Abstract
Technology designed to sense behavior, often neglects to directly incorporate subjective input from (elderly) users. This paper presents experiences in deploying technology that considers the elderly user and their subjective input as a way to enrich sensor data systems and empower the user. For this purpose, the paper draws on: (1) Observations of shortcomings in terms of capturing objective data from sensors as experienced in long-term deployments in the homes of older adults; (2) The design and evaluation of a wide range of applications especially designed to enable older adults to give subjective input on how they are doing, including an interactive television quiz, a talking picture frame and a tangible mood board, and (3) The development and field study of one application, the ‘Mood button’ in particular, that was tested in real-world sensing settings to work with a commercial sensing system. In doing this, this work aims to contribute towards successful sensing deployments and tools that give more control to the (elderly) end-user.
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References
Chen, L., Hoey, J., Nugent, C., Cook, D.: Sensor-based activity recognition. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 42, 790–808 (2012)
Crabtree, A.: Wild Sociology: Ethnography and Design. Sociology Department, Lancaster University (2001)
Storz, O., Friday, A., Davies, N., Finney, J., Sas, C., Sheridan, J.: Public ubiquitous computing systems: lessons from the e-campus display deployments. IEEE Pervasive Comput. 5, 40–47 (2006)
Tilak, S.: Real-World deployments of participatory sensing applications: current trends and future directions. ISRN Sens. Netw. 2013, 8 (2013)
Groen, M., Meys, W., Veenstra, M.: Creating smart information services for tourists by means of dynamic open data. In: Proceedings of Ubicomp 2013. ACM, Zurich (2013)
Rantz, M., Skubic, M., Miller, S.: Using sensor technology to augment traditional healthcare. In: Proceedings of Engineering in Medicine and Biology Society 2009, pp. 6159–6162. IEEE, Minneapolis (2009)
Froehlich, J., Kay, M., Larsen, J.E., Thomaz, E.: Workshop on Disasters in personal informatics: the unpublished stories of failure and lessons learned. In: Proceedings of Ubicomp 2014, Seattle, USA (2014)
Kanis, M., Robben, S., Hagen, J., Bimmerman, A., Wagelaar, N., Kröse, B.: Sensor monitoring in the home: giving voice to elderly people. In: Proceedings of Pervasive Health, pp. 97–100. IEEE, Venice (2013)
Weiser, M.: The computer for the 21st century. Sci. Am. 265, 94–104 (1991)
Abowd, G., Mynatt, E.: Charting past, present, and future research in ubiquitous computing. ACM Trans. Comput. Hum. Interact. (TOCHI) 7, 29–58 (2000)
Arnall, T.: No to NoUI (2013). http://www.elasticspace.com/writing
Dey, A., Ljungstrand, P., Schmidt, A.: Distributed and disappearing user interfaces in ubiquitous computing. In: CHI 2001 Extended Abstracts. ACM, Seattle, Washington (2001)
Consumer Panel Ofcom: Older people and communications technology: An attitudinal study into older people and their engagement with communications technology (2006)
Smith, A., Brenner, J.: Twitter Use 2012. Technical report. Pew Research Institute (2012)
Eriksson, M., Niitamo, V., Kulkki, S.: State-of-the-Art in Utilizing Living Labs Approach to User-Centric ICT Innovation – A European Approach. Lulea University of Technology, Lulea (2005)
Pol, M., van Nes, F., van Hartingsveldt, M., Buurman, B., de Rooij, S., Kröse, B.: Older people’s perspectives regarding the use of sensor monitoring in their home. Gerontologist Gerontol. Soc. Am. 5, 180–181 (2014)
Gravenhorst, F., Muaremi, A., Bardram, J., Grünerbl, A., Mayora, O., Wurzer, G., Frost, M., Osmani, V., Arnrich, B., Lukowicz, P., Tröster, G.: Mobile phones as medical devices in mental disorder treatment: an overview. Pers. Ubiquit. Comput. 19, 335–353 (2015)
Kanis, M., Brinkman, W.-P., Perry, M.: Designing for positive disclosure: What do you like today? Int. J. Ind. Ergon. 39, 564–572 (2009)
Smyth, J.M.: Written emotional expression: effect sizes, outcome types, and moderating variables. J. Consul. Clin. Psychol. 66, 174–184 (1998)
Frisina, P., Borod, J., Lepore, S.: A meta-analysis of the effects of written emotional disclosure on the health outcomes of clinical populations. J. Nerv. Mental Dis. 192, 629–634 (2004)
Stojmenova, E., Debevc, M., Zebec, L., Imper, B.: Assisted living solutions for the elderly through interactive TV. Multimedia Tools Appl. 66, 115–129 (2013)
Mynatt, E.D., Rowan, J., Jacobs, A., Craighill, S.: Digital family portraits: Supporting peace of mind for extended family members. In: Proceedings of CHI 2001, pp. 333–340. ACM (2001)
Dibeklioğlu, H., Hortas, M.O., Kosunen, I., Zuzánek, P., Salah, A.A., Gevers, T.: Design and implementation of an affect-responsive interactive photo frame. J. Multimodal User Interfaces 4, 81–95 (2011)
Broekens, J., Brinkman, W.-P.: AffectButton: towards a standard for dynamic affective user feedback. In: Affective Computing and Intelligent Interaction (ACII) (2009)
Lee, A.C.K., Tang, S.W., Yu, G.K.K., Cheung, R.T.F.: The smiley as a simple screening tool for depression after stroke: a preliminary study. Int. J. Nurs. Stud. 45, 1081–1089 (2008)
Van der Geest, T.: Conducting usability studies with users who are elderly or have disabilities. Tech. Commun. 53, 23–31 (2006)
Acknowledgments
We thank our study participants, collaborators and colleagues, particularly Frank Kloos for their valuable contributions to this work. We thank the students from Communication and Media Design, particularly Mark Jongkind, Ron Geertsma & Marcel Stommel, and also acknowledge Patrick Post & Andranik Matshkalyan, and Amber Mollee & Rossy Lazarov for their involvement in the development and evaluation of the prototypes. This research was supported by the Blarickhof foundation, Agentschap NL (project Health-lab) and SIA (Smart Systems for Smart Services program). This research is also supported by ZonMW (EU-AAL project Care 4 Balance), COMMIT/ (VIEWW project) and HvA’s Urban Vitality program.
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Kanis, M., Robben, S., Kröse, B. (2015). How Are You Doing? Enabling Older Adults to Enrich Sensor Data with Subjective Input. In: Salah, A., Kröse, B., Cook, D. (eds) Human Behavior Understanding. Lecture Notes in Computer Science(), vol 9277. Springer, Cham. https://doi.org/10.1007/978-3-319-24195-1_4
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DOI: https://doi.org/10.1007/978-3-319-24195-1_4
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