Abstract
The existing research on external human-machine interfaces (eHMIs) targeted at augmenting interactions between automated vehicles (AVs) and pedestrians has primarily concentrated on pedestrian crossings in one-to-one encounters. Nevertheless, in practical situations, pedestrians must assimilate additional information regarding the status of multiple vehicles while crossing. In order to enhance the efficacy of eHMIs in authentic situations, there is a requisite for more succinct and efficient information transmission. In response to this requirement, we have formulated an electronic Human-Machine Interface (eHMI) that is grounded on the Gestalt principle as the fundamental theoretical framework. We have assessed the efficacy of this approach through a series of virtual reality experiments. Our findings reveal that this Gestalt-oriented eHMI has superior scalability as compared to conventional eHMI designs. The implications of our results indicate the potential for utilizing the gestalt effect to effectively communicate the collective intentions of a fleet of vehicles in forthcoming eHMI designs. Moreover, our emphasis on scalability underscores the criticality of developing interfaces capable of communicating information adeptly in intricate and fluid circumstances.
Keywords
External human-machine interface; vehicle-pedestrian interaction; Automated vehicles; Gestalt principles
DOI
https://doi.org/10.21606/iasdr.2023.555
Citation
Gao, Y., Wang, L.,and Zhang, Z.(2023) Scalable eHMI: Automated vehicles-pedestrian interactions design based on gestalt principles, in De Sainz Molestina, D., Galluzzo, L., Rizzo, F., Spallazzo, D. (eds.), IASDR 2023: Life-Changing Design, 9-13 October, Milan, Italy. https://doi.org/10.21606/iasdr.2023.555
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Scalable eHMI: Automated vehicles-pedestrian interactions design based on gestalt principles
The existing research on external human-machine interfaces (eHMIs) targeted at augmenting interactions between automated vehicles (AVs) and pedestrians has primarily concentrated on pedestrian crossings in one-to-one encounters. Nevertheless, in practical situations, pedestrians must assimilate additional information regarding the status of multiple vehicles while crossing. In order to enhance the efficacy of eHMIs in authentic situations, there is a requisite for more succinct and efficient information transmission. In response to this requirement, we have formulated an electronic Human-Machine Interface (eHMI) that is grounded on the Gestalt principle as the fundamental theoretical framework. We have assessed the efficacy of this approach through a series of virtual reality experiments. Our findings reveal that this Gestalt-oriented eHMI has superior scalability as compared to conventional eHMI designs. The implications of our results indicate the potential for utilizing the gestalt effect to effectively communicate the collective intentions of a fleet of vehicles in forthcoming eHMI designs. Moreover, our emphasis on scalability underscores the criticality of developing interfaces capable of communicating information adeptly in intricate and fluid circumstances.