to ego-centric cameras. We call these types of cameras "activity-oriented" because they are designed to capture a particular activity, rather than the field of view of the wearer. We conducted an experiment of three camera designs with 24 participants, collecting qualitative data on participants' experience while wearing these devices in the wild. We provide a model explaining factors that lead to an increase in social presence and social stigma, which, therefore, create social and surveillance discomfort for the wearer. Wearers' attempts to reduce this discomfort by modifying their behavior or abandoning the device threatens the validity of observations of authentic behaviors. We discuss design implications and provide recommendations to help reduce social presence and stigma in order to improve the validity of observations with cameras in the wild.

References

[1]

Abdelkareem Bedri, Richard Li, Malcolm Haynes, Raj Prateek Kosaraju, Ishaan Grover, Temiloluwa Prioleau, Min Yan Beh, Mayank Goel, Thad Starner, and Gregory Abowd. 2017. EarBit: using wearable sensors to detect eating episodes in unconstrained environments. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 3 (2017), 37.

Digital Library

[2]

Margherita Bonetto, Pavel Korshunov, Giovanni Ramponi, and Touradj Ebrahimi. 2015. Privacy in mini-drone based video surveillance. In Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on, Vol. 4. IEEE, 1--6.

[3]

Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77--101.

[4]

Ben Brucato. 2015. Policing made visible: Mobile technologies and the importance of point of view. Surveillance 8 society 13, 3/4 (2015), 455.

[5]

Niamh Caprani, Noel E O'Connor, and Cathal Gurrin. 2013. Experiencing SenseCam: a case study interview exploring seven years living with a wearable camera. In Proceedings of the 4th international SenseCam 8 pervasive imaging conference. ACM, 52--59.

Digital Library

[6]

Richard Chalfen. 2014. 'Your panopticon or mine?'Incorporating wearable technology's Glass and GoPro into visual social science. Visual Studies 29, 3 (2014), 299--310.

[7]

Cheng-Sheng Chan, Shou-Zhong Chen, Pei-Xuan Xie, Chiung-Chih Chang, and Min Sun. 2016. Recognition from hand cameras: A revisit with deep learning. In European Conference on Computer Vision. Springer, 505--521.

[8]

Mark H Chignell, Anabel Quan-Haase, and Jacek Gwizdka. 2003. The privacy attitudes questionnaire (paq): initial development and validation. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 47. SAGE Publications, 1326--1330.

[9]

Eun Kyoung Choe, Sunny Consolvo, Jaeyeon Jung, Beverly Harrison, Shwetak N. Patel, and Julie A. Kientz. 2012. Investigating Receptiveness to Sensing and Inference in the Home Using Sensor Proxies. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12). ACM, New York, NY, USA, 61--70.

Digital Library

[10]

Felicia Cordeiro, Daniel A Epstein, Edison Thomaz, Elizabeth Bales, Arvind K Jagannathan, Gregory D Abowd, and James Fogarty. 2015. Barriers and negative nudges: Exploring challenges in food journaling. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 1159--1162.

Digital Library

[11]

Fanny Coudert, Denis Butin, and Daniel Le Métayer. 2015. Body-worn cameras for police accountability: Opportunities and risks. Computer law 8 security review 31, 6 (2015), 749--762.

[12]

Darren W Dahl, Rajesh V Manchanda, and Jennifer J Argo. 2001. Embarrassment in consumer purchase: The roles of social presence and purchase familiarity. Journal of consumer research 28, 3 (2001), 473--481.

[13]

Tamara Denning. 2014. In Situ with Bystanders of Augmented Reality Glasses: Perspectives on Recording and Privacy-Mediating Technologies. (2014), 2377--2386.

Digital Library

[14]

Mariella Dimiccoli, Juan Marín, and Edison Thomaz. 2018. Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 4 (2018), 132.

Digital Library

[15]

Yujie Dong, Jenna Scisco, Mike Wilson, Eric Muth, and Adam Hoover. 2014. Detecting periods of eating during free-living by tracking wrist motion. IEEE journal of biomedical and health informatics 18, 4 (2014), 1253--1260.

[16]

Mingming Fan, Alexander Travis Adams, and Khai N. Truong. 2014. Public restroom detection on mobile phone via active probing. Proceedings of the 2014 ACM International Symposium on Wearable Computers - ISWC '14 (2014), 27--34.

Digital Library

[17]

Juan M Fontana, Muhammad Farooq, and Edward Sazonov. 2014. Automatic ingestion monitor: A novel wearable device for monitoring of ingestive behavior. IEEE Transactions on Biomedical Engineering 61, 6 (2014), 1772--1779.

[18]

Chris Fortuna, Christophe Giraud-Carrier, and Joshua West. 2016. Hand-to-Mouth Motion Tracking in Free-Living Conditions for Improved Weight Control. In Healthcare Informatics (ICHI), 2016 IEEE International Conference on. IEEE, 341--348.

[19]

James J Gibson. 2014. The ecological approach to visual perception: classic edition. Psychology Press.

[20]

Erving Goffman. 2006. The presentation of self. Life as theater: A dramaturgical sourcebook (2006).

[21]

Rúben Gouveia, Evangelos Karapanos, and Marc Hassenzahl. 2018. Activity Tracking in vivo. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 362.

Digital Library

[22]

Charlotte N Gunawardena. 1995. Social presence theory and implications for interaction and collaborative learning in computer conferences. International journal of educational telecommunications 1, 2 (1995), 147--166.

[23]

Cathal Gurrin, Rami Albatal, Hideo Joho, Kaori Ishii, Insight Centre, and Data Analytics. {n. d.}. A Privacy by Design Approach to Lifelogging. January 1878 ({n. d.}).

[24]

Barry K Herman, Linda S Deal, Dana B DiBenedetti, Lauren Nelson, Sheri E Fehnel, and T Michelle Brown. {n. d.}. Development o ft he 7-Item Binge-Eating Disorder Screener (BEDS-7). ({n. d.}).

[25]

C Peter Herman, Deborah A Roth, and Janet Polivy. 2003. Effects of the presence of others on food intake: a normative interpretation. Psychological bulletin 129, 6 (2003), 873.

[26]

Roberto Hoyle, Robert Templeman, Denise Anthony, David Crandall, and Apu Kapadia. 2015. Sensitive Lifelogs. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15 (2015), 1645--1648.

Digital Library

[27]

Roberto Hoyle, Robert Templeman, Steven Armes, Denise Anthony, and David Crandall. 2014. Privacy Behaviors of Lifeloggers using Wearable Cameras. UbiComp '14 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous (2014), 571--582.

Digital Library

[28]

Kher Hui, Ng Victoria, Shipp Richard, Mortier Steve, Martin Flintham, and Tom Rodden. 2015. Understanding food consumption lifecycles using wearable cameras. Personal and Ubiquitous Computing 19, 7 (2015), 1183--1195.

Digital Library

[29]

Ian Hutchby. 2001. Technologies, texts and affordances. Sociology 35, 2 (2001), 441--456.

[30]

Giovanni Iachello and Gregory D Abowd. 2005. Privacy and proportionality: adapting legal evaluation techniques to inform design in ubiquitous computing. In Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, 91--100.

Digital Library

[31]

Kim KP Johnson, Jeong-Ju Yoo, Minjeong Kim, and Sharron J Lennon. 2008. Dress and human behavior: A review and critique. Clothing and Textiles Research Journal 26, 1 (2008), 3--22.

[32]

Paul Kelly, Simon J Marshall, Hannah Badland, Jacqueline Kerr, Melody Oliver, Aiden R Doherty, and Charlie Foster. 2013. An ethical framework for automated, wearable cameras in health behavior research. American journal of preventive medicine 44, 3 (2013), 314--319.

[33]

Jacqueline Kerr, Simon J Marshall, Suneeta Godbole, Jacqueline Chen, Amanda Legge, Aiden R Doherty, Paul Kelly, Melody Oliver, Hannah M Badland, and Charlie Foster. 2013. Using the SenseCam to improve classifications of sedentary behavior in free-living settings. American journal of preventive medicine 44, 3 (2013), 290--296.

[34]

Jacqueline Kerr, Ruth E Patterson, Katherine Ellis, Suneeta Godbole, Eileen Johnson, Gert Lanckriet, and John Staudenmayer. 2016. Objective assessment of physical activity: classifiers for public health. Medicine and science in sports and exercise 48, 5 (2016), 951.

[35]

David Kim, Otmar Hilliges, Shahram Izadi, Alex D Butler, Jiawen Chen, Iason Oikonomidis, and Patrick Olivier. 2012. Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor. In Proceedings of the 25th annual ACM symposium on User interface software and technology. ACM, 167--176.

Digital Library

[36]

Marion Koelle, Abdallah El Ali, Vanessa Cobus, Wilko Heuten, and Susanne CJ Boll. 2017. All about Acceptability?: Identifying Factors for the Adoption of Data Glasses. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 295--300.

Digital Library

[37]

Marion Koelle, Matthias Kranz, and Andreas Möller. 2015. Don't look at me that way!: Understanding User Attitudes Towards Data Glasses Usage. In Proceedings of the 17th international conference on human-computer interaction with mobile devices and services. ACM, 362--372.

Digital Library

[38]

Mohammed Korayem, Robert Templeman, and Dennis Chen. 2016. Enhancing Lifelogging Privacy by Detecting Screens. (2016), 10--15.

[39]

Steven W Lichtman, Krystyna Pisarska, Ellen Raynes Berman, Michele Pestone, Hillary Dowling, Esther Offenbacher, Hope Weisel, Stanley Heshka, Dwight E Matthews, and Steven B Heymsfield. 1992. Discrepancy between self-reported and actual caloric intake and exercise in obese subjects. New England Journal of Medicine 327, 27 (1992), 1893--1898.

[40]

Michael R Lowe, Meghan L Butryn, Elizabeth R Didie, Rachel A Annunziato, J Graham Thomas, Canice E Crerand, Christopher N Ochner, Maria C Coletta, Dara Bellace, Matthew Wallaert, et al. 2009. The Power of Food Scale. A new measure of the psychological influence of the food environment. Appetite 53, 1 (2009), 114--118.

[41]

Steve Mann, Jason Nolan, and Barry Wellman. 2002. Sousveillance: Inventing and using wearable computing devices for data collection in surveillance environments. Surveillance 8 society 1, 3 (2002), 331--355.

[42]

Gabriela Marcu, Anind K Dey, and Sara Kiesler. 2012. Parent-driven use of wearable cameras for autism support: a field study with families. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing. ACM, 401--410.

Digital Library

[43]

Donald McMillan, Barry Brown, Airi Lampinen, Moira McGregor, Eve Hoggan, and Stefania Pizza. 2017. Situating Wearables: Smartwatch Use in Context. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 3582--3594.

Digital Library

[44]

Rémi Mégret, Vladislavs Dovgalecs, Hazem Wannous, Svebor Karaman, Jenny Benois-Pineau, Elie El Khoury, Julien Pinquier, Philippe Joly, Régine André-Obrecht, Yann Gaëstel, et al. 2010. The IMMED project: wearable video monitoring of people with age dementia. In Proceedings of the 18th ACM international conference on Multimedia. ACM, 1299--1302.

Digital Library

[45]

Tze Ming Mok, Flora Cornish, and Jen Tarr. 2015. Too much information: visual research ethics in the age of wearable cameras. Integrative Psychological and Behavioral Science 49, 2 (2015), 309--322.

[46]

Subhas Chandra Mukhopadhyay. 2015. Wearable sensors for human activity monitoring: A review. IEEE sensors journal 15, 3 (2015), 1321--1330.

[47]

Camille Nebeker, Tiffany Lagare, Michelle Takemoto, Brittany Lewars, Katie Crist, Cinnamon S. Bloss, and Jacqueline Kerr. 2016. Engaging research participants to inform the ethical conduct of mobile imaging, pervasive sensing, and location tracking research. Translational Behavioral Medicine 6, 4 (2016), 577--586.

[48]

Peter G Neumann. 1994. Computer-related risks. Addison-Wesley Professional.

Digital Library

[49]

Kher Hui Ng, Victoria Shipp, Richard Mortier, Steve Benford, Martin Flintham, and Tom Rodden. 2015. Understanding food consumption lifecycles using wearable cameras. Personal and Ubiquitous Computing 19, 7 (2015), 1183--1195.

Digital Library

[50]

David H Nguyen, Aurora Bedford, Alexander Gerard Bretana, and Gillian R Hayes. 2011. Situating the concern for information privacy through an empirical study of responses to video recording. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 3207--3216.

Digital Library

[51]

David H. Nguyen, Alfred Kobsa, Gillian R. Hayes, Gabriela Marcu, Gillian R. Hayes, Khai N. Truong, James Scott, Marc Langheinrich, and Christof Roduner. 2008. Encountering SenseCam: Personal Recording Technologies in Everyday Life. UbiComp August 2015 (2008), 182.

Digital Library

[52]

David H Nguyen, Gabriela Marcu, Gillian R Hayes, Khai N Truong, James Scott, Marc Langheinrich, and Christof Roduner. 2009. Encountering SenseCam: personal recording technologies in everyday life. In Proceedings of the 11th international conference on Ubiquitous computing. ACM, 165--174.

Digital Library

[53]

Don Norman. 2013. The design of everyday things: Revised and expanded edition. Basic Books (AZ).

[54]

Chanda Phelan, Cliff Lampe, and Paul Resnick. 2016. It's Creepy, But it Doesn't Bother Me. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 5240--5251.

Digital Library

[55]

Stefania Pizza, Barry Brown, Donald McMillan, and Airi Lampinen. 2016. Smartwatch in vivo. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 5456--5469.

Digital Library

[56]

Blaine A. Price, Avelie Stuart, Gul Calikli, Ciaran Mccormick, Vikram Mehta, Luke Hutton, Arosha K. Bandara, Mark Levine, and Bashar Nuseibeh. 2017. Logging You, Logging Me: A Replicable Study of Privacy and Sharing Behaviour in Groups of Visual Lifeloggers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 2, Article 22 (June 2017), 18 pages.

Digital Library

[57]

Halley Profita, Reem Albaghli, Leah Findlater, Paul Jaeger, and Shaun K Kane. 2016. The AT effect: how disability affects the perceived social acceptability of head-mounted display use. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 4884--4895.

Digital Library

[58]

Halley P Profita, James Clawson, Scott Gilliland, Clint Zeagler, Thad Starner, Jim Budd, and Ellen Yi-Luen Do. 2013. Don't mind me touching my wrist: a case study of interacting with on-body technology in public. In Proceedings of the 2013 International Symposium on Wearable Computers. ACM, 89--96.

Digital Library

[59]

Andrew Raij, Animikh Ghosh, Santosh Kumar, and Mani Srivastava. 2011. Privacy Risks Emerging from the Adoption of Innocuous Wearable Sensors in the Mobile Environment. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). ACM, New York, NY, USA, 11--20.

Digital Library

[60]

Amon Rapp and Federica Cena. 2015. Affordances for self-tracking wearable devices. In Proceedings of the 2015 ACM International Symposium on Wearable Computers. ACM, 141--142.

Digital Library

[61]

ResearchMatch. (accessed Dec 15, 2017). https://www.researchmatch.org/

[62]

Evan F Risko and Alan Kingstone. 2011. Eyes wide shut: implied social presence, eye tracking and attention. Attention, Perception, 8 Psychophysics 73, 2 (2011), 291--296.

[63]

Nazir Saleheen, Amin Ahsan Ali, Syed Monowar Hossain, Hillol Sarker, Soujanya Chatterjee, Benjamin Marlin, Emre Ertin, Mustafa Al'Absi, and Santosh Kumar. 2015. puffMarker: a multisensor approach for pinpointing the timing of first lapse in smoking cessation. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 999--1010.

Digital Library

[64]

Unit sales of action cameras worldwide from 2010 to 2016. (accessed April 20, 2018). https://www.statista.com/statistics/326898/worldwide-unit-sales-action-cams/

[65]

Li Shen and Peter R Stopher. 2014. Using SenseCam to pursue âĂrIJground truthâĂİ for global positioning system travel surveys. Transportation Research Part C: Emerging Technologies 42 (2014), 76--81.

[66]

Kristen Shinohara and Jacob O Wobbrock. 2011. In the shadow of misperception: assistive technology use and social interactions. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 705--714.

Digital Library

[67]

Srinath Sridhar, Anders Markussen, Antti Oulasvirta, Christian Theobalt, and Sebastian Boring. 2017. WatchSense: On-and Above-Skin Input Sensing through a Wearable Depth Sensor. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 3891--3902.

Digital Library

[68]

Lee Stearns, Uran Oh, Leah Findlater, and Jon E Froehlich. 2018. TouchCam: Real-time Recognition of Location-Specific On-Body Gestures to Support Users with Visual Impairments. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 4 (2018), 164.

Digital Library

[69]

Albert J Stunkard and Samuel Messick. 1985. The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. Journal of psychosomatic research 29, 1 (1985), 71--83.

[70]

Robert Templeman, Mohammed Korayem, David J Crandall, and Apu Kapadia. 2014. PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. In NDSS. 23--26.

[71]

Edison Thomaz, Irfan Essa, and Gregory D Abowd. 2015. A practical approach for recognizing eating moments with wrist-mounted inertial sensing. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 1029--1040.

Digital Library

[72]

Edison Thomaz, Aman Parnami, Jonathan Bidwell, Irfan Essa, and Gregory D. Abowd. 2013. Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras. Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing - UbiComp '13 (2013), 739.

Digital Library

[73]

Richard P Troiano, James J McClain, Robert J Brychta, and Kong Y Chen. 2014. Evolution of accelerometer methods for physical activity research. Br J Sports Med (2014), bjsports--2014.

[74]

Yonatan Vaizman, Katherine Ellis, Gert Lanckriet, and Nadir Weibel. 2018. Extrasensory app: Data collection in-the-wild with rich user interface to self-report behavior. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 554.

Digital Library

[75]

Thomas JL van Rompay, Dorette J Vonk, and Marieke L Fransen. 2009. The eye of the camera: Effects of security cameras on prosocial behavior. Environment and Behavior 41, 1 (2009), 60--74.

[76]

Tatjana Van Strien, Jan ER Frijters, Gerard Bergers, and Peter B Defares. 1986. The Dutch Eating Behavior Questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior. International Journal of Eating Disorders 5, 2 (1986), 295--315.

[77]

Yang Wang, Huichuan Xia, Yaxing Yao, and Yun Huang. 2016. Flying eyes and hidden controllers: A qualitative study of peopleâĂźs privacy perceptions of civilian drones in the US. Proceedings on Privacy Enhancing Technologies 2016, 3 (2016), 172--190.

[78]

Gemma Wilson, Derek Jones, Patricia Schofield, and Denis J Martin. 2016. Experiences of using a wearable camera to record activity, participation and health-related behaviours: Qualitative reflections of using the Sensecam. Digital Health 2 (2016), 1--11.

[79]

Katrin Wolf, Albrecht Schmidt, Agon Bexheti, and Marc Langheinrich. 2014. Lifelogging: You're wearing a camera? IEEE Pervasive Computing 13, 3 (2014), 8--12.

[80]

Shibo Zhang, Rawan Alharbi, Matthew Nicholson, and Nabil Alshurafa. 2017. When Generalized Eating Detection Machine Learning Models Fail in the Field. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (UbiComp '17). ACM, New York, NY, USA, 613--622.

Digital Library

Cited By

Zhang LStangl ASharma TTseng YXu IGurari DWang YFindlater L(2024)Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642713(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642713
Moore JMcMeekin PParkes TWalker RMorris RStuart SHetherington VGodfrey A(2024)Contextualizing remote fall risk: Video data capture and implementing ethical AInpj Digital Medicine10.1038/s41746-024-01050-77:1Online publication date: 6-Mar-2024
https://doi.org/10.1038/s41746-024-01050-7
Nolasco HVargo ABohley NBrinkhaus CKise K(2023)Examining Participant Adherence with Wearables in an In-the-Wild SettingSensors10.3390/s2314647923:14(6479)Online publication date: 18-Jul-2023
https://doi.org/10.3390/s23146479
Show More Cited By

Index Terms

I Can't Be Myself: Effects of Wearable Cameras on the Capture of Authentic Behavior in the Wild
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing
    2. Ubiquitous and mobile computing theory, concepts and paradigms
2. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Social aspects of security and privacy

Recommendations

WillSense: Adherence Barriers for Passive Sensing Systems That Track Eating Behavior
CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Energy balance is one component of weight management, but passive objective measures of caloric intake are non-existent. Given recent success of actigraphy as a passive objective measure of the physical activity construct that relieves participants of ...
Activity-tracking devices for older adults: comparison and preferences

Research demonstrates that physical activity beneficially influences brain function, quality of life and reduces cardiovascular diseases. Therefore, many projects and technical developments aim to promote physical activity. As a result of the "...
Designing Digital Technologies and Safeguards for Improving Activities and Well-Being for Aging in Place
HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design
Abstract
Older adults (65+) are becoming primary users of technologies, including IoTs, wearables and emerging smart systems, especially for aging in place and in daily living activities related to better health and wellness. Research demonstrates some ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 2, Issue 3

September 2018

1536 pages

EISSN:2474-9567

DOI:10.1145/3279953

Issue’s Table of Contents

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2018

Accepted: 01 September 2018

Revised: 01 May 2018

Received: 01 February 2018

Published in IMWUT Volume 2, Issue 3

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

32
Total Citations
View Citations
916
Total Downloads

Downloads (Last 12 months)74
Downloads (Last 6 weeks)8

Reflects downloads up to 01 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Zhang LStangl ASharma TTseng YXu IGurari DWang YFindlater L(2024)Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642713(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642713
Moore JMcMeekin PParkes TWalker RMorris RStuart SHetherington VGodfrey A(2024)Contextualizing remote fall risk: Video data capture and implementing ethical AInpj Digital Medicine10.1038/s41746-024-01050-77:1Online publication date: 6-Mar-2024
https://doi.org/10.1038/s41746-024-01050-7
Nolasco HVargo ABohley NBrinkhaus CKise K(2023)Examining Participant Adherence with Wearables in an In-the-Wild SettingSensors10.3390/s2314647923:14(6479)Online publication date: 18-Jul-2023
https://doi.org/10.3390/s23146479
King ZYu HVaessen TMyin-Germeys ISano A(2023)Towards the Understanding of Receptivity and Affect in EMAs using Physiological based Machine Learning Method: Analysis of Receptivity and Affect (Preprint)JMIR mHealth and uHealth10.2196/46347Online publication date: 8-Feb-2023
https://doi.org/10.2196/46347
Alshurafa NStump TRomano CF. Pfammatter ALin AHester JHedeker DForman ESpring B(2023)Rationale and design of the SenseWhy project: A passive sensing and ecological momentary assessment study on characteristics of overeating episodesDIGITAL HEALTH10.1177/205520762311583149Online publication date: 27-Apr-2023
https://doi.org/10.1177/20552076231158314
Shahi SSen SPedram MAlharbi RGao YKatsaggelos AHester JAlshurafa NMao SWang SFang HGao WZhou G(2023)Detecting Eating, and Social Presence with All Day Wearable RGB-TProceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies10.1145/3580252.3586974(68-79)Online publication date: 21-Jun-2023
https://dl.acm.org/doi/10.1145/3580252.3586974
Alharbi RShahi SCruz SLi LSen SPedram MRomano CHester JKatsaggelos AAlshurafa N(2023)SmokeMonProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694606:4(1-25)Online publication date: 11-Jan-2023
https://dl.acm.org/doi/10.1145/3569460
Fernandes GZhu HPedram MSchauer JShahi SRomano CGergle DAlshurafa N(2023)Is cartoonized life-vlogging the key to increasing adoption of activity-oriented wearable camera systems?Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585812(1-8)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585812
Pedram MFernandes GRomano CWei BSen SHester JAlshurafa N(2023)Experience: Barriers and Opportunities of Wearables for Eating ResearchExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3573841(1-8)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3573841
Zhang SLi YZhang SShahabi FXia SDeng YAlshurafa N(2022)Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on AdvancesSensors10.3390/s2204147622:4(1476)Online publication date: 14-Feb-2022
https://doi.org/10.3390/s22041476
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Issue’s Table of Contents