A Framework for Designing Diabetes Prevention Chatbots

Authors

  • Abdullah Bin Sawad University of Technology Sydney
  • Rayed Alakhtar King Abdulaziz University
  • Badraddin Alturki King Abdulaziz University
  • Bhuva Narayan University of Technology Sydney
  • Shanshan Lin University of Technology Sydney
  • Mukesh Prasad University of Technology Sydney
  • Baki Kocaballi University of Technology Sydney

Abstract

Type 2 diabetes (T2D) has emerged as a significant catalyst for various health conditions. The availability and cost of health professionals pose challenges, limiting access to personalised lifestyle support. To address this issue, utilising Conversational Agents (CAs) presents an opportunity to improve scalability and adoption by improving efficiency and engagement. This paper aims to develop a framework for designing CA functions that support individuals at risk of T2D to be more active and raise their awareness. The study involves a mixed methods approach, including a survey conducted among 30 participants in Sydney and Jeddah, followed by semi-structured interviews conducted with 10 participants. While descriptive statistics were used to analyse the survey, the interviews were analysed using thematic analysis. Drawing upon the interviews and relevant literature, this study proposes developing a preliminary framework to help design CAs that support individuals with prediabetes to adopt a more active lifestyle.

Published

2025-01-23

Issue

Vol. 3 No. 1 (2024)

Section

ePosters