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A framework for artificial intelligence (AI) design to support emotion work of informal caregivers
Dissertation   Open access

A framework for artificial intelligence (AI) design to support emotion work of informal caregivers

Diva Smriti
Doctor of Philosophy (Ph.D.), Drexel University
Sep 2024
DOI:
https://doi.org/10.17918/00010628
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Smriti_Diva_20244.42 MBDownloadView

Abstract

Artificial intelligence Teams in the workplace--Data processing CSCW (Computer-supported cooperative work) Emotions in the workplace Software frameworks Caregivers--Information services Human-Computer Interaction
The demanding nature of informal caregiving brings challenges to caregivers' emotional and physical health. The Human-Computer Interaction (HCI) community has increasingly examined ways to support caregivering burden, but the solutions mostly focus on offloading visible caregiving burden, not so much the invisible work of caregivers. Conversely, informal caregivers go through a range of emotion work wherein they suppress, evoke, or perform a mixture of evocation and suppression of emotions in demand to the situation or context. This complexity of emotions and their management has implications that are underexplored in HCI and AI design. In my dissertation work, I aimed to understand the emotion work of informal caregivers and how we can develop a framework to generate design requirements for future AI systems to help with this work. I first conducted user studies and interviews to understand the context-specific needs of informal caregivers, what they perceived as emotion work, and how future design can help with the emotion work. I do this in two caregiving contexts: parenting of young children and Alzheimer's Disease and Related Dementias (ADRD). Then, I iteratively developed a framework that has two aims: (i) understanding the emotion work to gauge the level and scope of AI help needed and (ii) generating design requirements for AI to help with the emotion work. The framework helps HCI researchers and designers to identify, understand, and think about how AI can best help with emotion work and generate design requirements for the same. Finally, I evaluated the framework with HCI/UX students to understand the feasibility of using the framework and the perceived usefulness of the design requirements, and suggest improvements.

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