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LLM-Based Deliberation for Value-Centered Reflection on Health Data-Sharing Decisions

Requirements

Required:  

  • Proficiency in programming to set up and adapt an LLM-based prototype system.

  • Completion of the lecture on "Human-Computer Interaction" 

Desirable:

  • Basic knowledge of qualitative research methods is desirable
Academic Advisor
David Leimstädtner
Discipline
LLMs
Degree
Master of Science (M.Sc.)
Project

Contents

Context
Health data collected during medical procedures or routine checks can be a valuable resource for data-driven medicine. But for patients, who are asked to decide which data to share for which purpose, these data-sharing decisions can involve complex and competing considerations. Previous research has shown that supporting individuals in reflecting on their values can support their decision-making for data-sharing decisions(Leimstädtner et al., 2025). By making values explicit first, decision-makers can better assess existing alternatives and potentially identify choices that better correspond to what they consider important (Huldtgren, Wiggers & Jonkers, 2014).

Problem
Existing conversational approaches to value-centered decision support rely on predefined questions and interaction structures. LLMs could make such reflection more adaptive by responding to users' individual reasoning to support them in articulating and exploring relationships between their values and available choices.

Aim
The thesis aims to design and evaluate an LLM-based conversational system for supporting reflection on values for complex privacy decisions. Building on existing work on value-centered consent interfaces, the thesis will investigate how LLMs may be used to enhance conversational reflection through adaptive interaction.

Research Question
How can an LLM facilitate value-centered reflection on health data-sharing decisions while preserving user autonomy?

References

  • Applying Value-Based Reflection through Chat-Interface: David Leimstädtner, Peter Sörries, and Claudia Müller-Birn (2025). Designing Value-Centered Consent Interfaces: A Mixed-Methods Approach to Support Patient Values in Data-Sharing Decisions. https://doi.org/10.1145/3757466

  • Privacy Decisions in Complex Data-Ecosystems: Qiurong Song, Yanlai Wu, Rie Helene (Lindy) Hernandez, Yao Li, Yubo Kou, and Xinning Gui. 2025. Understanding Users' Perception of Personally Identifiable Information. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 240, 1–24. https://doi.org/10.1145/3706598.3713783

  • Reflecting on Values to Support Complex Decision Making: Alina Huldtgren, Pascal Wiggers, Catholijn M. Jonker, Designing for Self-Reflection on Values for Improved Life Decision, Interacting with Computers, Volume 26, Issue 1, January 2014, Pages 27–45, https://doi.org/10.1093/iwc/iwt025