@inproceedings{004994fbb0b44096ad3dd89e501d4b15,
title = "An Extended Framework for Context Modeling",
abstract = "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.",
keywords = "Context modeling, Experimental design, Macro-cognition, Meso-cognition, Working context",
author = "Daichi Mitsuhashi and Taro Kanno and Satoru Inoue and Daisuke Karikawa and Kohei Nonose and Kimitaka Asatani and Kazuo Furuta",
note = "Funding Information: This work was partly supported by JSPS KAKENHI Grant Number 19H02384. We would like to thank Editage (www.editage.com) for English language editing. Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; AHFE Virtual Conference on Human Factors and Simulation and the International Conference on Digital Human Modeling and Applied Optimization, 2020 ; Conference date: 16-07-2020 Through 20-07-2020",
year = "2021",
doi = "10.1007/978-3-030-51064-0_3",
language = "English",
isbn = "9783030510633",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "18--25",
editor = "Cassenti, {Daniel N.} and Sofia Scataglini and Rajulu, {Sudhakar L.} and Wright, {Julia L.}",
booktitle = "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",
}