But Where do We Begin? Guiding Improved Design for End-of-Life Data Planning Approaches

100% of us will die. Meanwhile, each of us creates more and more online accounts and data throughout our lives than ever before. Although online accounts and data must increasingly be integrated with our end-of-life planning practices, that integration has been slow. Inventory-based data planning approaches recently developed by legal firms and industry players show promise in providing support. However, these approaches are still largely focused on planning for financial assets like online bank accounts. It is unclear if these approaches address the deeper human-centered needs, such as digital legacy. To imagine new approaches for end-of-life planning that account for emerging social-technical needs, this dissertation asks: How might social computing researchers and practitioners design more effective approaches for end-of-life data planning that can holistically account for human factors such as digital legacy?

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Publication Details

Published
2024-12-28
DOI
https://doi.org/10.1145/3688828.3699653
Citations
1
Primary Topic
Palliative Care and End-of-Life Issues
Type
article
Field-Weighted Citation Impact
0.54
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article

But Where do We Begin? Guiding Improved Design for End-of-Life Data Planning Approaches

Dylan Thomas Doyle
1 citations
Palliative Care and End-of-Life Issues
0.54
article

But Where do We Begin? Guiding Improved Design for End-of-Life Data Planning Approaches

Dylan Thomas Doyle
article en
1 citations

Abstract

100% of us will die. Meanwhile, each of us creates more and more online accounts and data throughout our lives than ever before. Although online accounts and data must increasingly be integrated with our end-of-life planning practices, that integration has been slow. Inventory-based data planning approaches recently developed by legal firms and industry players show promise in providing support. However, these approaches are still largely focused on planning for financial assets like online bank accounts. It is unclear if these approaches address the deeper human-centered needs, such as digital legacy. To imagine new approaches for end-of-life planning that account for emerging social-technical needs, this dissertation asks: How might social computing researchers and practitioners design more effective approaches for end-of-life data planning that can holistically account for human factors such as digital legacy?

University of Colorado Boulder (US)
Responsible consumption and production
Openalex Percentile: Top 25%
Palliative Care and End-of-Life Issues
0.54
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