No driver, no problem? Exploring safety concerns and human-machine interaction in automated trains

Automated mobility is becoming increasingly prevalent in all modes of transport. While many studies have examined the acceptance and perceived safety of automated cars, research on automated trains is less extensive. This study contributes to this area of research by examining the above factors in relation to demographic variables such as age, gender, technology readiness and frequency of train use, using a questionnaire. The survey received 146 responses from a wide age range. Technology readiness emerged as the most significant factor influencing perceived safety in highly automated trains. Of the various design options presented, a manual emergency stop was found to be particularly conducive to the perception of safety and user trust in automated trains.

Publication Details

Journal
Gesellschaft für Informatik (GI)
Published
2025-01-01
DOI
https://doi.org/10.18420/muc2025-mci-ws01-190
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

No driver, no problem? Exploring safety concerns and human-machine interaction in automated trains

Gesellschaft für Informatik (GI)
Geochemistry and Geologic Mapping
article

No driver, no problem? Exploring safety concerns and human-machine interaction in automated trains

article en

Abstract

Automated mobility is becoming increasingly prevalent in all modes of transport. While many studies have examined the acceptance and perceived safety of automated cars, research on automated trains is less extensive. This study contributes to this area of research by examining the above factors in relation to demographic variables such as age, gender, technology readiness and frequency of train use, using a questionnaire. The survey received 146 responses from a wide age range. Technology readiness emerged as the most significant factor influencing perceived safety in highly automated trains. Of the various design options presented, a manual emergency stop was found to be particularly conducive to the perception of safety and user trust in automated trains.

Gesellschaft für Informatik (GI)
Gender equality
Openalex Percentile: Top 69%
Geochemistry and Geologic Mapping
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