Publication Type

Conference Proceeding Article

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

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://dx.doi.org/10.1145/2462456.2465702

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