Journal article
Directing driver attention with augmented reality cues
Transportation research. Part F, Traffic psychology and behaviour, Vol.16, pp.127-137
01/2013
DOI: 10.1016/j.trf.2012.08.007
PMCID: PMC3891797
PMID: 24436635
Abstract
► Carefully designed augmented reality (AR) cueing will not cause interference. ► AR cueing can potentially improve response time. ► AR cueing can help increase response rate. ► Automation with minimal false alarms and misses will not impair driver responses. ► AR cueing can help drivers with low attentional capacity.
This simulator study evaluated the effects of augmented reality (AR) cues designed to direct the attention of experienced drivers to roadside hazards. Twenty-seven healthy middle-aged licensed drivers with a range of attention capacity participated in a 54mile (1.5h) drive in an interactive fixed-base driving simulator. Each participant received AR cues to potential roadside hazards in six simulated straight (9mile long) rural roadway segments. Drivers were evaluated on response time for detecting a potentially hazardous event, detection accuracy for target (hazard) and non-target objects, and headway with respect to the hazards. Results showed no negative outcomes associated with interference. AR cues did not impair perception of non-target objects, including for drivers with lower attentional capacity. Results showed near significant response time benefits for AR cued hazards. AR cueing increased response rate for detecting pedestrians and warning signs but not vehicles. AR system false alarms and misses did not impair driver responses to potential hazards.
Details
- Title: Subtitle
- Directing driver attention with augmented reality cues
- Creators
- Michelle L Rusch - University of Iowa, College of Medicine, Department of Neurology, 200 Hawkins Drive, Iowa City, IA 52242, United StatesMark C Schall - University of Iowa, College of Medicine, Department of Neurology, 200 Hawkins Drive, Iowa City, IA 52242, United StatesPatrick Gavin - University of Iowa, College of Medicine, Department of Neurology, 200 Hawkins Drive, Iowa City, IA 52242, United StatesJohn D Lee - University of Wisconsin-Madison, Department of Industrial and Systems Engineering, 1513 University Avenue, 3007 Mechanical Engineering, Madison, WI 53706-1572, United StatesJeffrey D Dawson - University of Iowa, Department of Biostatistics, 105 River Street, S-145 CPHB, Iowa City, IA 52242, United StatesShaun Vecera - University of Iowa, Department of Psychology, E125 Seashore Hall, Iowa City, IA 52242, United StatesMatthew Rizzo - University of Iowa, College of Medicine, Department of Neurology, 200 Hawkins Drive, Iowa City, IA 52242, United States
- Resource Type
- Journal article
- Publication Details
- Transportation research. Part F, Traffic psychology and behaviour, Vol.16, pp.127-137
- DOI
- 10.1016/j.trf.2012.08.007
- PMID
- 24436635
- PMCID
- PMC3891797
- NLM abbreviation
- Transp Res Part F Traffic Psychol Behav
- ISSN
- 1369-8478
- eISSN
- 1873-5517
- Publisher
- Elsevier India Pvt Ltd
- Language
- English
- Date published
- 01/2013
- Academic Unit
- Neurology; Public Health Administration; Law, Health Policy and Disability Center; Psychological and Brain Sciences; Iowa Neuroscience Institute; Biostatistics; Public Policy Center (Archive)
- Record Identifier
- 9983997456302771
Metrics
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