Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/117338
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | School of Design | - |
| dc.creator | Zhang, J | - |
| dc.creator | You, F | - |
| dc.creator | Yang, J | - |
| dc.creator | Zhang, J | - |
| dc.creator | Wang, P | - |
| dc.creator | Wang, H | - |
| dc.creator | Luximon, Y | - |
| dc.date.accessioned | 2026-02-12T04:35:06Z | - |
| dc.date.available | 2026-02-12T04:35:06Z | - |
| dc.identifier.issn | 1044-7318 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/117338 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Taylor & Francis | en_US |
| dc.rights | © 2025 Taylor & Francis Group, LLC | en_US |
| dc.rights | This 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.subject | Automated driving | en_US |
| dc.subject | Cooperative interface | en_US |
| dc.subject | Goal collaboration | en_US |
| dc.subject | Human-machine interface | en_US |
| dc.title | Find my friend : an innovative cooperative approach of real-time goal collaboration in automated driving | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 11169 | - |
| dc.identifier.epage | 11191 | - |
| dc.identifier.volume | 41 | - |
| dc.identifier.issue | 17 | - |
| dc.identifier.doi | 10.1080/10447318.2024.2440985 | - |
| dcterms.abstract | Real-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.accessRights | open access | en_US |
| dcterms.bibliographicCitation | International journal of human-computer interaction, 2025, v. 41, no. 17, p. 11169-11191 | - |
| dcterms.isPartOf | International journal of human-computer interaction | - |
| dcterms.issued | 2025 | - |
| dc.identifier.scopus | 2-s2.0-85214418843 | - |
| dc.identifier.eissn | 1532-7590 | - |
| dc.description.validate | 202602 bcjz | - |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.SubFormID | G000956/2025-12 | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This work was supported partially by P0050655 and P0042701 from Non-PAIR Research Centres of The Hong Kong Polytechnic University. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Zhang_Find_My_Friend.pdf | Pre-Published version | 9.48 MB | Adobe PDF | View/Open |
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