Physiological Correlates of Passenger-Facing HMI Communication in Automated Driving

Passenger-facing vehicle interfaces must inform without disrupting non-driving activities. This study related HMI communication during fully automated driving to passenger physiology and interaction quality during concurrent reading. Twenty-six participants completed a no-communication Baseline drive and one HMI drive with abstract auditory-tactile cues (Simple) or synthesised speech (Extended); 24 contributed physiological data. Electrodermal activity (EDA) was the primary measure, with User Experience Questionnaire ratings. Because HMI variant was assigned between participants, participant-level analyses provided primary condition inference. Mean EDA was lower in both HMI conditions than Baseline, but no contrast was statistically supported (Simple–Baseline −73.1, 95% CI [−160.3, 14.0], p = 0.092; Extended–Baseline −44.7, p = 0.296; Extended–Simple 28.4, p = 0.614). No UEQ scale survived multiplicity correction. Segment-level mixed-effects models (803 segments) reproduced this ordering with narrower intervals reflecting repeated observations, not independent assignments. Participant-level contrasts matched the unit of assignment; segment-level models characterised temporal physiological variation.

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Publication Details

Journal
Figshare
Published
2026-11-11
DOI
https://doi.org/10.6084/m9.figshare.34983681
Primary Topic
Human-Automation Interaction and Safety
Type
article
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article

Physiological Correlates of Passenger-Facing HMI Communication in Automated Driving

Gregor Strle, Jaka Sodnik, Kristina Stojmenova Pečečnik
Figshare
Human-Automation Interaction and Safety
article

Physiological Correlates of Passenger-Facing HMI Communication in Automated Driving

Gregor Strle, Jaka Sodnik, Kristina Stojmenova Pečečnik
article en

Abstract

Passenger-facing vehicle interfaces must inform without disrupting non-driving activities. This study related HMI communication during fully automated driving to passenger physiology and interaction quality during concurrent reading. Twenty-six participants completed a no-communication Baseline drive and one HMI drive with abstract auditory-tactile cues (Simple) or synthesised speech (Extended); 24 contributed physiological data. Electrodermal activity (EDA) was the primary measure, with User Experience Questionnaire ratings. Because HMI variant was assigned between participants, participant-level analyses provided primary condition inference. Mean EDA was lower in both HMI conditions than Baseline, but no contrast was statistically supported (Simple–Baseline −73.1, 95% CI [−160.3, 14.0], p = 0.092; Extended–Baseline −44.7, p = 0.296; Extended–Simple 28.4, p = 0.614). No UEQ scale survived multiplicity correction. Segment-level mixed-effects models (803 segments) reproduced this ordering with narrower intervals reflecting repeated observations, not independent assignments. Participant-level contrasts matched the unit of assignment; segment-level models characterised temporal physiological variation.

Figshare
Human-Automation Interaction and Safety
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