DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Youngki | ko |
dc.contributor.author | Min, Chulhong | ko |
dc.contributor.author | Hwang, Chanyou | ko |
dc.contributor.author | Lee, Jaeung | ko |
dc.contributor.author | Hwang, Inseok | ko |
dc.contributor.author | Ju, Younghyun | ko |
dc.contributor.author | Yoo, Chungkuk | ko |
dc.contributor.author | Moon, Miri | ko |
dc.contributor.author | Lee, Uichin | ko |
dc.contributor.author | Song, Junehwa | ko |
dc.date.accessioned | 2019-04-15T20:12:19Z | - |
dc.date.available | 2019-04-15T20:12:19Z | - |
dc.date.created | 2013-06-19 | - |
dc.date.created | 2013-06-19 | - |
dc.date.created | 2013-06-19 | - |
dc.date.created | 2013-06-19 | - |
dc.date.created | 2013-06-19 | - |
dc.date.created | 2013-06-19 | - |
dc.date.issued | 2013-06-28 | - |
dc.identifier.citation | The 11th International Conference on Mobile Systems, Applications and Services, pp.375 - 388 | - |
dc.identifier.uri | http://hdl.handle.net/10203/257981 | - |
dc.description.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 turnmonitoring technique is highly accurate and energy-efficient under diverse real-life situations. | - |
dc.language | English | - |
dc.publisher | ACM Special Interest Group on Mobility of Systems, Users, Data and Computing (SIGMOBILE) | - |
dc.title | Demo-SocioPhone: Everyday face-to-face interaction monitoring platform using multi-phone sensor fusion | - |
dc.type | Conference | - |
dc.identifier.scopusid | 2-s2.0-84881158250 | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 375 | - |
dc.citation.endingpage | 388 | - |
dc.citation.publicationname | The 11th International Conference on Mobile Systems, Applications and Services | - |
dc.identifier.conferencecountry | CH | - |
dc.identifier.conferencelocation | Taipei | - |
dc.identifier.doi | 10.1145/2462456.2465426 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Lee, Uichin | - |
dc.contributor.localauthor | Song, Junehwa | - |
dc.contributor.nonIdAuthor | Lee, Youngki | - |
dc.contributor.nonIdAuthor | Min, Chulhong | - |
dc.contributor.nonIdAuthor | Hwang, Chanyou | - |
dc.contributor.nonIdAuthor | Lee, Jaeung | - |
dc.contributor.nonIdAuthor | Hwang, Inseok | - |
dc.contributor.nonIdAuthor | Ju, Younghyun | - |
dc.contributor.nonIdAuthor | Yoo, Chungkuk | - |
dc.contributor.nonIdAuthor | Moon, Miri | - |
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