Kang, Ni (2014): Posture corpus for the behavior generator; an expressive virtual audience with flexible behavioral styles. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:d613cc9c-c10b-4c50-be50-ba8ef7885dc5

Dataset

• Artificial Intelligence and Image Processing
• Library and Information Studies
• Information Systems

expressive audience behavior, Intelligent Systems, Interactive Intelligence, posture corpus

2011-05-01 through 2011-06-30

4TU General Terms of Use

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Ni Kang

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. 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.

• 2014-12-02 first online, published, posted

TU Delft

media types: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

• https://doi.org/10.1109/TAFFC.2013.2297104

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems