TY - GEN
T1 - Beupright
T2 - 34th Annual Conference on Human Factors in Computing Systems, CHI 2016
AU - Shin, Jaemyung
AU - Huh, Jina
AU - Kang, Bumsoo
AU - Kim, Jinhan
AU - Park, Taiwoo
AU - Song, Junewha
PY - 2016/5/7
Y1 - 2016/5/7
N2 - Research shows the critical role of social relationships in behavior change, and the advancement of mobile technologies brings new opportunities of using online social support for persuasive applications. In this paper, we propose Relational Norm Intervention (RNI) model for behavior change, which involves two individuals as a target user and a helper respectively. RNI model uses Negative Reinforcement and Other-Regarding Preferences as motivating factors for behavior change. The model features the passive participation of a helper who will undergo artificially generated discomforts (e.g., limited access to a mobile device) when a target user performs against a target behavior. Based on in-depth discussions from a two-phase design workshop, we designed and implemented BeUpright, a mobile application employing RNI model to correct sitting posture of a target user. Also, we conducted a two-week study to evaluate the effectiveness and user experience of BeUpright. The study showed that RNI model has a potential to increase efficacy, in terms of behavior change, compared to conventional notification approaches. The most influential factor of RNI model in the changing the behavior of target users was the intention to avoid discomforting their helpers. RNI model also showed a potential to help unmotivated individuals in behavior change. We discuss the mechanism of RNI model in relation to prior literature on behavior change and implications of exploiting discomfort in mobile behavior change services.
AB - Research shows the critical role of social relationships in behavior change, and the advancement of mobile technologies brings new opportunities of using online social support for persuasive applications. In this paper, we propose Relational Norm Intervention (RNI) model for behavior change, which involves two individuals as a target user and a helper respectively. RNI model uses Negative Reinforcement and Other-Regarding Preferences as motivating factors for behavior change. The model features the passive participation of a helper who will undergo artificially generated discomforts (e.g., limited access to a mobile device) when a target user performs against a target behavior. Based on in-depth discussions from a two-phase design workshop, we designed and implemented BeUpright, a mobile application employing RNI model to correct sitting posture of a target user. Also, we conducted a two-week study to evaluate the effectiveness and user experience of BeUpright. The study showed that RNI model has a potential to increase efficacy, in terms of behavior change, compared to conventional notification approaches. The most influential factor of RNI model in the changing the behavior of target users was the intention to avoid discomforting their helpers. RNI model also showed a potential to help unmotivated individuals in behavior change. We discuss the mechanism of RNI model in relation to prior literature on behavior change and implications of exploiting discomfort in mobile behavior change services.
KW - Behavior change
KW - Negative Reinforcement
KW - Other-regarding preferences
KW - Posture correction
KW - Relational norm intervention
KW - Social persuasion
UR - http://www.scopus.com/inward/record.url?scp=85014736048&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85014736048&partnerID=8YFLogxK
U2 - 10.1145/2858036.2858561
DO - 10.1145/2858036.2858561
M3 - Conference contribution
AN - SCOPUS:85014736048
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 6040
EP - 6052
BT - CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems
Y2 - 7 May 2016 through 12 May 2016
ER -