David J. Kavanagh

Queensland University of Technology

Papers

11

Total Citations

498

H-Index

8

About

David J. Kavanagh is a pioneering researcher at the intersection of health psychology, behavior change, and human-robot interaction, whose work has fundamentally shaped our understanding of how social robots can serve as effective therapeutic agents. Best known for his highly cited systematic review of randomized controlled trials on psychosocial health interventions by social robots (225 citations), Kavanagh has built a compelling body of evidence demonstrating that robotic systems can meaningfully support health behavior change across diverse clinical contexts. His research spans motivational interviewing delivered by robots, diabetes management, dietary behavior, physical activity promotion, and wellbeing training — consistently applying rigorous trial methodologies to evaluate both feasibility and effectiveness. A distinctive strength of his work is its dual quantitative-qualitative approach: alongside measuring outcomes, he captures participants' lived experiences of human-robot interaction, yielding actionable design recommendations for future systems. His development of validated tools such as the Robot Self-Efficacy Scale further reflects his commitment to building the measurement infrastructure this emerging field requires. Kavanagh's contributions matter particularly because they address real access barriers in mental health and chronic disease care, positioning social robots not as novelties but as scalable, low-intensity clinical tools. His cumulative citation impact underscores his status as a foundational voice in this rapidly evolving field.

Research Focus

Key Achievements

8
H-Index
11
Papers
498
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Psychosocial Health Interventions by Social Robots: Systematic Review of Randomized Controlled Trials
225 citations · 2019
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Queensland University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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