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A Visual Front-of-Vehicle eHMI increases Pedestrian Trust into Automated Vehicles

Rass, Jordan Karl Elias (2025) A Visual Front-of-Vehicle eHMI increases Pedestrian Trust into Automated Vehicles.

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Abstract:The introduction of automated vehicles (AVs) raises critical questions about enabling effective communication with vulnerable road users (VRUs), such as pedestrians and cyclists, to foster trust and ensure safety. This study investigated how ten messages displayed in cyan on a light-based front-of-vehicle external human-machine interface (eHMI) affected pedestrian trust during interactions with AVs. Twenty-seven participants engaged in a Wizard of Oz (WoZ) within-subjects experiment, completing 20 trials: 10 with an eHMI message and 10 without (baseline). The messages were embedded in five interaction contexts simulating urban traffic scenarios. A Bayesian beta regression model revealed that eHMI messages increased trust, particularly in high-stakes scenarios, such as when the AV displayed “I do not stop.” High variability in trust responses was observed among participants, influenced by individual differences and message content. Some messages, such as “I understand you,” were highly effective in fostering trust, while other messages occasionally decreased trust. Qualitative analysis highlighted that pedestrians often interpreted messages in alignment with anticipated AV behavior. At times, the eHMI evoked positive emotional responses, such as laughter.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology MSc (66604)
Link to this item:https://purl.utwente.nl/essays/105029
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