Haiou Zhu
Postdoctoral Researcher
Haiou is a Postdoctoral Researcher with the CHiMES Collaborative at the Department of Psychiatry, University of Oxford. In addition, she is a Lecturer in Inclusive Design at the UKRI Centre for Doctoral Training in AI for Digital Media Inclusion. Haiou’s research adopts pragmatic and interdisciplinary approach, combining inclusive design, mental health research, behavioural science and digital media.
In work package 4 of the ATTUNE project, she is responsible for evaluating digital games as preventive interventions for young people who have experienced adverse childhood experiences. Haiou is committed to amplifying the voices of underserved communities and addressing health inequalities through co-designing evidence-based, accessible and inclusive interventions, including both arts-based and nature-based initiatives.
Previously, Haiou was a Postdoctoral Researcher with the Neuroscience, Ethics and Society Team in the Department of Psychiatry. She holds a PhD in Design from Loughborough University, where her doctoral research focused on designing health behaviour change interventions informed by behavioural science theories and accommodating the daily lives of rural, lower-income communities.
Recent publications
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Ecological-Collective-Flourishing: A radical proposal for research and policy to develop and sustain human and environmental flourishing
Preprint
Moore J. et al, (2025)
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Public Views on Conservation-Development Trade-offs
Preprint
Awad E. et al, (2025)
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Effects of Perceived Scarcity on Mental Health, Time and Risk Preferences, and Decision-Making During and After COVID-19 Lockdown: A Quasi-Natural Experimental Study (Preprint)
Preprint
Zhu H. et al, (2024)
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Effects of Perceived Scarcity on Mental Health, Time and Risk Preferences, and Decision-Making During and After COVID-19 Lockdown: A Quasi-Natural Experimental Study (Preprint)
Journal article
Zhu H. et al, (2024), JMIR Public Health and Surveillance
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Designing digital patient experiences: The digital health design framework.
Journal article
Wang T. et al, (2024), Appl Ergon, 119
