Driver acceptance of pedestrian alerts by a night vision system
2011 (English)In: Human Factors, ISSN 0018-7208Article in journal (Other academic) Submitted
Objective: We investigated driver acceptance of alerts to pedestrian alerts issued by a night vision active safety system with pedestrian detection functionality using a method that leverages scarce and expensive field operational test data.
Background: Driver acceptance of automotive active safety systems is a key factor to promote system use and implies a need for a method to assess factors influencing driver acceptance.
Method: In a field operational test, ten drivers drove instrumented vehicles equipped with a preproduction night vision system with pedestrian detection software. In a follow-up experiment, the 10 drivers and 25 additional volunteers without experience with the system watched 57 clips with pedestrian encounters gathered during the field operational test. They rated the acceptance of an alert to each pedestrian encounter.
Results: Levels of rating concordance were significant between drivers who experienced the encounters and participants who did not. Two contextual variables, pedestrian location and motion, were found to influence ratings.
Conclusion: The subjective acceptance rating method provides consistent measures of acceptance in a controlled environment and makes it possible to leverage expensive field operational test data within the confines of the laboratory.
Application: The study identifies sources of contextual sensitivity to alerts issued by an active safety system and demonstrates the utility of using subjective driver acceptance criteria to inform active safety system design.
Place, publisher, year, edition, pages
Alert acceptance, active safety systems, knowledge elicitation, driver behavior, automation.
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-68105OAI: oai:DiVA.org:liu-68105DiVA: diva2:416288