Demo: SocioPhone: Everyday face-to-face interaction monitoring platform using multi-phone sensor fusion

• Main Authors: LEE, Youngki, MIN, Chulhong, HWANG, Chanyou, LEE, Jaeung, HWANG, Inseok, JU, Younghyun, YOO, Chungkuk, MOON, Miri, LEE, Uichin, SONG, Junehwa
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Interaction; Conversation; Social; Platform; Volume Topography; Computer Sciences; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3292; https://ink.library.smu.edu.sg/context/sis_research/article/4294/viewcontent/demo_sociophone.pdf
• Institution: Singapore Management University

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.