Agent auto-generation system: Interact with your favorite things

Shiori Sawada, Taichi Sono, Michita Imai

研究成果: Conference contribution

抄録

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.

本文言語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
出版社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
出版ステータスPublished - 2017 12月 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月 282017 9月 1

Other

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

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 人間とコンピュータの相互作用
  • 制御と最適化

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