Mylonopoulou V., Väyrynen K., Stibe A., Isomursu M. (2018) Rationale Behind Socially Influencing Design Choices for Health Behavior Change. In: Ham J., Karapanos E., Morita P., Burns C. (eds) Persuasive Technology. PERSUASIVE 2018. Lecture Notes in Computer Science, vol 10809. Springer, Cham
Rationale behind socially influencing design choices for health behavior change
|Author:||Mylonopoulou, Vasiliki1; Väyrynen, Karin1; Stibe, Agnis2;|
1University of Oulu, Pentti Kaiteran Katu 1, 90014 Oulu, Finland
2Paris ESLSCA Business School, 1 Rue Bougainville, 75007 Paris, France
3IT University of Copenhagen, Rued Langgaards Vej 7, 2300 København S, Denmark
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe201804176563
|Publish Date:|| 2019-04-03
Persuasive technologies for health behavior change often include social influence features. Social influence in the design of persuasive technology has been described as a black box. This case study sheds light on design practices by identifying factors that affect the design of social influence features in health behavior change applications and the designers’ understanding of the social influence aspects. Our findings are twofold: First, the two most positively inclined social influence features, namely cooperation and normative influence, were missing from the reviewed applications. Second, the medical condition - the persuasive technology targets - has a major influence on consideration and integration of social influence features in health behavior change applications. Our findings should be taken into account when frameworks and guidelines are created for the design of social influence features in health behavior change applications.
Lecture notes in computer science
|Pages:||147 - 159|
13th International Conference, PERSUASIVE 2018, Waterloo, ON, Canada, April 18-19, 2018, Proceedings
|Host publication editor:||
Burns, C. M.
13th International Conference, PERSUASIVE 2018, Waterloo, ON, Canada, April 18-19, 2018
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
This publication has received funding from the European Union’s Horizon 2020 research and innovation programme - Marie Sklodowska-Curie Actions grant agreement no. 676201 - CHESS - Connected Health Early Stage Researcher Support System.
|EU Grant Number:||
(676201) CHESS - Connected Health Early Stage Researcher Support System
© Springer International Publishing AG, part of Springer Nature 2018.