Agent auto-generation system: Interact with your favorite things

Shiori Sawada, Taichi Sono, Michita Imai

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルRO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
出版者Institute of Electrical and Electronics Engineers Inc.
ページ201-206
ページ数6
2017-January
ISBN(電子版)9781538635186
DOI
出版物ステータスPublished - 2017 12 8
イベント26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 - Lisbon, Portugal
継続期間: 2017 8 282017 9 1

Other

Other26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017
Portugal
Lisbon
期間17/8/2817/9/1

    フィンガープリント

ASJC Scopus subject areas

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

これを引用

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