International Conference on Intelligent Virtual Agents

IVA 2016: Intelligent Virtual Agents pp 295-305

An Architecture for Biologically Grounded Real-Time Reflexive Behavior

  • Ulysses Bernardet
  • Mathieu Chollet
  • Steve DiPaola
  • Stefan Scherer
Conference paper

DOI: 10.1007/978-3-319-47665-0_26

Volume 10011 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Bernardet U., Chollet M., DiPaola S., Scherer S. (2016) An Architecture for Biologically Grounded Real-Time Reflexive Behavior. In: Traum D., Swartout W., Khooshabeh P., Kopp S., Scherer S., Leuski A. (eds) Intelligent Virtual Agents. IVA 2016. Lecture Notes in Computer Science, vol 10011. Springer, Cham

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.

Keywords

Reactive behavior Reflexive behavior Cognitive architecture idle attention Virtual character 

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Ulysses Bernardet
    • 1
  • Mathieu Chollet
    • 2
  • Steve DiPaola
    • 1
  • Stefan Scherer
    • 2
  1. 1.School of Interactive Arts and TechnologySimon Fraser University VancouverVancouverCanada
  2. 2.Institute for Creative TechnologiesUniversity of Southern CaliforniaLos AngelesUSA