Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2013
Abstract
In this paper, we propose SocioPhone, a novel initiative to build a mobile platform for face-to-face interaction monitoring. Face-to-face interaction, especially conversation, is a fundamental part of everyday life. Interaction-aware applications aimed at facilitating group conversations have been proposed, but have not proliferated yet. Useful contexts to capture and support face-to-face interactions need to be explored more deeply. More important, recognizing delicate conversational contexts with commodity mobile devices requires solving a number of technical challenges. As a first step to address such challenges, we identify useful meta-linguistic contexts of conversation, such as turn-takings, prosodic features, a dominant participant, and pace. These serve as cornerstones for building a variety of interaction-aware applications. SocioPhone abstracts such useful meta-linguistic contexts as a set of intuitive APIs. Its runtime efficiently monitors registered contexts during in-progress conversations and notifies applications on-the-fly. Importantly, we have noticed that online turn monitoring is the basic building block for extracting diverse meta-linguistic contexts, and have devised a novel volume-topography-based method. We show the usefulness of SocioPhone with several interesting applications: SocioTherapist, SocioDigest, and Tug-of-War. Also, we show that our turn-monitoring technique is highly accurate and energy-efficient under diverse real-life situations.
Keywords
Conversation, Interaction, Platform, Social, Volume Topography
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
MobiSys '13: Proceeding of the 11th International Conference on Mobile Systems, Applications, and Services (MobiSys)
First Page
375
Last Page
388
ISBN
9781450316729
Identifier
10.1145/2462456.2465426
Publisher
ACM
City or Country
New York
Citation
LEE, Youngki; MIN, Chulhong; HWANG, Chanyou; LEE, Jaeung; HWANG, Inseok; JU, Younghyun; YOO, Chungkuk; MOON, Miri; LEE, Uichin; and SONG, Junehwa.
SocioPhone: Everyday Face-to-Face Interaction Monitoring Platform Using Multi-Phone Sensor Fusion. (2013). MobiSys '13: Proceeding of the 11th International Conference on Mobile Systems, Applications, and Services (MobiSys). 375-388.
Available at: https://ink.library.smu.edu.sg/sis_research/2064
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://dx.doi.org/10.1145/2462456.2465426