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Although previous research has mainly focused on social robots, the phenomenon gains increasing attention in industrial human-Robot interaction as well. In this study, the impact of anthropomorphic design of a collaborative industrial robot on the dynamics of trust and visual attention allocation was examined. Participants interacted with a robot, which was either anthropomorphically or non-anthropomorphically designed. Unexpectedly, attribute-based trust measures revealed no beneficial effect of anthropomorphism but even a negative impact on the perceived reliability of the robot. Trust behavior was not significantly affected by an anthropomorphic robot design during faultless interactions, but showed a relatively steeper decrease after participants experienced a failure of the robot. With regard to attention allocation, the study clearly reveals a distracting effect of anthropomorphic robot design. The results emphasize that anthropomorphism might not be an appropriate feature in industrial HRI as it not only failed to reveal positive effects on trust, but distracted participants from relevant task areas which might be a significant drawback with regard to occupational safety in HRI.\n          <\/jats:p>","DOI":"10.1145\/3472224","type":"journal-article","created":{"date-parts":[[2021,10,19]],"date-time":"2021-10-19T00:28:21Z","timestamp":1634603301000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":77,"title":["Impact of Anthropomorphic Robot Design on Trust and Attention in Industrial Human-Robot Interaction"],"prefix":"10.1145","volume":"11","author":[{"given":"Linda","family":"Onnasch","sequence":"first","affiliation":[{"name":"Engineering Psychology, Humboldt-Universit\u00e4t zu Berlin, Berlin, Germany"}]},{"given":"Clara Laudine","family":"Hildebrandt","sequence":"additional","affiliation":[{"name":"Engineering Psychology, Humboldt-Universit\u00e4t zu Berlin, Berlin, Germany"}]}],"member":"320","published-online":{"date-parts":[[2021,10,18]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.5898\/JHRI.6.1.Admoni"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jretconser.2012.03.006"},{"key":"e_1_3_1_4_2","first-page":"10","volume-title":"Proceedings of the AAAI Symposium on Artificial Intelligence for Human-Robot Interaction","author":"Ahmad Muneeb Imtiaz","year":"2019","unstructured":"Muneeb Imtiaz Ahmad, Jasmin Bernotat, Katrin Lohan, and Friederike Eyssel. 2019. 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