An architecture for biologically grounded real-time reflexive behavior

Bernardet, U., Chollet, M. , DiPaola, S. and Scherer, S. (2016) An architecture for biologically grounded real-time reflexive behavior. In: Traum, D., Swartout, W., Khooshabeh, P., Kopp, S., Scherer, S. and Leuski, A. (eds.) Intelligent Virtual Agents. Series: Lecture notes in computer science (10011). Springer, pp. 295-305. (doi: 10.1007/978-3-319-47665-0_26)

Abstract

In this paper, we present a reflexive behavior architecture, that is geared towards the application in the control of the non-verbal behavior of the virtual humans in a public speaking training system. The model is organized along the distinction between behavior triggers that are internal (endogenous) to the agent, and those that origin in the environment (exogenous). The endogenous subsystem controls gaze behavior, triggers self-adaptors, and shifts between different postures, while the exogenous system controls the reaction towards auditory stimuli with different temporal and valence characteristics. We evaluate the different components empirically by letting participants compare the output of the proposed system to valid alternative variations.

• Item Type: Book Sections
• Status: Published
• Glasgow Author(s) Enlighten ID: Chollet, Dr Mathieu
• Authors: Bernardet, U., Chollet, M., DiPaola, S., and Scherer, S.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Publisher: Springer

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