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This study expands existing research by examining how a person\u2019s health risk (low vs. high) and types of robot feedback (generalised vs. personalised) impact users\u2019 intention to follow robot\u2019s recommendation in the context of fostering awareness of sun-protective behaviours to mitigate skin cancer risks. In our in-person human-robot interaction study using the temi service robot (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200998), personalised feedback was perceived as higher quality, fostering greater satisfaction towards the robot\u2019s recommendations, and increasing users\u2019 intention and likelihood to implement positive behavioural changes. Furthermore, risk scores serve as critical boundary conditions, with high-risk users perceiving personalised feedback as significantly higher quality than generic feedback. We also show that high-risk users reported heightened anxiety, resulting in a greater inclination to follow the robot\u2019s recommendation and stronger intention to implement the recommended behavioural changes. These findings underscore the significance of providing personalised interaction experience and acknowledging individuals\u2019 emotional states when designing social robots intended to motivating behavioural change for health benefits.\n                  <\/jats:p>","DOI":"10.1007\/s12369-026-01406-x","type":"journal-article","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T14:10:15Z","timestamp":1780927815000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Generic Vs. Personalised Robot Feedback in Health-Related Recommendation: Influence on User Satisfaction and Behavioural Change Intention"],"prefix":"10.1007","volume":"18","author":[{"given":"Dewi","family":"Tojib","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3748-0442","authenticated-orcid":false,"given":"Elahe","family":"Abdi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leimin","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,8]]},"reference":[{"key":"1406_CR1","doi-asserted-by":"publisher","unstructured":"Baumeister H, Kraft R, Baumel A, Pryss R, Messner E-M (2023) Persuasive e-health design for Behavior change. In: Montag C, Baumeister H (eds) Digital Phenotyping and Mobile sensing: new developments in Psychoinformatics. 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