Paper Info
Title
Effects On Productivity And Safety Of Map And Augmented Reality Navigation Paradigms
Abstract
Navigation systems providing route-guidance and traffic information are one of the most widely used driver-support systems these days. Most navigation systems are based on the map paradigm which plots the driving route in an abstracted version of a two-dimensional electronic map. Recently, a new navigation paradigm was introduced that is based on the augmented reality (AR) paradigm which displays the driving route by superimposing virtual objects on the real scene. These two paradigms have their own innate characteristics from the point of human cognition, and so complement each other rather than compete with each other. Regardless of the paradigm, the role of any navigation system is to support the driver in achieving his driving goals. The objective of this work is to investigate how these map and AR navigation paradigms impact the achievement of the driving goals: productivity and safety. We performed comparative experiments using a driving simulator and computers with 38 subjects. For the effects on productivity, driver's performance on three levels (control level, tactical level, and strategic level) of driving tasks was measured for each map and AR navigation condition. For the effects on safety, driver's situation awareness of safety-related events on the road was measured. To find how these navigation paradigms impose visual cognitive workload on driver, we tracked driver's eye-movements. As a special factor of driving performance, route decision making at the complex decision points such as junction, overpass, and underpass was investigated additionally. Participant's subjective workload was assessed using the Driving Activity Load Index (DALI). Results indicated that there was little difference between the two navigation paradigms on driving performance. AR navigation attracted driver's visual attention more frequently than map navigation and then reduces awareness of and proper action for the safety-related events. AR navigation was faster and better to support route decision making at the complex decision points. According to the subjective workload assessment, AR navigation was visually and temporally more demanding.
Year
DOI
Venue
2011
10.1587/transinf.E94.D.1051
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Keywords
Field
DocType
map navigation, AR navigation, productivity, safety, driving performance and situation awareness
Driving simulator,Navigational aid,Situation awareness,Computer science,Augmented reality,Human–computer interaction,Artificial intelligence,Computer vision,Simulation,Decision support system,Navigation system,Turn-by-turn navigation,Mobile robot navigation
Journal
Volume
Issue
ISSN
E94D
5
0916-8532
Citations 
PageRank 
References 
4
0.60
6
Authors
2
Name
Order
Citations
PageRank
Kyong-ho Kim1153.57
KwangYun Wohn230942.24