AI Personas and Virtual Humans in Obesity Research
Join the EASO Early Career Network (ECN) for a practical introduction to developing and evaluating AI personas and virtual humans in obesity research and care. Drawing on examples from their own research, expert speakers will explore key methodological approaches, design considerations and challenges, with a focus on transferable skills and applications across research disciplines.
- Date: Tuesday, 17 November 2026
- Time: 4–5pm UK / 5–6pm Paris
The learning outcomes of this session are to:
- Understand the principles and potential applications of AI personas and virtual humans in obesity research and care.
- Identify key steps in developing and evaluating AI-based tools, including design choices, validation and practical challenges.
- Recognise opportunities and limitations of these approaches, including considerations around accuracy, bias, ethics and responsible use.
Horaire (CET) :
17:00–17:05: Accueil et présentation
17:05–17:25: From Stakeholder Needs to Design Decisions: LLM-Assisted Personas and Stories for Value-Sensitive Design in Obesity Research – Dr Izidor Mlakar, HUMADEX Research Group, University of Maribor, Slovenia
17:25–17:45: Developing and Evaluating AI-Driven Virtual Humans in Obesity Care: An Intervention Mapping Approach – Dr Leona Ryan, University of Galway, Ireland
17:45–18:00: Questions et réponses et clôture
This webinar will be chaired by EASO ECN Board members, who will also provide a brief update on ECN activities.
Register now to join the webinar.
Students and early career professionals in obesity research, care or policy who are not yet ECN members are warmly invited to join the network to register for this webinar.
Restez connecté avec l'ECN :
- X (Twitter) : @EASOobésitéECN
- Facebook : Réseau EASOobesity pour les jeunes professionnels
- Groupe LinkedIn : EASOobésitéECN
- EASO Bluesky : @easoobesity.bsky.social
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