Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2013
Abstract
In this demo, we introduce SocioPhone, a novel initiative toward everyday face-to-face interaction monitoring platform. Among diverse verbal, aural, visual cues expressed during face-to-face interaction, SocioPhone captures diverse meta-linguistic information from conversations and provides interaction-aware applications on-the-fly. Undoubtedly, conversations are a key channel for face-to-face interaction. Specifically, monitoring conversational turns, i.e., alternation of different speakers (including none speaking), is the first crucial step to derive diverse interesting aspects of conversations, e.g., who is talking right now, how long and often one talks, how quickly one responds to another, and so on. In this demo, we will show the core technique of SocioPhone, volume topography-based turn monitoring, which is highly accurate and energy-efficient under diverse real-life situations. In addition, we will demonstrate several example applications running on SocioPhone.
Keywords
Interaction, Conversation, Social, Platform, Volume Topography
Discipline
Computer Sciences | 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): June 25-28, 2013, Taipei
First Page
499
Last Page
500
ISBN
9781450316729
Identifier
10.1145/2462456.2465702
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.
Demo: 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): June 25-28, 2013, Taipei. 499-500.
Available at: https://ink.library.smu.edu.sg/sis_research/3292
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/10.1145/2462456.2465702