Effectiveness of intrinsically motivated adaptive agent for sustainable human-agent interaction

Takayuki Nozawa, Toshiyuki Kondo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

To achieve sustainable human-agent interaction (HAI), we proposed a new model of intrinsically motivated adaptive agent, which learns about the human partner and behaves to satisfy its intrinsic motivation. To investigate the model's effectiveness, we conducted a comparative HAI experiment with a simple interaction setting. The results showed that the model was effective in inducing subjective impressions of higher enjoyability and sustainability. The subjects' brain activity measured by near-infrared spectroscopy (NIRS) indicated higher variability of activity at left dorsolateral prefrontal cortex during the interaction with the proposed agent.

Original languageEnglish
Title of host publicationNeural Information Processing - 16th International Conference, ICONIP 2009, Proceedings
Pages179-188
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 2009 Dec 1
Event16th International Conference on Neural Information Processing, ICONIP 2009 - Bangkok, Thailand
Duration: 2009 Dec 12009 Dec 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5864 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Conference on Neural Information Processing, ICONIP 2009
CountryThailand
CityBangkok
Period09/12/109/12/5

Keywords

  • Adaptive agent
  • Human-agent interaction (HAI)
  • Intrinsic motivation
  • Near-infrared spectroscopy (NIRS)
  • Reinforcement learning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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