TY - DATA T1 - Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change: materials & collected data PY - 2024/09/24 AU - Pei-Yu Chen AU - M.B. (Birna) van Riemsdijk AU - Myrthe Tielman UR - DO - 10.4121/71ecfa47-9d3c-44ab-abe3-58cabdc41b6c.v1 KW - Behaviour support technology KW - Values KW - User model KW - Personalization KW - Conversational agent N2 -

This dataset consists of 1) worksheets for capturing participants' feedback on current diabetes care practices; 2) worksheets for collecting participants' opinions on proposed AI scenarios; and 3) a document with notes from a dedicated notetaker. The goal of this work is to gather healthcare experts' insights on the role of conversational intermediary AI (CIAI) in enhancing patient-provider communication.

Study

we conducted an exploratory focus group with healthcare experts to discuss the present state of diabetes care, illustrated through a storyboard that showcases interactions between a patient, a GP assistant, and an AI system for promoting healthy lifestyle changes. We also explored the proposed AI functionalities introduced in the storyboard.

Data & analysis

During the sessions, participants used worksheets with structured discussion prompts and space for notes. A dedicated notetaker captured the verbal contributions, enriching the dataset with detailed expert insights.

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