Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117338
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Title: Find my friend : an innovative cooperative approach of real-time goal collaboration in automated driving
Authors: Zhang, J 
You, F
Yang, J
Zhang, J
Wang, P
Wang, H 
Luximon, Y 
Issue Date: 2025
Source: International journal of human-computer interaction, 2025, v. 41, no. 17, p. 11169-11191
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.
Keywords: Automated driving
Cooperative interface
Goal collaboration
Human-machine interface
Publisher: Taylor & Francis
Journal: International journal of human-computer interaction 
ISSN: 1044-7318
EISSN: 1532-7590
DOI: 10.1080/10447318.2024.2440985
Rights: © 2025 Taylor & Francis Group, LLC
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.
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