An anthropomorphic approach to presenting information on demand response reflecting household's environmental moral

Tomonori Nakayama, Hirotaka Osawa, Shinichiro Okushima

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

1 Citation (Scopus)

Abstract

A demand response method is expected to reduce carbon dioxide emissions and make stable power supply. A demand control depends on electric power suppliers' intention in many cases and therefore users are forced to be inconvenient in their way of life. We now need to develop an innovative method which encourages users to participate in a demand response and electric power saving action without their patience. Usually, the electric power saving behaviors are motivated by pecuniary incentives or environmental concern such as carbon dioxide emissions reduction and power failure probability. On such background, this paper evaluates the effectiveness of the attempt to encourage people's engagement in electric power saving action with the method of presenting information such as numeral, visualized, and anthropomorphized information regarding pecuniary incentives and environmental concern. The result shows that the method of presenting anthropomorphized information strongly induced users' electric power saving behaviors than other methods.

Original languageEnglish
Title of host publicationHAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages329-332
Number of pages4
ISBN (Electronic)9781450335270
DOIs
Publication statusPublished - 2015 Oct 21
Externally publishedYes
Event3rd International Conference on Human-Agent Interaction, HAI 2015 - Daegu, Korea, Republic of
Duration: 2015 Oct 212015 Oct 24

Publication series

NameHAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction

Other

Other3rd International Conference on Human-Agent Interaction, HAI 2015
Country/TerritoryKorea, Republic of
CityDaegu
Period15/10/2115/10/24

Keywords

  • Carbon dioxide emissions
  • Demand response
  • Electric power saving
  • Environmental moral
  • Human agent interaction
  • Micro grid

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Artificial Intelligence
  • Software

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