Home > Research > Publications & Outputs > The Indoor Air Quality Trilemma

Electronic data

Links

Text available via DOI:

View graph of relations

The Indoor Air Quality Trilemma: Improving Air Quality, Using Less Energy, and Meeting Stakeholder Requirements

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

The Indoor Air Quality Trilemma: Improving Air Quality, Using Less Energy, and Meeting Stakeholder Requirements. / Hussain, Iman; Friday, Adrian; Booker, Douglas.
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. New York: ACM, 2023. p. 275:1-275:6 275 (Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Hussain, I, Friday, A & Booker, D 2023, The Indoor Air Quality Trilemma: Improving Air Quality, Using Less Energy, and Meeting Stakeholder Requirements. in CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems., 275, Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, ACM, New York, pp. 275:1-275:6. https://doi.org/10.1145/3544549.3585898

APA

Hussain, I., Friday, A., & Booker, D. (2023). The Indoor Air Quality Trilemma: Improving Air Quality, Using Less Energy, and Meeting Stakeholder Requirements. In CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 275:1-275:6). Article 275 (Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems). ACM. https://doi.org/10.1145/3544549.3585898

Vancouver

Hussain I, Friday A, Booker D. The Indoor Air Quality Trilemma: Improving Air Quality, Using Less Energy, and Meeting Stakeholder Requirements. In CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. New York: ACM. 2023. p. 275:1-275:6. 275. (Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems). doi: 10.1145/3544549.3585898

Author

Hussain, Iman ; Friday, Adrian ; Booker, Douglas. / The Indoor Air Quality Trilemma : Improving Air Quality, Using Less Energy, and Meeting Stakeholder Requirements. CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. New York : ACM, 2023. pp. 275:1-275:6 (Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems).

Bibtex

@inproceedings{205d6af8a8db4994bc05c9b0868e8989,
title = "The Indoor Air Quality Trilemma: Improving Air Quality, Using Less Energy, and Meeting Stakeholder Requirements",
abstract = "Good indoor air quality (IAQ) is critically important for many as- pects of our lives, including as we{\textquoteright}ve found recently in reducing the transmission of airborne diseases such as COVID-19. Deliv- ering good IAQ poses several challenges to organisations: it can require changes in working practices, be bounded by infrastructure capabilities such as buildings and their heating and ventilation sys- tems, and result in substantial energy usage. In this study we have conducted a preliminary investigation measuring IAQ in a typical {\textquoteleft}science lab{\textquoteright} classroom, and engaging with stakeholders to jointly explore these data. Our mixed methods approach uncovers an in- door air quality {\textquoteleft}trilemma{\textquoteright}, which relates air quality, energy usage, and stakeholder practices that can be mediated by, and understood as, a site for potentially impactful future HCI designs.",
author = "Iman Hussain and Adrian Friday and Douglas Booker",
year = "2023",
month = apr,
day = "19",
doi = "10.1145/3544549.3585898",
language = "English",
series = "Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems",
publisher = "ACM",
pages = "275:1--275:6",
booktitle = "CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems",

}

RIS

TY - GEN

T1 - The Indoor Air Quality Trilemma

T2 - Improving Air Quality, Using Less Energy, and Meeting Stakeholder Requirements

AU - Hussain, Iman

AU - Friday, Adrian

AU - Booker, Douglas

PY - 2023/4/19

Y1 - 2023/4/19

N2 - Good indoor air quality (IAQ) is critically important for many as- pects of our lives, including as we’ve found recently in reducing the transmission of airborne diseases such as COVID-19. Deliv- ering good IAQ poses several challenges to organisations: it can require changes in working practices, be bounded by infrastructure capabilities such as buildings and their heating and ventilation sys- tems, and result in substantial energy usage. In this study we have conducted a preliminary investigation measuring IAQ in a typical ‘science lab’ classroom, and engaging with stakeholders to jointly explore these data. Our mixed methods approach uncovers an in- door air quality ‘trilemma’, which relates air quality, energy usage, and stakeholder practices that can be mediated by, and understood as, a site for potentially impactful future HCI designs.

AB - Good indoor air quality (IAQ) is critically important for many as- pects of our lives, including as we’ve found recently in reducing the transmission of airborne diseases such as COVID-19. Deliv- ering good IAQ poses several challenges to organisations: it can require changes in working practices, be bounded by infrastructure capabilities such as buildings and their heating and ventilation sys- tems, and result in substantial energy usage. In this study we have conducted a preliminary investigation measuring IAQ in a typical ‘science lab’ classroom, and engaging with stakeholders to jointly explore these data. Our mixed methods approach uncovers an in- door air quality ‘trilemma’, which relates air quality, energy usage, and stakeholder practices that can be mediated by, and understood as, a site for potentially impactful future HCI designs.

U2 - 10.1145/3544549.3585898

DO - 10.1145/3544549.3585898

M3 - Conference contribution/Paper

T3 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

SP - 275:1-275:6

BT - CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

ER -