BeUpright

Abstract

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.

Design of Sitting Posture Correction Desk-chair Product Based on Fogg’s Behavior Model

“…However, due to users' lack of understanding of the relevant scientific theories of posture correction, the establishment of user needs is unreasonable and lacks guiding value for the design of posture correction products. Shin, J. et al [11] proposed the "Relational Norm Intervention model" (RNI) for changing user behavior and designed a mobile application based on this model to correct users' sitting posture. This design research enhances users' participation and action by guiding their behavior, which helps greatly to enhance the effect of posture correction.…”

MIAC: um modelo para autoria de intervenção apoiada por colaboração via dispositivos móveis

“…Os sensores são monitorados por um sistema que, ao identificar situação de risco, dispara um alarme para a equipe supervisora intervir e evitar a queda. Shin et al (2016) apresentam um modelo relacional de intervenção para promover mudança de comportamento. Trata-se de um sistema genérico que se fundamenta em três entidades: um usuário-alvo (que precisa mudar o comportamento), um usuário ajudante (de apoio à mudança desejada) e um aplicativo móvel.…”