Agent auto-generation system: Interact with your favorite things

Shiori Sawada, Taichi Sono, Michita Imai

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

Abstract

This paper proposes a framework for an Agent Auto-Generation System (AAGS) which gets information from sensor devices and improvises a conversational agent from arbitrary things. AAGS has agent-Types to prepare a perception for an improvised agent according to the shape of the agentization targets. It also has virtual-input, which generates knowledge representation related to information extracted from the networked sensor devices. The virtual-input employs a viewpoint based on the agent-Type to generate a knowledge expression, and gives it to the improvised agent. Experiments to evaluate AAGS revealed that it is necessary to consider the perception of the improvised agents based on the agent-Types. In addition, the agent's viewpoint for the perception has an effect on how people recognize the improvised agent.

Original languageEnglish
Title of host publicationRO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages201-206
Number of pages6
Volume2017-January
ISBN (Electronic)9781538635186
DOIs
Publication statusPublished - 2017 Dec 8
Event26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 - Lisbon, Portugal
Duration: 2017 Aug 282017 Sep 1

Other

Other26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017
CountryPortugal
CityLisbon
Period17/8/2817/9/1

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Control and Optimization

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  • Cite this

    Sawada, S., Sono, T., & Imai, M. (2017). Agent auto-generation system: Interact with your favorite things. In RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication (Vol. 2017-January, pp. 201-206). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMAN.2017.8172302