skip to main content
10.1145/2935334.2935340acmconferencesArticle/Chapter ViewAbstractPublication PagesmobilehciConference Proceedingsconference-collections
research-article

Wearable ESM: differences in the experience sampling method across wearable devices

Published:06 September 2016Publication History

ABSTRACT

The Experience Sampling Method is widely used for collecting self-report responses from people in natural settings. While most traditional approaches rely on using a phone to trigger prompts and record information, wearable devices now offer new opportunities that may improve this method. This research quantitatively and qualitatively studies the experience sampling process on head-worn and wrist-worn wearable devices, and compares them to the traditional "smartphone in the pocket." To enable this work, we designed and implemented a custom application to provide similar prompts across the three types of devices and evaluated it with 15 individuals for five days (75 days total), in the context of real-life stress measurement. We found significant differences in response times across devices, and captured tradeoffs in interaction types, screen size, and device familiarity that can affect both users' experience and the reports made by users.

References

  1. Phil Adams, Mashfiqui Rabbi, Tauhidur Rahman, et al. 2014. Towards Personal Stress Informatics: Comparing Minimally Invasive Techniques for Measuring Daily Stress in the Wild. Proceedings of International Conference on Pervasive Computing Technologies for Healthcare, 72--79. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Yadid Ayzenberg, Javier Hernandez, and Rosalind W. Picard. 2012. FEEL: frequent EDA and event logging - a mobile social interaction stress monitoring system. Extended Abstracts of Human Factors in Computing Systems, 2357--2362. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Arnold B. Bakker and Evangelia Demerouti. 2007. The Job Demands-Resources model: state of the art. Journal of Managerial Psychology 22, 3: 309--328.Google ScholarGoogle ScholarCross RefCross Ref
  4. Daniel J. Beal. 2015. ESM 2.0: State of the Art Of, Future Potential Sampling, Experience Organizational, Methods in Research. The Annual Review of Organizational Psychology and Organizational Behavior, 383--407.Google ScholarGoogle Scholar
  5. Elliot T. Berkman, Nicole R. Giuliani, and Alicia K. Pruitt. 2014. Comparison of text messaging and paper-and-pencil for ecological momentary assessment of food craving and intake. Appetite 81: 131--137.Google ScholarGoogle ScholarCross RefCross Ref
  6. Niall Bolger, Angelina Davis, and Eshkol Rafaeli. 2003. Diary methods: capturing life as it is lived. Annual Review of Psychology 54: 579--616.Google ScholarGoogle ScholarCross RefCross Ref
  7. Chris. J. Burgin, Paul J. Silvia, Kari M. Eddington, and Thomas R. Kwapil. 2012. Palm or Cell? Comparing Personal Digital Assistants and Cell Phones for Experience Sampling Research. Social Science Computer Review 31, 2: 244--251. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Karen Church, Mauro Cherubini, and Nuria Oliver. 2014. A large-scale study of daily information needs captured in situ. ACM Transactions on Computer-Human Interaction 21, 2: 1--46. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Tamlin S. Conner, Howard Tennen, William Fleeson, and Lisa Feldman Barrett. 2009. Experience Sampling Methods: A Modern Idiographic Approach to Personality Research. Social and Personality Psychology Compass 3, 3: 292--313.Google ScholarGoogle ScholarCross RefCross Ref
  10. Tamlin S. Conner. 2015. Experience sampling and ecological momentary assessment with mobile phones, http://www.otago.ac.nz/psychology/otago047475.pdfGoogle ScholarGoogle Scholar
  11. Sunny Consolvo and Miriam Walker. 2003. Using the experience sampling method to evaluate Ubicomp applications. IEEE Pervasive Computing 2, 2: 24--31. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Mihaly Csikszentmihalyi, Reed Larson, and Suzanne Prescott. 1977. The ecology of adolescent activity and experience. Journal of Youth and Adolescence 6, 3: 281--294.Google ScholarGoogle ScholarCross RefCross Ref
  13. Evangelia Demerouti, Arnold B. Bakker, Friedhelm Nachreiner, and Wilmar B. Schaufeli. 2001. The job demands-resources model of burnout. Journal of Applied Psychology 86, 3: 499--512.Google ScholarGoogle ScholarCross RefCross Ref
  14. Jon Froehlich, Mike Y. Chen, Sunny Consolvo, Beverly Harrison, and James A. Landay. 2007. MyExperience: A System for In situ Tracing and Capturing of User Feedback on Mobile Phones. Proceedings of Mobile Systems, Applications and Services, 57--70. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Joel M. Hektner, Jennifer A. Schmidt, and Mihaly Csikszentmihalyi. 2007. Experience Sampling Method: Measuring the Quality of Everyday Life. SAGE Publications.Google ScholarGoogle Scholar
  16. Grace Hu, Lily Chen, Johanna Okerlund, and Orit Shaer. 2015. Exploring the Use of Google Glass in Wet Laboratories. Proceedings of Extended Abstracts on Human Factors in Computing Systems, 2103--2108. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Daniel Kahneman, Alan B. Krueger, David A. Schkade, Norbert Schwarz, and Arthur A. Stone. 2004. A survey method for characterizing daily life experience: the day reconstruction method. Science (New York) 306, 5702: 1776--1780.Google ScholarGoogle Scholar
  18. Vassilis-Javed Khan, Panos Markopoulos, Berry Eggen, Wijnand IJsselsteijn, and Boris de Ruyter. 2008. Reconexp: a way to reduce the data loss of the experiencing sampling method. Proceedings on Human Computer Interaction with Mobile Devices and Services, 471--476. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Reed Larson and Mihaly Csikszentmihalyi. 1983. The Experience Sampling Method. New Directions for Methodology of Social & Behavioral Science 15: 41--56.Google ScholarGoogle Scholar
  20. James A. Russell. 1980. A Circumplex model of affect. Journal of Personality and Social Psychology 39, 6: 1161--1178.Google ScholarGoogle ScholarCross RefCross Ref
  21. Philipp M. Scholl, Marko Borazio, Martin Jansch, and Kristof Van Laerhoven. 2014. Diary-Like Long-Term Activity Recognition: Touch or Voice Interaction? International Conference on Wearable and Implantable Body Sensor Networks Workshops, 42--45. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Saul Shiffman, Arthur A. Stone, and Michael R. Hufford. 2008. Ecological momentary assessment. Annual Review of Clinical Psychology 4: 1--32.Google ScholarGoogle ScholarCross RefCross Ref
  23. Janko Timmermann, Wilko Heuten, and Susanne Boll. 2015. Input Methods for the Borg-RPE-Scale on Smartwatches. International Conference on Pervasive Computing Technologies for Healthcare, 80--83. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Wearable ESM: differences in the experience sampling method across wearable devices

    Recommendations

    Comments

    Login options

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

    Sign in
    • Published in

      cover image ACM Conferences
      MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services
      September 2016
      567 pages
      ISBN:9781450344081
      DOI:10.1145/2935334

      Copyright © 2016 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 ACM 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: 6 September 2016

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      Overall Acceptance Rate202of906submissions,22%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader