FAIM: integrating automated facial affect analysis in instant messaging

Authors:
Rana El Kaliouby;Peter Robinson
Affiliations:
University of Cambridge, Cambridge, UK;University of Cambridge, Cambridge, UK
Venue:
Proceedings of the 9th international conference on Intelligent user interfaces
Year:
2004

Citing 3
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Abstract

One of the limitations in traditional instant messaging platforms is that they predominantly rely on text messages as the primary form of expression. This paper presents FAIM, an instant messaging application that analyzes a person's facial affect in real time and augments the dialogue with an emotive character representing them. Throughout the paper, we identify a number of design challenges that arise from integrating facial affect into instant messaging, and discuss how each of these issues is addressed in the design of FAIM. We also present a use case scenario of how FAIM works.