Good Days, Bad Days: Understanding the Trajectories of Technology Use During Chronic Fatigue Syndrome
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Good Days, Bad Days : Understanding the Trajectories of Technology Use During Chronic Fatigue Syndrome. / Paymal, Lea; Homewood, Sarah.
CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems. Association for Computing Machinery, Inc., 2024. 128.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - Good Days, Bad Days
T2 - 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
AU - Paymal, Lea
AU - Homewood, Sarah
N1 - Publisher Copyright: © 2024 Copyright held by the owner/author(s)
PY - 2024
Y1 - 2024
N2 - People with chronic illness often fluctuate between “good days” and “bad days” where symptoms are more or less severe depending on a range of factors and triggers. Our research contributes preliminary empirical knowledge on technology use during chronic illness depending on fluctuations in symptoms over time. We conducted a scoping study with people with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) to understand how their illness shapes how they use technologies in their everyday lives. This research contributes a timely HCI lens on the under-researched illness of ME/CFS, proposes the “trajectories of technology use” model that can be used to articulate how technologies are used during chronic illness, and points to design openings for technologies that are more accessible for people who experience chronic fatigue, sensory sensitivities and cognitive limitations. These design openings include non-screen-based technologies, and designing technologies that acknowledge and adapt to the changing body during fluctuations in symptoms.
AB - People with chronic illness often fluctuate between “good days” and “bad days” where symptoms are more or less severe depending on a range of factors and triggers. Our research contributes preliminary empirical knowledge on technology use during chronic illness depending on fluctuations in symptoms over time. We conducted a scoping study with people with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) to understand how their illness shapes how they use technologies in their everyday lives. This research contributes a timely HCI lens on the under-researched illness of ME/CFS, proposes the “trajectories of technology use” model that can be used to articulate how technologies are used during chronic illness, and points to design openings for technologies that are more accessible for people who experience chronic fatigue, sensory sensitivities and cognitive limitations. These design openings include non-screen-based technologies, and designing technologies that acknowledge and adapt to the changing body during fluctuations in symptoms.
KW - Accessibility
KW - Body in HCI
KW - Chronic fatigue
KW - Chronic Fatigue Syndrome
KW - Design
KW - Dynamic Disability
KW - Episodic Illness
KW - ME/CFS
KW - Myalgic Encephalomyelitis
U2 - 10.1145/3613904.3642553
DO - 10.1145/3613904.3642553
M3 - Article in proceedings
AN - SCOPUS:85194900815
BT - CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
PB - Association for Computing Machinery, Inc.
Y2 - 11 May 2024 through 16 May 2024
ER -
ID: 394527395