COACH: a teaching agent that learns
Communications of the ACM
Social translucence: an approach to designing systems that support social processes
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
How to Do the Right Thing
Out of Sight, Out of Sync: Understanding Conflict in Distributed Teams
Organization Science
Meeting central: making distributed meetings more effective
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Influencing group participation with a shared display
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Changing small group interaction through visual reflections of social behavior
Changing small group interaction through visual reflections of social behavior
Pro-active meeting assistants: attention please!
AI & Society - Special Issue: Social intelligence design: a junction between engineering and social sciences
Earcons and icons: their structure and common design principles
Human-Computer Interaction
Social signal processing: state-of-the-art and future perspectives of an emerging domain
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Meeting mediator: enhancing group collaborationusing sociometric feedback
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Human-Computer Interaction
The RavenClaw dialog management framework: Architecture and systems
Computer Speech and Language
Facilitating multiparty dialog with gaze, gesture, and speech
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Abbrevicons: efficient feedback for audio interfaces
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
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This paper introduces CAMEO, a behavior-driven design approach to address commonly occurring technical and social problems in audio-only teleconference calls. Many of these problems are associated with the missing visual channel and the low bandwidth for non-verbal signals. CAMEO seeks not only to sense these problems, but also to frame and respond to them in considerate ways. These include scheduling of advisory prompts, and assistive mechanisms to augment this bandwidth-constrained medium. This paper describes their implementation in CAMEO using a blackboard architecture that shapes and define its behavior. Two experiments were conducted to evaluate CAMEO on its resolution of conversational dominance in a collaborative meeting, and its utility in reducing the effects of disruptive extraneous noise on a conference call. We show that variance in conversational dominance can significantly be reduced with proactive aural feedback. Our experiments further reveal that such feedback can also reduce the impact of extraneous noise on conversations.