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The impact of in-car human-machine interface prompt locations on driver attention resource redistribution: An event-related potential study

Transportation Research Interdisciplinary Perspectives
Transportation Research Interdisciplinary Perspectives Vol. 34 2025-10-24


Authors

Shirui Wang, Yoshihiro Shimomura, Feng Shi, Yuanli Li, Jingshi Huang

  https://doi.org/10.1016/j.trip.2025.101691

Abstract


Highlights Early ERP components assess attention priority in vehicle HMI during driving. • Lower-left HMI position captures driver attention fastest, with higher P1 amplitude. • P1 component best assesses driver attention allocation in HMI. • Priority: lower-left, lower-right, upper-right, upper-left, defies traditional design. Abstract As transportation systems become more intelligent, the allocation of attention within in-vehicle Human-Machine Interfaces (HMIs) has emerged as a key research focus. This study employed a two-phase design. In the preparatory phase, a behavioral dual-task experiment (N = 31) and a questionnaire survey (N = 137) were conducted to identify realistic attentional hotspots and high-priority functions. Building on these findings, an event-related potential (ERP) experiment was carried out with 12 participants (4 males) to examine attention allocation across different cueing spaces. By recording electroencephalogram (EEG) activity in response to varied prompt location, the study evaluated spatial prioritization and explored how drivers distribute attention within interfaces. The results revealed an attentional bias toward the lower-left area, with significantly larger P1 amplitudes (p = 0.005) in the frontal cortex. These findings provides preliminary neurophysiological evidence that spatial prioritization exists in in-vehicle HMIs design and influences cognitive evaluation. Early ERP components were also sensitive to this phenomenon. Collectively, the results enrich understanding of attention and cognition in vehicle interfaces and offer baseline evidence for optimizing spatial information layout to reduce cognitive load and inform safer interface design. Keywords in-vehicle HMI ERP Attention resource P1 component Visual search

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