{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T05:24:44Z","timestamp":1777872284638,"version":"3.51.4"},"reference-count":32,"publisher":"Public Library of Science (PLoS)","issue":"4","license":[{"start":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T00:00:00Z","timestamp":1777507200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>This study explores the question: \u201cCan changing the appearance of drones through AR influence user operational behavior and impressions of drones?\u201d To the best of our knowledge, this is the first study to empirically examine the influence of AR-based appearance modification of drones on user perception and operational behavior. To investigate this, a method is proposed to modify the appearance of drones by projecting objects onto them using Augmented Reality (AR), and its effects are evaluated through subjective experiments involving a relatively large number of participants. Data for drone operation and survey responses are collected from participants and analyzed using factor analysis. The factor scores are then compared between the conditions with and without AR-based appearance modification. The results do not indicate significant differences in factors related to the number of operations, suggesting consistency in this aspect. However, significant differences are observed in factors related to appearance and social evaluation (age, animal likeness, gender), as well as in physical characteristics (e.g., size, weight) of drones. In addition, open-ended survey responses reveal notable differences in appearance assessment. These findings demonstrate the potential of this method to improve the social acceptance of drone technology, particularly in the context of this research.<\/jats:p>","DOI":"10.1371\/journal.pone.0346937","type":"journal-article","created":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T17:38:37Z","timestamp":1777570717000},"page":"e0346937","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing user perception and drone flight control through AR-based object projection"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5969-463X","authenticated-orcid":true,"given":"Runa","family":"Sawayama","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hajime","family":"Nobuhara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2026,4,30]]},"reference":[{"key":"pone.0346937.ref001","doi-asserted-by":"crossref","unstructured":"Ueda J, Okajima K. 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How AR filters impact people\u2019s self-image. 2021."},{"key":"pone.0346937.ref015","doi-asserted-by":"crossref","DOI":"10.1145\/2578153.2578156","volume-title":"The Use of Gaze to Control Drones","author":"J Hansen","year":"2014"},{"key":"pone.0346937.ref016","doi-asserted-by":"crossref","unstructured":"Suarez Fernandez RA. Natural user interfaces for human-drone interaction. In: ICUAS; 2016. pp. 1013\u201322.","DOI":"10.1109\/ICUAS.2016.7502665"},{"key":"pone.0346937.ref017","volume-title":"AR Interaction Interface for Autonomous Drone","author":"C Liu","year":"2020"},{"key":"pone.0346937.ref018","unstructured":"Kortenkamp DEA. Evaluating an AR interface for drone search. In: HRI Workshop; 2024."},{"key":"pone.0346937.ref019","article-title":"UAV path planning assisted by AR","author":"a Mourtzis D e","year":"2023","journal-title":"Int J Prod Res"},{"issue":"2","key":"pone.0346937.ref020","doi-asserted-by":"crossref","first-page":"43","DOI":"10.3390\/drones6020043","article-title":"Drone control in AR","volume":"6","author":"K Konstantoudakis","year":"2022","journal-title":"Drones"},{"key":"pone.0346937.ref021","volume-title":"Multi-view AR with a drone","author":"A Hitchcock","year":"2018"},{"key":"pone.0346937.ref022","unstructured":"Ginosar E, Cauchard J. Expressive Lights for Drone Communication. In: CHI; 2023."},{"issue":"3","key":"pone.0346937.ref023","article-title":"Designing drones","volume":"3","author":"A Wojciechowska","year":"2019","journal-title":"IMWUT"},{"key":"pone.0346937.ref024","unstructured":"Iea W. Adoption of drone food delivery. Sustainability. 2022."},{"key":"pone.0346937.ref025","article-title":"Public acceptance of drone applications","volume":"64","author":"LKL Tan","year":"2021","journal-title":"Technol Soc"},{"key":"pone.0346937.ref026","unstructured":"Tom NM. Why drone delivery is not ready. Int Bus Res. 2020."},{"key":"pone.0346937.ref027","unstructured":"Lohse MEA. Appearance and application of robots. 2007."},{"key":"pone.0346937.ref028","doi-asserted-by":"crossref","unstructured":"Li D, Rau P, Li Y. Effect of robot appearance and task. Int J Soc Robot. 2010.","DOI":"10.1007\/s12369-010-0056-9"},{"key":"pone.0346937.ref029","unstructured":"Umar T, Egbu C. Perceptions on safety climate. ICE Manage Procure Law. 2018."},{"key":"pone.0346937.ref030","unstructured":"Umar T. Improving safety performance in construction. 2020."},{"key":"pone.0346937.ref031","unstructured":"Umar T, Umeokafor N. Safety climate assessment tool. IJSSMET. 2022."},{"key":"pone.0346937.ref032","unstructured":"Umar T. Applications of drones for safety inspection. 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