research-article

VIDDE: Visualizations for Helping People with COPD Interpret Dyspnea During Exercise

Authors:

Fanny ChevalierAuthors Info & Claims

ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

Article No.: 13, Pages 1 - 14

https://doi.org/10.1145/3441852.3471204

Published: 17 October 2021 Publication History

Abstract

People with chronic obstructive pulmonary disease (COPD) experience dyspnea and dyspnea-related distress and anxiety (DDA) upon physical exertion. When performing supervised exercise, measurement of physiological data, such as heart rate (HR) and blood oxygen saturation (O2sat), are commonly used for safety, but the impacts of such monitoring on their perceptions and behaviour have not previously been studied. This paper investigates the effect of presenting live physiological data to people with COPD during exercise with a focus on its impact on perceptions of dyspnea intensity (DI) and DDA. Informed by formative interviews with 15 people with COPD, we design VIDDE, an exercise companion tool visualizing live data from a pulse oximeter, and evaluate its effect on DI and DDA through case studies involving 3 participants with COPD exercising at their homes. We also conducted design probe interviews with 6 more participants with COPD to investigate their needs and design requirements for an exercise-companion application that featured physiological data monitoring. Our results suggest that presenting live physiological data during exercise is of value, and can contribute to reduced DDA, better understanding of breathlessness sensations, while providing sufficient reassurance to encourage physical activity.

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Cited By

Liao YYu JZhan YLiu YZhou YWang HLiu XWang WMa YLan F(2024)Motivating factors for physical activity participation among individuals with chronic obstructive pulmonary disease: A qualitative study applying the motivation, opportunity, and ability modelPLOS ONE10.1371/journal.pone.030385819:5(e0303858)Online publication date: 23-May-2024
https://doi.org/10.1371/journal.pone.0303858
Mansoor HGerych WAlajaji ABuquicchio LChandrasekaran KAgu ERundensteiner E(2023)Exploratory Data Analysis of Population Level Smartphone-Sensed DataComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-031-25477-2_10(206-231)Online publication date: 2-Feb-2023
https://doi.org/10.1007/978-3-031-25477-2_10
Mack KMcDonnell EFindlater LEvans H(2022)Chronically Under-Addressed: Considerations for HCI Accessibility Practice with Chronically Ill PeopleProceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3517428.3544803(1-15)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3517428.3544803

Index Terms

VIDDE: Visualizations for Helping People with COPD Interpret Dyspnea During Exercise
1. Applied computing
  1. Life and medical sciences
2. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

October 2021

730 pages

ISBN:9781450383066

DOI:10.1145/3441852

Editors:
Jonathan Lazar
University of Maryland, USA
,
Jinjuan Heidi Feng
Towson University, USA
,
Faustina Hwang
Towson University, USA

Copyright © 2021 ACM.

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Published: 17 October 2021

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ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility

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ASSETS '21 Paper Acceptance Rate 36 of 134 submissions, 27%;

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Cited By

Liao YYu JZhan YLiu YZhou YWang HLiu XWang WMa YLan F(2024)Motivating factors for physical activity participation among individuals with chronic obstructive pulmonary disease: A qualitative study applying the motivation, opportunity, and ability modelPLOS ONE10.1371/journal.pone.030385819:5(e0303858)Online publication date: 23-May-2024
https://doi.org/10.1371/journal.pone.0303858
Mansoor HGerych WAlajaji ABuquicchio LChandrasekaran KAgu ERundensteiner E(2023)Exploratory Data Analysis of Population Level Smartphone-Sensed DataComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-031-25477-2_10(206-231)Online publication date: 2-Feb-2023
https://doi.org/10.1007/978-3-031-25477-2_10
Mack KMcDonnell EFindlater LEvans H(2022)Chronically Under-Addressed: Considerations for HCI Accessibility Practice with Chronically Ill PeopleProceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3517428.3544803(1-15)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3517428.3544803

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