Abstract
Of all lifelogging tools, activity trackers are probably among the most widely used ones receiving most public attention. However, when used on a long-term basis e.g. for prevention and wellbeing, the devices’ acceptance by the user and its usability become critical issues. In a user study we explored how activity trackers are used and experienced in daily life. We identified critical issues with regard not just to the HCI topics wearability, appearance of the device, and display and interaction, but also to aspects of modeling and describing the measured and presented data. We suggest four guidelines for the design of future activity trackers. Ideally, activity tracking would be fulfilled by a modular concept of building blocks for sensing, interaction and feedback that the user can freely combine, distribute and wear according to personal preferences and situations.
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References
Brooke, J.: SUS - A quick and dirty usability scale. In: Jordan, P.W., Thomas, B., McClelland, I.L., Weerdmeester, B. (eds.) Usability Evaluation in Industry. CRC Press (1996)
Byrne, D., Kelly, L., Jones, G.J.F.: Multiple multimodal mobile devices: Lessons learned from engineering lifelog solutions. In: Handbook of Research on Mobile Software Engineering: Design, Implementation and Emergent Applications (2012)
De Cocker, K.A., De Meyer, J., De Bourdeaudhuij, I.M., Cardon, G.M.: Non-traditional wearing positions of pedometers: Validity and reliability of the omron hj-203-ed pedometer under controlled and free-living conditions. Journal of Science and Medicine in Sport 15(5), 418–424 (2012)
Consolvo, S., Everitt, K., Smith, I., Landay, J.A.: Design requirements for technologies that encourage physical activity. In: Proc. of CHI 2006, pp. 457–466 (2006)
Consolvo, S., McDonald, D.W., Toscos, T., Chen, M.Y., Froehlich, J., Harrison, B., Klasnja, P., LaMarca, A., LeGrand, L., Libby, R., Smith, I., Landay, J.A.: Activity sensing in the wild: A field trial of ubifit garden. In: Proc. of CHI 2008, pp. 1797–1806. ACM (2008)
Fausset, C.B., Mitzner, T.L., Price, C.E., Jones, B.D., Fain, B.W., Rogers, W.A.: Older adults use of and attitudes toward activity monitoring technologies. Proc. of the Human Factors and Ergonomics Society Annual Meeting 57(1), 1683–1687 (2013)
Gemmell, J., Bell, G., Lueder, R., Drucker, S., Wong, C.: Mylifebits: Fulfilling the memex vision. In: Proceedings of the Tenth ACM International Conference on Multimedia, MULTIMEDIA 2002, pp. 235–238. ACM, New York (2002)
Giehoff, C., Wallbaum, T., Rahn, A., Rolf, C., Boerner, R.J., Neitzel, L., Link, I.: Support of dementia patients by home tele monitoring (Unterstützung von Demenz-Betroffenen durch Home-Tele-Monitoring). In: 58. Annual Symposium of the German Society for Medical Informatics, Biometrics and Epidemiology (58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS) e.V.) (2013)
Hodges, S., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., Smyth, G., Kapur, N., Wood, K.: Sensecam: A retrospective memory aid. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 177–193. Springer, Heidelberg (2006)
Joki, A., Burke, J., Estrin, D.: Compaignr: A Framework for Participatory Data Collection on Mobile Phones. Technical report, Centre for Embedded Network Sensing, University of California, Los Angeles (2007)
Khan, D.U., Ananthanarayan, S., Le, A.T., Siek, K.A.: Evaluation of Physical Activity Monitoring Applications for Android. In: UbiComp 2012 Workshop on Evaluating Off- the-Shelf Technologies for Personal Health Monitoring (2012)
Knight, J.F., Baber, C., Schwirtz, A., Bristow, H.W.: The Comfort Assessment of Wearable Computers. In: Proc. of ISWC 2002 (2002)
Li, I., Dey, A.K., Forlizzi, J.: Understanding my data, myself: Supporting self-reflection with ubicomp technologies. In: Proc. of UbiComp 2011, pp. 405–414 (2011)
Meyer, J., Hein, A.: Live Long and Prosper: Potentials of Low-Cost Consumer Devices for the Prevention of Cardiovascular Diseases. J. Med. Internet Res. 2(2) (2013)
Philllips, L.J., Markis, N.: Using the Fitbit Motion Tracker to measure physical activity in residential care/assisted living residents. In: State of the Science Congress on Nursing Research (2012)
Ryoo, D.-W., Bae, C.: Design of The Wearable Gadgets for Life-Log Services based on UTC. IEEE Transactions on Consumer Electronics 53(4), 1477–1482 (2007)
Schmidt, M.D., Blizzard, L.C., Venn, A.J., Cochrane, J.A., Dwyer, T.: Practical considerations when using pedometers to assess physical activity in population studies. Research Quarterly for Exercise and Sport 78(3), 162–170 (2007)
Wilcox, L., Feiner, S.: Evaluating Physical Activity Monitors for Use in Personal Health Research. In: UbiComp 2012 Workshop on Evaluating Off- the-Shelf Technologies for Personal Health Monitoring (2012)
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Meyer, J., Fortmann, J., Wasmann, M., Heuten, W. (2015). Making Lifelogging Usable: Design Guidelines for Activity Trackers. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8936. Springer, Cham. https://doi.org/10.1007/978-3-319-14442-9_39
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DOI: https://doi.org/10.1007/978-3-319-14442-9_39
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