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• W2906598169 abstract "Groups come in various sizes and can range from a social setting with multiple smaller groups to a business meeting. Each group type has multiple kinds of interaction dynamics, such as bursts of activity where participants quickly exchange interaction events, e.g., quick back-and-forth speech events. This paper investigates representation and identification of interaction dynamics between participants in small group meetings using Parallel Episodes of speech events. We use meetings from the AMI corpus and identify characteristics that describe interaction dynamics. These can expedite the initial steps of analysis and provide an informed view of the interaction dynamics of a meeting." @default.
• W2906598169 created "2019-01-01" @default.
• W2906598169 creator A5049327871 @default.
• W2906598169 date "2018-10-16" @default.
• W2906598169 modified "2023-09-26" @default.
• W2906598169 title "Using Parallel Episodes of Speech to Represent and Identify Interaction Dynamics for Group Meetings" @default.
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• W2906598169 doi "https://doi.org/10.1145/3279981.3279983" @default.
• W2906598169 hasPublicationYear "2018" @default.
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