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Integration of Multi-modal Cues in Synthetic Attention Processes to Drive Virtual Agent Behavior

  • Sven SeeleEmail author
  • Tobias Haubrich
  • Tim Metzler
  • Jonas Schild
  • Rainer Herpers
  • Marcin Grzegorzek
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10498)

Abstract

Simulations and serious games require realistic behavior of multiple intelligent agents in real-time. One particular issue is how attention and multi-modal sensory memory can be modeled in a natural but effective way, such that agents controllably react to salient objects or are distracted by other multi-modal cues from their current intention. We propose a conceptual framework that provides a solution with adherence to three main design goals: natural behavior, real-time performance, and controllability. As a proof of concept, we implement three major components and showcase effectiveness in a real-time game engine scenario. Within the exemplified scenario, a visual sensor is combined with static saliency probes and auditory cues. The attention model weighs bottom-up attention against intention-related top-down processing, controllable by a designer using memory and attention inhibitor parameters. We demonstrate our case and discuss future extensions.

Keywords

Intelligent virtual agents Synthetic perception Virtual attention 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Sven Seele
    • 1
    Email author
  • Tobias Haubrich
    • 1
  • Tim Metzler
    • 1
  • Jonas Schild
    • 1
    • 2
  • Rainer Herpers
    • 1
    • 3
    • 4
  • Marcin Grzegorzek
    • 5
  1. 1.Institute of Visual ComputingBonn-Rhein-Sieg University of Applied SciencesSankt AugustinGermany
  2. 2.Hochschule Hannover – University of Applied Sciences and ArtsHannoverGermany
  3. 3.University of New BrunswickNew BrunswickCanada
  4. 4.York UniversityTorontoCanada
  5. 5.Research Group for Pattern RecognitionUniversity of SiegenSiegenGermany

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