Positing a growth-centric approach in empathic ambient human-system interaction

R. Legaspi, K. Fukui, K. Moriyama, S. Kurihara, M. Numao

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

We define our empathy learning problem as determining the extent by which a system can perceive user affect and intention as well as ambient context, construct models of these perceptions and of its interaction behavior with the user, and incrementally improve on its own its models in order to effectively provide empathic responses that change the ambient context. In concept, system selfimprovement can be viewed as changing its internal assumptions, programs or hardware. In a practical sense, we view this as rooting from a data-centric approach, i.e., the system learns its assumptions from recorded interaction data, and extending to growth-centric, i.e., such knowledge should be dynamically and continuously refined through subsequent interaction experiences as the system learns from new data. To demonstrate this, we return to the fundamental concept of affect modeling to show the data-centric nature of the problem and suggest how to move towards engaging the growth-centric. Lastly, given that an empathic system that is ambient intelligent has yet to be explored, and that most ambient intelligent systems are not affective let alone empathic, we submit for consideration our initial ideas on an empathic ambient intelligence in human-system interaction.

本文言語English
ホスト出版物のタイトルHuman-Computer Systems Interaction - Backgrounds and Applications
編集者Zdzislaw S. Hippe, Juliusz L. Kulikowski
出版社Springer Verlag
ページ233-244
ページ数12
ISBN(印刷版)9783642032011
DOI
出版ステータスPublished - 2009
外部発表はい
イベントInternational Conference on Human-Computer Systems Interaction, H-CSI 2008 - Krakow, Poland
継続期間: 2008 5 252008 5 28

出版物シリーズ

名前Advances in Intelligent and Soft Computing
60
ISSN(印刷版)1867-5662
ISSN(電子版)1860-0794

Other

OtherInternational Conference on Human-Computer Systems Interaction, H-CSI 2008
国/地域Poland
CityKrakow
Period08/5/2508/5/28

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)

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