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Data · dataset · 2014

Posture corpus for the behavior generator; an expressive virtual audience with flexible behavioral styles

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To create a virtual audience with parameterized behavioral styles, real audiences’s behavior was observed, and data of their personality, mood, attitude, and energy level was collected in four conditions: positive presentation, neutral presentation, boring presentation, and critical presentation.

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The audience behavior was then coded for the preparation of modeling the behavioral patterns. This corpus has been used in the paper: N. Kang, W.-P. Brinkman, B. Van Riemsdijk, and M. A. Neerincx, “An Expressive Virtual Audience with Flexible Behavioral Styles,” IEEE Trans.

Affect. Comput., vol. 4, no. 4, pp.

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