Journal article
Augmented reality cues and elderly driver hazard perception
Human factors, Vol.55(3), pp.643-658
06/2013
DOI: 10.1177/0018720812462029
PMCID: PMC3875361
PMID: 23829037
Abstract
The aim of this study was to evaluate the effectiveness of augmented reality (AR) cues in improving driving safety among elderly drivers who are at increased crash risk because of cognitive impairments.
Cognitively challenging driving environments pose a particular crash risk for elderly drivers. AR cuing is a promising technology to mitigate risk by directing driver attention to roadway hazards. We investigate whether AR cues improve or interfere with hazard perception in elderly drivers with age-related cognitive decline.
A total of 20 elderly (M = 73 years, SD = 5) licensed drivers with a range of cognitive abilities measured by a speed-of-processing (SOP) composite participated in a 1-hr drive in an interactive, fixed-base driving simulator. Each participant drove through six straight, 6-mile-long, rural roadway scenarios following a lead vehicle. AR cues directed attention to potential roadside hazards in three of the scenarios, and the other three were uncued (baseline) drives. Effects of AR cuing were evaluated with respect to (a) detection of hazardous target objects, (b) interference with detecting nonhazardous secondary objects, and (c) impairment in maintaining safe distance behind a lead vehicle.
AR cuing improved the detection of hazardous target objects of low visibility. AR cues did not interfere with detection of nonhazardous secondary objects and did not impair ability to maintain safe distance behind a lead vehicle. SOP capacity did not moderate those effects.
AR cues show promise for improving elderly driver safety by increasing hazard detection likelihood without interfering with other driving tasks, such as maintaining safe headway.
Details
- Title: Subtitle
- Augmented reality cues and elderly driver hazard perception
- Creators
- Mark C Schall Jr - University of Iowa, Department of Mechanical and Industrial Engineering, 200 Hawkins Dr., Iowa City, IA 52242, USA. mark-schall@uiowa.eduMichelle L RuschJohn D LeeJeffrey D DawsonGeb ThomasNazan AksanMatthew Rizzo
- Resource Type
- Journal article
- Publication Details
- Human factors, Vol.55(3), pp.643-658
- DOI
- 10.1177/0018720812462029
- PMID
- 23829037
- PMCID
- PMC3875361
- NLM abbreviation
- Hum Factors
- ISSN
- 0018-7208
- eISSN
- 1547-8181
- Publisher
- United States
- Grant note
- R01 AG017177 / NIA NIH HHS R01AG026027 / NIA NIH HHS R01 AG026027 / NIA NIH HHS
- Language
- English
- Date published
- 06/2013
- Academic Unit
- Neurology; Public Health Administration; Law, Health Policy and Disability Center; Biostatistics; Orthopedics and Rehabilitation; Industrial and Systems Engineering; Public Policy Center (Archive)
- Record Identifier
- 9983997357202771
Metrics
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