Abstract
The current development of telemedicine and m-health services has changed the way in which individuals monitor their health information. These services offer the possibility to receive and consult health data through computers or mobile devices at home, without medical support at any time. Could this new way of approaching our health data have an impact on our psychophysiological state? This study investigated with an experiment individual reactions to health data visualization on an interface. These reactions were investigated in terms of perceived emotion and stress, behavior and physiological changes (cardiac and electrodermal activities). This study compared individual responses to the visualization of different types of data: health data of the user, health data of another person and weather data. The statistical analysis was performed, based on ultra-short-term features for the physiological responses. The results confirmed that the visualization of personal health data entails the most important responses in terms of perceived stress, duration of data visualization and heart rate variability. Therefore, this study suggests that the conception of health interfaces would require particular attention concerning their content, their design, and their accessibility, in order to limit stress elicited by remote health data consultation.
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References
Tuckson, R.V., Edmunds, M., Hodgkins, M.L.: Telehealth. N. Engl. J. Med. 377, 1585–1592 (2017)
Grigsby, J., Rigby, M., Hiemstra, A., House, M., Olsson, S., Whitten, P.: Chapter 7: The diffusion of telemedicine. Telemed. J. E Health 8, 79–94 (2002)
World Health Organization: mHealth: New Horizons for Health Through Mobile Technologies. World Health Organization, Geneva (2011)
Lupton, D.: Self-tracking, health and medicine. Health Sociol. Rev. 26, 1–5 (2017)
Genaro Motti, V., Caine, K.: An overview of wearable applications for healthcare: requirements and challenges. In: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, pp. 635–641. Association for Computing Machinery, Osaka (2015)
Brave, S., Nass, C.: Emotion in human-computer interaction. In: Sears, A., Jacko, J.A. (eds.) The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications, pp. 103–118. CRC Press, Boca Raton (2007)
Lottridge, D., Chignell, M., Jovicic, A.: Affective interaction: understanding, evaluating, and designing for human emotion. Rev. Hum. Factors Ergon. 7, 197–217 (2011)
Tiberio, L., Cesta, A., Olivetti Belardinelli, M.: Psychophysiological methods to evaluate user’s response in human robot interaction: a review and feasibility study. Robotics 2, 92–121 (2013)
Prendinger, H., Becker, C., Ishizuka, M.: A study in user’s physio logical response to an empathic interface agent. Int. J. Humanoid Robot. 3, 371–391 (2006)
Van Reekum, C., Johnstone, T., Banse, R., Etter, A., Wehrle, T., Scherer, K.: Psychophys-iological responses to appraisal dimensions in a computer game. Cogn. Emot. 18, 663–668 (2004)
Ward, R.D., Marsden, P.H., Cahill, B., Johnson, C.: Physiological responses to well-designed and poorly designed interfaces. In: Proceedings of CHI 2002 Workshop on Physiological Computing (2002)
Lockner, D., Bonnardel, N., Bouchard, C., Rieuf, V.: Emotion and interface design. In: Proceedings of the 2014 Ergonomie et Informatique Avancée Conference-Design, Ergonomie et IHM: quelle articulation pour la co-conception de l’interaction, pp. 33–40 (2014)
Fang, Y.-M., Chou, Y.-P., Chu, B.-C.: Health information display for elderly people: interface attributes, usability, and emotional reaction. In: 2016 International Conference on Applied System Innovation (ICASI), pp. 1–4 (2016)
Ellsworth, P.C., Scherer, K.R.: Appraisal processes in emotion. In: Handbook of Affective Sciences, pp. 572–595. Oxford University Press, New York (2003)
Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39, 1161–1178 (1980)
Lazarus, R.S.: Stress and Emotion: A New Synthesis. Springer, New York (2006)
Bradley, M.M., Lang, P.J.: Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 25, 49–59 (1994)
Park, B.: Psychophysiology as a tool for HCI research: promises and pitfalls. In: Jacko, J.A. (ed.) HCI 2009. LNCS, vol. 5610, pp. 141–148. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02574-7_16
Dirican, A.C., Göktürk, M.: Psychophysiological measures of human cognitive states applied in human computer interaction. Procedia Comput. Sci. 3, 1361–1367 (2011)
Shaffer, F., Ginsberg, J.P.: An overview of heart rate variability metrics and norms. Front. Public Health 5, 258 (2017)
Schaaff, K., Adam, M.T.P.: Measuring emotional arousal for online applications: evaluation of ultra-short term heart rate variability measures. In: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, pp. 362–368 (2013)
Salahuddin, L., Cho, J., Jeong, M.G., Kim, D.: Ultra short term analysis of heart rate variability for monitoring mental stress in mobile settings. In: 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 4656–4659. IEEE (2007)
Salkovskis, P.M., Rimes, K.A., Warwick, H.M.C., Clark, D.M.: The health anxiety inventory: development and validation of scales for the measurement of health anxiety and hypochondriasis. Psychol. Med. 32, 843–853 (2002)
Marteau, T.M., Bekker, H.: The development of a six-item short-form of the state scale of the Spielberger State-Trait Anxiety Inventory (STAI). Br. J. Clin. Psychol. 31, 301–306 (1992)
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Lourdais, C., Poirson, E., Ma, L. (2020). Emotional Responses to Health Data Visualization. In: Kurosu, M. (eds) Human-Computer Interaction. Human Values and Quality of Life. HCII 2020. Lecture Notes in Computer Science(), vol 12183. Springer, Cham. https://doi.org/10.1007/978-3-030-49065-2_5
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