An Extended Framework for Context Modeling

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationAdvances 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
EditorsDaniel N. Cassenti, Sofia Scataglini, Sudhakar L. Rajulu, Julia L. Wright
PublisherSpringer
Pages18-25
Number of pages8
ISBN (Print)9783030510633
DOIs
Publication statusPublished - 2021
EventAHFE Virtual Conference on Human Factors and Simulation and the International Conference on Digital Human Modeling and Applied Optimization, 2020 - San Diego, United States
Duration: 2020 Jul 162020 Jul 20

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1206 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

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

Keywords

  • Context modeling
  • Experimental design
  • Macro-cognition
  • Meso-cognition
  • Working context

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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