Self-management for Chronic Illness

A Scoping Review on Designing Virtual Assistants for Patient-Centered Care

Conference Paper (2026)
Author(s)

Ariane Lucchini (TU Delft - Industrial Design Engineering)

Alessandro Bozzon (TU Delft - Industrial Design Engineering)

Sara Colombo (TU Delft - Industrial Design Engineering)

Research Group
Knowledge and Intelligence Design
DOI related publication
https://doi.org/10.1145/3772318.3790698 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Knowledge and Intelligence Design
Article number
263
Publisher
ACM
ISBN (electronic)
9798400722783
Event
2026 CHI Conference on Human Factors in Computing Systems, CHI 2026 (2026-04-13 - 2026-04-17), Barcelona, Spain
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Abstract

Chronic illnesses (CI) are increasing worldwide, positioning virtual assistants (VAs) as valuable tools for supporting patients in self-management. As effective self-management relies on holistic, patient-centered practices, AI is increasingly integrated into VAs to provide more personalized support. Yet, it is essential that VA design processes remain grounded in participatory approaches prioritizing patients' values, needs, and lived experiences. To assess the current state of VA design processes, we conducted a scoping review of 55 papers examining how care is framed and patients are involved. Our findings reveal AI-driven VAs prioritize reductionist approaches over holistic care with minimal patient involvement. This highlights a gap between the potential of patient-centered care technology and current implementation practices. Our contributions include (1) a mapping of care dimensions currently implemented in VAs, (2) a categorization of patient roles in the design process, and (3) design implications to expand care dimensions and patient involvement in AI-driven VAs.