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Eye Pattern Analysis in Intelligent Virtual Agents

Part of the Lecture Notes in Computer Science book series (LNAI,volume 2190)

Abstract

This research discusses a new approach that uses patterns of a person’s eye motion to improve human computer interaction between intelligent virtual agents (IVA) and the people who interact with them. This approach adds new capability to current eye tracking interfaces that focus on eye fixations instead of patterns of motion. The analysis of eye motion on the pattern level can deliver three values to an eye tracking interface: speed, interaction reliability, and a more complete understanding of user attention. This research builds a system, called InVision, to demonstrate how the analysis of eye fixation at the pattern level can improve eye tracking interfaces for human computer interaction. An IVA is built using this eye pattern analysis technique.

Keywords

  • Object Size
  • Selection Accuracy
  • Pattern Level
  • Target Acquisition
  • User Attention

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© 2001 Springer-Verlag Berlin Heidelberg

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Li, M., Selker, T. (2001). Eye Pattern Analysis in Intelligent Virtual Agents. In: de Antonio, A., Aylett, R., Ballin, D. (eds) Intelligent Virtual Agents. IVA 2001. Lecture Notes in Computer Science(), vol 2190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44812-8_3

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  • DOI: https://doi.org/10.1007/3-540-44812-8_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42570-0

  • Online ISBN: 978-3-540-44812-9

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