Research team


Ann DeSmet is a behaviour change researcher with an interest in persuasive technology and methods that have the potential to engage users in healthy behaviour, such as serious games, apps, social media, chatbots and narratives. Previously she worked on projects related to cyberbullying, mental health care, patient-provider communication, illegal drugs, cancer prevention and psychosocial cancer care. Her current research focusses on developing and evaluating digital communication interventions for enhancing healthy lifestyles (physical activity, sleep, low sedentary behaviour) in adults, and in investigating synergies between health and pro-environmental behaviours. She has experience in developing and conducting RCTs of behaviour change interventions, with a particular focus on using new technologies. Her specialist research interests include health communication and technology; behaviour change techniques and other active working mechanisms of interventions; media psychology; user engagement; physical activity, sleep, sedentary behaviour, and mental health; and meta-analyses. Research lines and topics: - healthy lifestyle promotion (physical activity, sleep, diet) - digital health interventions (serious games, apps, wearable trackers) - mental health (promotion and prevention) - pro-environmental behaviours - cyberbullying

Interacting minds, interacting bodies: Research infrastructure for psychophysiological sensor technologies and applications. 01/06/2022 - 31/05/2026


This project is geared towards discovering and developing new applications of state-of-the-art psychophysiological sensor technologies (using computational and AI techniques) to help people with different needs work, learn and play in our modern society, ensuring that this tracking is meaningfully and responsibly applied. To accomplish this, our consortium is suitably interdisciplinary. This undertaking requires well-controlled lab studies and (near-)continuous psychophysiological tracking in real-life settings 'in the wild'. The research infrastructure applied for enables flexible movement from lab explorations of promising markers to checking their robustness in realistic, ecological contexts, and back again.


Research team(s)

Project type(s)

  • Research Project