증강현실 내비게이션의 인지적.행동적 영향에 관한 연구 = Cognitive and Behavioral Effects of Augmented Reality Navigation System

다국어 초록 (Multilingual Abstract)

Navigation system providing route-guidance and traffic information is one of the most widely used driver-support system these days. Most of the navigation system is based on the 2D map paradigm so the information is ed and encoded from the real world. As a result it imposes a cognitive burden to the driver to interpret and translate the ed information to real world information. As a new concept of navigation system, augmented-reality navigation system (AR navigation) is suggested recently. It provides navigational guidance by imposing graphical information on real image captured by camera mounted on a vehicle in real-time. The ultimate goal of navigation system is to assist the driving task with least driving workload whether it is based on the abstracted graphic paradigm or realistic image paradigm. In this paper, we describe the comparative studies on how map navigation and AR navigation affect for driving tasks by experimental research. From the result of this research we obtained a basic knowledge about the two paradigms of navigation systems. On the basis of this knowledge, we are going to find the optimal design of navigation system supporting driving task most effectively, by analyzing characteristics of driving tasks and navigational information from the human-vehicle interface point of view.

참고문헌 (Reference)

1 Levine, M., "The Placement and Misplacement of You-Are-Here Maps" 16 : 139-157, 1984

2 Lee, J., "Studying the Effectiveness of MOVE: A Contextually Optimized In-Vehicle Navigation System" 571-580, 2005

3 Foyle, D. C., "Situation Awareness in an Augmented Reality Cockpit: Design, Viewpoints and Cognitive Glue" 2005

4 Hu, Z., "Real-time Data Fusion on Tracking Camera Pose for Direct Visual Guidance" 2004

5 Jang, S., "Location-based Augmented Reality for Car Navigation System" KAIST 2004

6 Wickens, C. D., "Information Processing, in Handbook of Human Factors and Ergonomics, 3rd Ed" John Wiley & Sons 2006

7 "Hancock, A. P. (2001), Stress, Workload, and Fatigue, Lawrence Erlbaum Associates, chapter 2.5"

8 Kawasaki, H., "Enhanced Navigation System with Real Images and Real-time Information" 2001

9 Uang, S., "Effects on Driving Behavior of Congestion Information and of Scale of Invehicle Navigation System" 11C : 423-438, 2003

10 Kim, B., "Driving Condition and Modality Effect of In-Vehicle Navigation System on Driving Performance and Mental Workload" 13 (13): 23-40, 2000

11 Sullivan, J. M., "Driver Performance and Workload Using a Night Vision System, UMTRI-2004-8" 2004

12 Wickens, C. D., "Design Applications of Visual Spatial Thinking: The Importance of Frame of reference, in Handbook of Visual Spatial Thinking" Oxford University Press 2005

13 Nielsen, C. W., "Comparing the Usefulness of Video and Map Information in Navigation Tasks" 2006

14 Reitmayr, G., "Collaborative Augmented Reality for Outdoor Navigation and Information Browsing" 2004

15 Thomas H. K, "Augmented Videos and Panoramas for Pedestrian Navigation" 2004

16 Benton,C., "Augmented Reality for Maritime Navigation: The Next Generation of Electronic Navigational Aids" 2004

17 Levy, M., "ARS VEHO: Augmented Reality Systems for Vehicle Operation" 282-289, 2005

18 Tenmoku, R., "A Wearable Augmented Reality System for Navigation Using Positioning Infrastructures and a Pedometer" 2003

19 Lee, J., "A Study on Driver’s Information Characteristics: Perspective of Engineering Psychology" 20 (20): 63-87, 2001

20 Narzt, W., "A New Visualization Concept for Navigation Systems" 440-451, 2004