Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117338
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dc.contributorSchool of Design-
dc.creatorZhang, J-
dc.creatorYou, F-
dc.creatorYang, J-
dc.creatorZhang, J-
dc.creatorWang, P-
dc.creatorWang, H-
dc.creatorLuximon, Y-
dc.date.accessioned2026-02-12T04:35:06Z-
dc.date.available2026-02-12T04:35:06Z-
dc.identifier.issn1044-7318-
dc.identifier.urihttp://hdl.handle.net/10397/117338-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2025 Taylor & Francis Group, LLCen_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Human–Computer Interaction on 7 Jan 2025 (published online), available at: https://doi.org/10.1080/10447318.2024.2440985.en_US
dc.subjectAutomated drivingen_US
dc.subjectCooperative interfaceen_US
dc.subjectGoal collaborationen_US
dc.subjectHuman-machine interfaceen_US
dc.titleFind my friend : an innovative cooperative approach of real-time goal collaboration in automated drivingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage11169-
dc.identifier.epage11191-
dc.identifier.volume41-
dc.identifier.issue17-
dc.identifier.doi10.1080/10447318.2024.2440985-
dcterms.abstractReal-time goal collaboration represents a promising approach to human-vehicle cooperative driving; however, it remains underexplored. To address this gap, we introduced an innovative human-vehicle cooperative approach and designed four interactive types with increasing autonomous levels to implement it. Additionally, we proposed seven interface design principles to design three increasing levels of transparency for the four interactive types, aiming to enhance collaboration. Experimental results demonstrate the favorable reception of the proposed cooperative approach by users. Furthermore, higher interactive autonomous levels result in reduced workload, and higher interface transparency levels lead to increased satisfaction, trust, and mutual dependence. Notably, the combination of the highest interactive autonomous level and interface transparency level, which exhibited the best performance, is recommended for practical application. This collaborative approach expands the research domain of human-vehicle cooperative driving and offers extensive potential applications across various relevant scenarios.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of human-computer interaction, 2025, v. 41, no. 17, p. 11169-11191-
dcterms.isPartOfInternational journal of human-computer interaction-
dcterms.issued2025-
dc.identifier.scopus2-s2.0-85214418843-
dc.identifier.eissn1532-7590-
dc.description.validate202602 bcjz-
dc.description.oaAccepted Manuscripten_US
dc.identifier.SubFormIDG000956/2025-12en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported partially by P0050655 and P0042701 from Non-PAIR Research Centres of The Hong Kong Polytechnic University.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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