Presentation 2022-07-01
Nudge & Boost Agent
Tetsuo Ono,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a methodology for designing agents to support human decision-making and behavior changes. Specifically, we aim to promote our decision-making and behavior changes by implementing the agents as an ambient intelligence system and using the nudge and boost functions proposed in behavioral economics.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Human-agent interaction / Ambient intelligence system / Nudge / Boost / Behavioral economics
Paper # CNR2022-4
Date of Issue 2022-06-24 (CNR)

Conference Information
Committee CNR
Conference Date 2022/7/1(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Masayuki Kanbara(NAIST)
Vice Chair Yuri Nishikawa(AIST)
Secretary Yuri Nishikawa(Toshiba)
Assistant Yuta Hoshi(NHK) / Junji Yamato(Kogakuin Univ.)

Paper Information
Registration To Technical Committee on Cloud Network Robotics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Nudge & Boost Agent
Sub Title (in English) Designing Agents for Human Decision-Making and Behavior Change
Keyword(1) Human-agent interaction
Keyword(2) Ambient intelligence system
Keyword(3) Nudge
Keyword(4) Boost
Keyword(5) Behavioral economics
1st Author's Name Tetsuo Ono
1st Author's Affiliation Hokkaido University(Hokudai)
Date 2022-07-01
Paper # CNR2022-4
Volume (vol) vol.122
Number (no) CNR-93
Page pp.pp.15-18(CNR),
#Pages 4
Date of Issue 2022-06-24 (CNR)