fellow

Elizabeth Broadbent

2026-2027
Home institution
The University of Auckland, NZ
Country of origin (home institution)
New Zealand
Discipline(s)
Psychology, psychiatry and psychoanalysis
Theme(s)
Artificial Intelligence; Health
Fellowship dates
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Biography

Elizabeth Broadbent is professor in the Department of Psychological Medicine at the University of Auckland (NZ), a position she has held since 2019, having previously served as associate professor (2016–2018), senior lecturer (2010–2015), and lecturer (2005–2009) in the same department. Before her academic career, she worked as a researcher studying fatigue in international flight operations at Air New Zealand (2000–2005), a design engineer at Robotechnology (1997–1998), and a support engineer at TransPower (1995).

She received her PhD in Health Psychology from the University of Auckland (NZ) in 2005, an MSc with first-class honours in Health Psychology from the University of Auckland (NZ) in 2002, a Graduate Diploma in Arts in Psychology from Massey University (NZ) in 2000, and a BE with honours in Electrical and Electronic Engineering from the University of Canterbury (NZ) in 1995.

Elizabeth’s research focuses on patients’ perceptions of illness, human-robot interaction, embodied conversational agents, psychological interventions, social support, embodied cognition, and psychoneuroimmunology.

She was elected Fellow of the Royal Society Te Apārangi New Zealand and Fellow of the Academy of Behavioral Medicine Research (US) in 2022. In 2017, she received a Fulbright Senior Award to study companion robots in Boston (US), and in 2010 held visiting scholar positions at both the Massachusetts Institute of Technology and Harvard University, both in Boston (US). She also received the Early Career Research Excellence Award from the University of Auckland (NZ) in 2008 and the Early Career Award from the International Congress of Behavioural Medicine (DE) in 2004.

Research Project
Creating Socially Effective Connections with AI Agents

The way humans interact with machines has become one of the defining challenges of the 21st century. Humans are inherently social beings who form social networks integral to civilized society. When relationships are lacking, individuals experience loneliness, with negative impacts on mood, health, and longevity.

Societies today face a loneliness epidemic, with growing calls for urgent intervention. This epidemic coincides with the rapid development and use of technology and artificial intelligence (AI). People are turning to AI not only for work-related tasks, but also for casual conversation, companionship, entertainment, and personal advice and support. While initial research has shown some benefits and harms of AI connections, further research is needed.

This fellowship aims to further develop a conceptual model of social connectedness with AI agents, and to design multidisciplinary research to test the model and publish the results. The work will generate novel insights contributing to ethical guidelines for the use of AI to improve health and well-being and to build healthier societies.

Research Interests:

machines; social networks; health; loneliness epidemic