An Extended Framework for Context Modeling

Daichi Mitsuhashi, Taro Kanno, Satoru Inoue, Daisuke Karikawa, Kohei Nonose, Kimitaka Asatani, Kazuo Furuta

研究成果: Conference contribution

抄録

This paper proposes an extended framework to describe a context for a human work environment. The framework consists of human and nonhuman elements, their inner states, and the interactions among them, with all these elements physically distributed in time and space. Moreover, it is noted that descriptive, normative, prescriptive, and formative representations of contexts should be distinguished. This enables us to use the proposed framework to describe past and future contexts in a standardized way so that we can share our contextual knowledge and design a context.

本文言語English
ホスト出版物のタイトルAdvances in Simulation and Digital Human Modeling - Proceedings of the AHFE 2020 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization
編集者Daniel N. Cassenti, Sofia Scataglini, Sudhakar L. Rajulu, Julia L. Wright
出版社Springer
ページ18-25
ページ数8
ISBN(印刷版)9783030510633
DOI
出版ステータスPublished - 2021
イベントAHFE Virtual Conference on Human Factors and Simulation and the International Conference on Digital Human Modeling and Applied Optimization, 2020 - San Diego, United States
継続期間: 2020 7 162020 7 20

出版物シリーズ

名前Advances in Intelligent Systems and Computing
1206 AISC
ISSN(印刷版)2194-5357
ISSN(電子版)2194-5365

Conference

ConferenceAHFE Virtual Conference on Human Factors and Simulation and the International Conference on Digital Human Modeling and Applied Optimization, 2020
国/地域United States
CitySan Diego
Period20/7/1620/7/20

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンス(全般)

引用スタイル