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機械学習でヒトの行動を変える

Hiromu Yakura
November 01, 2024

 機械学習でヒトの行動を変える

HCIという領域の関心の一つに,コンピュータの新たな使い方を生み出すという点がある.この観点から,機械学習技術を用いて特にユーザの行動変容を生み出すというユースケースを紹介し,求められるインタラクションデザインについて議論する.また,機械学習技術が意図せずユーザの行動を変えている事例にも触れながら,ユーザや社会との関係の中で機械学習技術を捉えることを試みる.

Hiromu Yakura

November 01, 2024
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    1 : Carnegie Mellon University 2: Max-Planck Institute for Human Development (Previously: University of Tsukuba) 3: National Institute of Advanced Industrial Science and Technology (AIST)
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    Communications: Theory and Design Implications. Int. J. Hum. Comput. 1995. C. Coombs. Will COVID-19 Be the Tipping Point for the Intelligent Automation of Work? A Review of the Debate and Implications for Research. Int. J. Inf. Manage. 2020. A. Kuzminykh, et al. Classification of Functional Attention in Video Meetings. ACM CHI 2020. R. S. Oeppen, et al. Human Factors Recognition at Virtual Meetings and Video Conferencing: How to Get the Best Performance From Yourself and Others. Br. J. Oral Maxillofac. Surg. 2020. w ಛʹ$07*%Ҏ߱ɺΦϯϥΠϯ΍ ಈըϕʔεͷίϛϡχέʔγϣϯͷ ػձ͸֨ஈʹ૿͍͑ͯΔ<8IJUUBLFS>  w ͔͠͠ɺͦ͏͍ͬͨ৔໘Ͱਓؒ͸ ༰қʹूதΛࣦ͍͕ͪ<,J[NJOZLI > w εϚϗΛ৮ͬͨΓɺ8FCϒϥ΢δϯάΛͨ͠Γͱ͍͏ӨڹͰ ΦϯϥΠϯձٞͷੜ࢈ੑ͕௿͘ͳ͍ͬͯΔ<0QQFO > 8
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  9. 21 S. Noy, et al. Experimental evidence on the productivity

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