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The COVID-19 pandemic has forced changes to the lifestyle behaviors of children, thereby making the risk of developing obesity even greater. Novel preventive tools and approaches are required to fight childhood obesity. We present a social robot-based platform which utilizes an interactive motivational strategy in communication with children, collects self-reports through the touch of tangible objects, and processes behavioral data, aiming to: (a) screen and assess the behaviors of children in the dimensions of physical activity, diet, and education, and (b) recommend individualized goals for health behavior change. The platform was integrated through a microservice architecture within a multi-component system targeting childhood obesity prevention. The platform was evaluated in an experimental study with 30 children aged 9\u201312\u00a0years in a real-life school setting, showing children\u2019s acceptance to use it, and an 80% success rate in achieving weekly personal health goals recommended by the social robot-based platform. The results provide preliminary evidence on the implementation feasibility and potential of the social robot-based platform toward the betterment of children\u2019s health behaviors in the context of childhood obesity prevention. Further rigorous longer-term studies are required.<\/jats:p>","DOI":"10.1007\/s10209-022-00922-7","type":"journal-article","created":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T10:02:23Z","timestamp":1664618543000},"page":"1405-1415","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A social robot-based platform for health behavior change toward prevention of childhood obesity"],"prefix":"10.1007","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6938-8256","authenticated-orcid":false,"given":"Andreas","family":"Triantafyllidis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anastasios","family":"Alexiadis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimosthenis","family":"Elmas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georgios","family":"Gerovasilis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konstantinos","family":"Votis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitrios","family":"Tzovaras","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,10,1]]},"reference":[{"key":"922_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3310\/hta19430","volume":"19","author":"M Simmonds","year":"2015","unstructured":"Simmonds, M., Burch, J., Llewellyn, A., Griffiths, C., Yang, H., Owen, C., Duffy, S., Woolacott, N.: The use of measures of obesity in childhood for predicting obesity and the development of obesity-related diseases in adulthood: a systematic review and meta-analysis. 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