Talktraces

Real-time capture and visualization of verbal content in meetings

Conference paper (2019)

Authors

R.S.K. Chandrasegaran University of California
Chris Bryan Arizona State University
Hidekazu Shidara University of California
Tung Yen Chuang University of California
Kwan Liu Ma University of California
Affiliation
External organisation
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Published Date

2019

Language

English

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Affiliation

External organisation

Abstract

Group Support Systems provide ways to review and edit shared content during meetings, but typically require participants to explicitly generate the content. Recent advances in speech-to-text conversion and language processing now make it possible to automatically record and review spoken information. We present the iterative design and evaluation of TalkTraces, a real-time visualization that helps teams identify themes in their discussions and obtain a sense of agenda items covered. We use topic modeling to identify themes within the discussions and word embeddings to compute the discussion “relatedness” to items in the meeting agenda. We evaluate TalkTraces iteratively: we first conduct a comparative between-groups study between two teams using TalkTraces and two teams using traditional notes, over four sessions. We translate the findings into changes in the interface, further evaluated by one team over four sessions. Based on our findings, we discuss design implications for real-time displays of discussion content.