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Designing Emotions

An Empirical Approach to Realistic Affect Simulation

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Abstract

While current virtual characters may look photorealistic they often lack behavioral complexity. Emotion may be the key ingredient to create behavioral variety, social adaptivity and thus believability. While various models of emotion have been suggested, the concrete parametrization must often be designed by the implementer. We propose to enhance an implemented affect simulator called ALMA (A Layered Model of Affect) by learning the parametrization of the underlying OCC model through user studies. Users are asked to rate emotional intensity in a variety of described situations. We then use regression analysis to recreate these reactions in the OCC model. We present a tool called EMIMOTO (EMotion Intensity MOdeling TOol) in conjunction with the ALMA simulation tool. Our approach is a first step toward empirically parametrized emotion models that try to reflect user expectations.

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Notes

  1. http://emotion-research.net.

  2. http://sspnet.eu/.

  3. http://www.w3.org/TR/emotionml/.

  4. http://www.jessrules.com/.

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Acknowledgements

This research has been carried out within the framework of the Excellence Cluster Multimodal Computing and Interaction (MMCI), sponsored by the German Research Foundation (DFG).

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Authors and Affiliations

  1. DFKI, Campus D 3 2, 66123, Saarbrücken, Germany

    Michael Kipp & Patrick Gebhard

  2. Campus D 3 2, 66123, Saarbrücken, Germany

    Thomas Dackweiler

Authors
  1. Michael Kipp
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  2. Thomas Dackweiler
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  3. Patrick Gebhard
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Correspondence to Michael Kipp.

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Kipp, M., Dackweiler, T. & Gebhard, P. Designing Emotions. Künstl Intell 25, 205–211 (2011). https://doi.org/10.1007/s13218-011-0110-2

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  • DOI: https://doi.org/10.1007/s13218-011-0110-2

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