Paper Reading 22: Social signal processing: detecting small group interaction in leisure activity

Reference:

Title: Social Signal Processing: Detecting Small Group Interaction in Leisure Activity
Names of authors: Eyal Dim, Tsvi Kuflik
Presentation venue: IUI '10 Proceedings of the 15th international conference on Intelligent user interfaces

Summary:

Social Signal Processing of small groups enables detection of their social context. Monitoring of the social context may be based on position proximity (as a pre-condition for conversation), and on voice communication (an evidence for interaction). Understanding of the social context of a
group may allow a system to intervene at the right moment and to suggest relevant services/information. This, in turn, may enhance the group members’ experience during leisure
activity. This study focuses on assessing the possibility of automatic detection of intra group interaction in a museum environment. It presents analysis and tools that intend to set the foundation for computer aided group interaction during leisure activities.

Discussion:

This tool can be used to study group interactions, group behavior of people and the crowd mentality. It can be used to differentiate in the behavior of people when they are present in a group. Understanding group behavior is very important for marketing of products. People can study the group interactions during various activities like conferences, sports or leisure activities.