research-article

The Complexity of Indoor Air Quality Forecasting and the Simplicity of Interacting with It – A Case Study of 1007 Office Meetings

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Hamed AlaviAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 47, Pages 1 - 19

https://doi.org/10.1145/3411764.3445524

Published: 07 May 2021 Publication History

Abstract

Repeated exposure to poor air quality in indoor environments such as office, home, and classroom can have substantial adverse effects on our health and productivity. The problem is especially recognized in closed indoor spaces shared by several people. We have studied the evolution of carbon dioxide level in office-meeting spaces, during 1007 meeting sessions. The collected data is employed to examine machine learning models aimed to indicate the CO2 evolution pattern and to forecast when fresh air should be supplied. In addition, to gain insight into the relations and interdependencies of social factors in meetings that may influence the users’ perception of an interactive solution, we have conducted a series of online surveys. Building on the results of the two studies, a solution is proposed that predicts the evolution of air quality in naturally-ventilated meeting rooms and engages the users in preventive actions when risk is forecast.

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https://dl.acm.org/doi/10.1145/3648479
Margariti EVlachokyriakos VDurrant AKirk D(2024)Evaluating ActuAir: Building Occupants' Experiences of a Shape-Changing Air Quality DisplayProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642396(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642396
Broscheit JDraheim Svon Luck KWang Q(2023)Sentinel Species: Towards a Co-Evolutionary Relationship for Raising Awareness About the State of the AirProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3572748(1-13)Online publication date: 26-Feb-2023
https://dl.acm.org/doi/10.1145/3569009.3572748
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The Complexity of Indoor Air Quality Forecasting and the Simplicity of Interacting with It – A Case Study of 1007 Office Meetings

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
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Katherine Isbister
University of California Santa Cruz, USA
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Takeo Igarashi
The University of Tokyo, Japan
,
Publications Chairs:
Pernille Bjørn
University of Copenhagen, Denmark
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Steven Drucker
Microsoft Research, USA

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Cited By

Xu ABiehl JLee A(2024)Getting it Just Right: Towards Balanced Utility, Privacy, and Equity in Shared Space SensingACM Transactions on Internet of Things10.1145/36484795:2(1-26)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3648479
Margariti EVlachokyriakos VDurrant AKirk D(2024)Evaluating ActuAir: Building Occupants' Experiences of a Shape-Changing Air Quality DisplayProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642396(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642396
Broscheit JDraheim Svon Luck KWang Q(2023)Sentinel Species: Towards a Co-Evolutionary Relationship for Raising Awareness About the State of the AirProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3572748(1-13)Online publication date: 26-Feb-2023
https://dl.acm.org/doi/10.1145/3569009.3572748
Zhong S(2022)Augmenting the Human Perception of Comfort through Interactive AIExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3503809(1-6)Online publication date: 27-Apr-2022
https://dl.acm.org/doi/10.1145/3491101.3503809

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