Enhancing inclusivity in human-computer interaction through the implementation of temporal uncertainty tools
dc.contributor.advisor
Bach, Benjamin
dc.contributor.advisor
Bastian, Michelle
dc.contributor.advisor
Pschetz, Larissa
dc.contributor.author
Bowler, Ryan David
dc.date.accessioned
2024-10-09T12:34:22Z
dc.date.available
2024-10-09T12:34:22Z
dc.date.issued
2024-10-09
dc.description.abstract
This doctoral study explores how Temporal Uncertainty tools can enhance
inclusion in HCI. It proposes that HCI should design tools that accommodate
individuals’ diverse and uncertain temporalities. It argues that dominant concepts
of time can exclude people who experience time differently, drawing on theoretical
and empirical work from social sciences. It focuses on the social aspects of
time in relation to health experiences, and how they shape and are shaped by
uncertainty.
The core argument of this thesis emerged early in the research process
when studying people with Chronic Fatigue Syndrome (CFS). The findings show
that health uncertainty can clash with social norms of time, leading to exclusion.
This is reflected in the research question: In what ways do people with
Chronic Fatigue Syndrome experience time with regard to health and social
interaction? Participants with CFS reported that the pressure to conform to
rigid social and professional interactions, despite their uncertain health, was
problematic and compromised their well-being. This often resulted in social
exclusion.
Building on the research with CFS individuals, this study expanded its scope
to explore Temporal Uncertainty more broadly. A key question that guided this
exploration was: What insights are produced from a broader audience when
given the ability to communicate uncertainty? To answer this question, a
speculative probe named HAZE was created based on design guidelines from the
CFS study. HAZE was deployed with a wider audience to encourage participatory
speculation and allow people to communicate and remain in uncertainty. The
findings revealed a significant demand for tools that facilitate the expression of
uncertainty. Participants indicated that uncertainty is not commonly accepted in
society, and tools like HAZE could help normalise the experience, improve health
outcomes, and foster empathy.
This thesis critiques the lack of attention given to the exclusion experienced
by individuals who do not have access to tools that support the expression
of uncertainty in HCI research. Addressing this issue presents a significant
challenge, as HCI currently lacks methods for investigating people’s experiences
of Temporal Uncertainty. To address this gap, this study posed several research
questions: What is needed within a Toolkit to support people and designers
in exploring times that create uncertainty? This question led to the development of a toolkit and method. What notions and scenarios of uncertainty
do people and designers want to design for? This question advanced our
understanding of the temporal experiences that create uncertainty. What tools
and solutions do people and designers come up with when using the
toolkit? The co-designed interventions that followed revealed the types of tools
that participants desired to support them in expressing Temporal Uncertainty.
The study yielded novel insights into designing for Temporal Uncertainty. While
participants experienced similar types of uncertainty, their subjective contexts
often differed. This meant that, although thematically similar, each participant
required a unique design intervention. This insight suggests that, in order to
advance our understanding and design of uncertainty, HCI researchers should
avoid generalising dichotomies of uncertainty, such as embracing or reducing it.
The research contributions highlight the complexity of designing for uncertainty
when taking into account the temporal subjectivity of individuals. However, by
representing individual needs and experiences of uncertainty, inclusion can be
expanded through the development of more tools, features, and design outputs
that support people when they experience Temporal Uncertainty.
To answer the research questions and obtain the findings, this thesis accomplished the following: 1) Conducted semi-structured interviews to uncover how
social uses of time could exclude people with CFS; 2) Used speculative probes
to explore how others might benefit from communicating Temporal Uncertainty;
3) Developed a methodological toolkit, including a workshop and an uncertainty
language, to facilitate reflection and speculation on times of uncertainty; 4)
Co-designed interventions that were tailored to the subjective experiences of
participants’ uncertainty; and 5) Provided designers with the option to use the
toolkit to speculate about potential users’ moments of uncertainty
This thesis underscores the significance of Temporal Uncertainty tools in promoting inclusion and advancing the design of uncertainty in HCI. It is the author’s
hope that the knowledge, findings, materials, methods, and tools presented in
this work will inspire HCI designers to explore Temporal Uncertainty as a means
of expanding inclusive design.
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dc.identifier.uri
https://hdl.handle.net/1842/42276
dc.identifier.uri
http://dx.doi.org/10.7488/era/4996
dc.language.iso
en
en
dc.publisher
The University of Edinburgh
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dc.relation.hasversion
Bowler, R. D., Bach, B. & Pschetz, L. (2022), Exploring uncertainty in digital scheduling, and the wider implications of unrepresented temporalities in hci, in ‘Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems’, CHI ’22, Association for Computing Machinery, New York, NY, USA. URL: https://doi.org/10.1145/3491102.3502107
en
dc.relation.hasversion
Pschetz, L., Bastian, M., Bowler, R. et al. (2022), ‘Revealing social infrastructures of time’, Speaking for the Social: A Catalogue of Methods
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dc.subject
Chronic Fatigue Syndrome
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dc.subject
Temporal Uncertainty tools
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dc.subject
temporal subjectivity
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dc.subject
social uses of time
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dc.subject
inclusive design
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dc.title
Enhancing inclusivity in human-computer interaction through the implementation of temporal uncertainty tools
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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