Papers
8
Total Citations
272
H-Index
7
About
Meg Tonkin is a leading researcher at the intersection of human-robot interaction (HRI), user experience (UX) design, and trustworthy AI. Her work fundamentally addresses how social robots can be effectively and ethically deployed in public spaces, with a core focus on the critical factors of user trust, transparency, and privacy. Tonkin’s major contributions include pioneering a design methodology for the UX of HRI, which has become a foundational reference (79 citations). She has also conducted seminal experiments on the factors influencing trust in robot recommender systems (60 citations) and demonstrated that transparent data practices significantly increase user acceptance (59 citations). Her research uniquely combines empirical studies on robot embodiment and persuasion with a strong emphasis on responsible innovation, as seen in her work on "privacy by design" for machine learning. With a portfolio of highly cited papers that have shaped the conversation around ethical social robotics, Tonkin is a key voice in ensuring that as robots enter our daily lives, they do so in a way that is both engaging and respectful of human values.
Research Focus
Key Achievements
Top Papers
- 1Design Methodology for the UX of HRI79 citations · 2018
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- 3Be More Transparent and Users Will Like You59 citations · 2018
- 4Bon Appetit! Robot Persuasion for Food Recommendation31 citations · 2018
- 5Embodiment, Privacy and Social Robots: May I Remember You?24 citations · 2017
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