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Jaemyung Shin

dblp:134/3182 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2016
0000-0002-5894-0498ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Health and well-being technologies · 57% Collaborative and social computing · 37% Ubiquitous computing and smart environments · 5%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies › rehabilitation › physical therapy
posture correction
0.522016
BeUpright: Posture Correction Using Relational Norm Intervention · CHI 2016
Demo: Posture Correction Using Smartphone-Based Relational Intervention Model · SenSys 2015
Health and well-being technologies
behavior change
0.212016
BeUpright: Posture Correction Using Relational Norm Intervention · CHI 2016
Collaborative and social computing
social support
0.212016
BeUpright: Posture Correction Using Relational Norm Intervention · CHI 2016

Methods — techniques the papers use, named apart from their topics

two-week study · 0.2design workshop · 0.2relational intervention model · 0.2
YearPublicationVenuePosition
2016 BeUpright: Posture Correction Using Relational Norm Intervention
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.
Jaemyung Shin, Bumsoo Kang, Taiwoo Park, Jina Huh, Jinhan Kim, Junehwa Song
CHI1
2015 Demo: Posture Correction Using Smartphone-Based Relational Intervention Model
abstract
Many theories and empirical research show the critical role of social relationships in shaping human behavior. Mobile and persuasive technologies present increased opportunities for affecting people's behavior. We propose the relational intervention model, which provokes a paired helper when the user performs a target behavior. In this demo, we present BeUpright, a posture-correction mobile application based on the relational intervention model.
Jaemyung Shin, Bumsoo Kang, Jinhan Kim, Jina Huh, Junehwa Song, Taiwoo Park
SenSys1