Using intention recognition in a simulation platform to assess physical activity levels of an office building

Yifeng Zeng, Zhang Zhang, The Anh Han, Iain R. Spears, Shengchao Qin

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

Abstract

Designing a building to be conducive to physical activity can significantly contribute to reducing sedentary behavior in a workplace. We aim to develop a game-based simulation platform that provides an intuitive, interactive tool to assess physical activity levels of an office building. The platform simulates workplace physical activity in a 3D virtual building. The assessors can freely manipulate spatial metrics characterizing the building's layouts and investigate their potential associations to physical activity levels. The evaluation may facilitate stakeholders to assess a building plan on public health awareness. One of the key challenges in developing such a platform lies in simulating realistic personal behavior in a complex interaction environment. In this paper, we present our initial development of the simulation platform where we focus on tackling the challenge of incorporating intention recognition in human interactions, demonstrating how this incorporation realistically affects their behaviours. Furthermore, we demonstrate the utility of collective intention recognition techniques in improving recognition reliability as well as efficiency of the simulation platform.

Original languageEnglish
Title of host publication16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017
EditorsEdmund Durfee, Michael Winikoff, Kate Larson, Sanmay Das
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1817-1819
Number of pages3
Volume3
ISBN (Electronic)9781510855076
Publication statusPublished - 12 May 2017
Event16th International Conference on Autonomous Agents and Multiagent Systems - Sao Paulo, Brazil
Duration: 8 May 201712 May 2017

Conference

Conference16th International Conference on Autonomous Agents and Multiagent Systems
Abbreviated titleAAMAS 2017
CountryBrazil
CitySao Paulo
Period8/05/1712/05/17

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  • Cite this

    Zeng, Y., Zhang, Z., Han, T. A., Spears, I. R., & Qin, S. (2017). Using intention recognition in a simulation platform to assess physical activity levels of an office building. In E. Durfee, M. Winikoff, K. Larson, & S. Das (Eds.), 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017 (Vol. 3, pp. 1817-1819). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).