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In this paper, we took the first step towards answering this question by performing a crowd-robot gate-crossing experiment. The study involved 28 participants and two distinct robot representatives: A smart wheelchair and a Pepper humanoid robot. Collected data includes: video recordings; robot and participant trajectories; and participants\u2019 responses to post-interaction questionnaires. Quantitative analysis on the trajectories suggests the robot affects crowd dynamics in terms of trajectory regularity and interaction complexity. Qualitative results indicate that pedestrians tend to be more conservative and follow \u201csocial rules\u201d while passing a wheelchair compared to a humanoid robot. These insights can be used to design a social navigation strategy that allows more natural interaction by considering the robot effect on the crowd dynamics.<\/jats:p>","DOI":"10.1007\/s12369-021-00812-7","type":"journal-article","created":{"date-parts":[[2021,7,31]],"date-time":"2021-07-31T03:02:39Z","timestamp":1627700559000},"page":"631-643","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["From HRI to CRI: Crowd Robot Interaction\u2014Understanding the Effect of Robots on Crowd Motion"],"prefix":"10.1007","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1345-2148","authenticated-orcid":false,"given":"Bingqing","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Javad","family":"Amirian","sequence":"additional","affiliation":[]},{"given":"Harry","family":"Eberle","sequence":"additional","affiliation":[]},{"given":"Julien","family":"Pettr\u00e9","sequence":"additional","affiliation":[]},{"given":"Catherine","family":"Holloway","sequence":"additional","affiliation":[]},{"given":"Tom","family":"Carlson","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,7,31]]},"reference":[{"key":"812_CR1","doi-asserted-by":"crossref","unstructured":"Alahi A, Goel K, Ramanathan V, Robicquet A, Fei-Fei L, Savarese S (2016) Social LSTM: human trajectory prediction in crowded spaces. 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