Impact of Dual-Depth Head-Up Displays on Vehicle Driver Performance
Source abstract
Abstract
In recent years, the display information of head-up displays for vehicles has gradually developed from single-depth to multi-depth. To reduce the workload of driving and the number of eye adjustments, researchers use the visual perception of human eyes to realize the image information integrated with the real world. In this study, HoloLens2 is used to demonstrate head-up displays of different depths. An electroencephalogram, an electro-ophthalmogram, and a NASA-TLX questionnaire were used to evaluate the fatigue of drivers during long-term driving. The results showed that a dual-depth head-up display could effectively reduce the driver’s workload.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Human-Automation Interaction and Safety · Ergonomics and Musculoskeletal Disorders · Older Adults Driving Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Color, Imaging, and Illumination Center, National Taiwan University of Science & Technology, Taipei 106335, Taiwan
Graduate Institute of Photonics and Optoelectronics, Department of Electrical Engineering, National Taiwan University of Science & Technology, Taipei 106335, Taiwan
Department of Photonics, Feng Chia University, Taichung City 407102, Taiwan
Graduate Institute of Applied Science and Technology, National Taiwan University of Science & Technology, Taipei 106335, Taiwan
Funding
National Science and Technology Council. R.O.C
References (36)
Show source-provided references
1. In-Vehicle AR-HUD System to Provide Driving-Safety Information10.4218/etrij.13.2013.0041 ↗
2. Assessing Distraction Potential of Augmented Reality Head-Up Displays for Vehicle Drivers10.1177/0018720819844845 ↗
3. Martens, M., and Van Winsum, W. (2000). Measuring Distraction: The Peripheral Detection Task, TNO Human Factors.
4. Faria, N.d.O. (2020, January 22–26). Evaluating Automotive Augmented Reality Head-up Display Effects on Driver Performance and Distraction. Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Atlanta, GA, USA.
5. Visibility of Head up Display (HUD) for Automobiles10.1177/154193129103502033 ↗
6. A review of channel selection algorithms for EEG signal processing10.1186/s13634-015-0251-9 ↗
7. Weihrauch, M., Meloeny, G.G., and Goesch, T.C. (1989). The First Head Up Display Introduced by General Motors, SAE International. SAE Technical Paper 890288.10.4271/890288 ↗
8. Weintraub, D.J., and Ensing, M. (1992). Human Factors Issues in Head-Up Display Design: The Book of HUD, Crew System Ergonomics Information Analysis Center.
9. Behind the Glass: Driver Challenges and Opportunities for AR Automotive Applications10.1109/JPROC.2013.2294642 ↗
10. Bark, K., Tran, C., Fujimura, K., and Ng-Thow-Hing, V. (2014, January 17–19). Personal Navi: Benefits of an Augmented Reality Navigational Aid Using a See-Thru 3D Volumetric HUD. Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Seattle, WA, USA.10.1145/2667317.2667329 ↗
11. Yost, B., Haciahmetoglu, Y., and North, C. (May, January 28). Beyond visual acuity: The perceptual scalability of information visualizations for large displays. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York, NY, USA.
12. Does Augmented-Reality Head-Up Display Help? A Preliminary Study on Driving Performance Through a VR-Simulated Eye Movement Analysis10.1109/ACCESS.2021.3112240 ↗
13. Cognitive, sensory and physical factors enabling driving safety in older adults10.1016/j.cpr.2004.07.008 ↗
14. The Relationship Between Cognitive/Neuropsychological Factors and Car Driving Performance in Older Adults10.1111/j.1532-5415.2000.tb03880.x ↗
15. Effects of Volumetric Augmented Reality Displays on Human Depth Judgments: Implications for Heads-Up Displays in Transportation
16. Smith, M., Doutcheva, N., Gabbard, J.L., and Burnett, G. (2015, January 23–27). Optical see-through head up displays’ effect on depth judgments of real world objects. Proceedings of the 2015 IEEE Virtual Reality (VR), Arles, France.10.1109/VR.2015.7223465 ↗
17. Dynamic Holography for Automotive Augmented-Reality Head-Up Displays (AR-HUD)10.1002/sdtp.14743 ↗
18. A Perceptual Color-Matching Method for Examining Color Blending in Augmented Reality Head-Up Display Graphics10.1109/TVCG.2020.3044715 ↗
19. Currano, R., Park, S.Y., Moore, D.J., Lyons, K., and Sirkin, D. (2021, January 7–17). Little Road Driving HUD: Heads-Up Display Complexity Influences Drivers’ Perceptions of Automated Vehicles. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, New York, NY, USA.10.1145/3411764.3445575 ↗
20. Near-Eye Display and Tracking Technologies for Virtual and Augmented Reality10.1111/cgf.13654 ↗
21. Vergence–accommodation conflicts hinder visual performance and cause visual fatigue10.1167/8.3.33 ↗
22. Objective evaluation of visual fatigue in VDU workers10.1093/occmed/44.4.201 ↗
23. A study of visual fatigue and visual comfort for 3D HDTV/HDTV images10.1016/S0141-9382(02)00038-0 ↗
24. The effect of mental workload on the visual field size and shape10.1080/001401399185315 ↗
25. Cutting, J.E., and Vishton, P.M. (1995). Perceiving Layout and Knowing Distances: The Integration, Relative Potency, and Con-Textual Use of Different Information about Depth, Academic Press.10.1037/e537272012-268 ↗
26. Schmidt, R.F., and Thews, G. (2013). Physiologie des Menschen, Springer.
27. Blink Rate: A Possible Measure of Fatigue10.1177/001872089403600209 ↗
28. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research10.1016/S0166-4115(08)62386-9 ↗
29. Using EEG spectral components to assess algorithms for detecting fatigue10.1016/j.eswa.2007.12.043 ↗
30. Assessment of driving fatigue based on intra/inter-region phase synchronization10.1016/j.neucom.2016.09.057 ↗
31. The effects of driving environment complexity and dual tasking on drivers’ mental workload and eye blink behavior10.1016/j.trf.2016.04.007 ↗
32. Accommodative Response of Integral Imaging in Near Distance10.1109/JDT.2011.2163701 ↗
33. (2022, August 17). Laser-Based Displays: A Review. Available online: https://opg.optica.org/ao/abstract.cfm?uri=ao-49-25-f79.10.1364/AO.49.000F79 ↗
34. Effects of AR Display Context Switching and Focal Distance Switching on Human Performance10.1109/TVCG.2018.2832633 ↗
35. Kalra, P., and Karar, V. (2022). Impact of Symbology Luminance and Task Complexity on Visual Fatigue in AR Environments. Technology Enabled Ergonomic Design, Nature.10.1007/978-981-16-6982-8_29 ↗
36. Begum, S., Ahmed, M.U., Funk, P., and Filla, R. (2012, January 9–12). Mental state monitoring system for the professional drivers based on Heart Rate Variability analysis and Case- Based Reasoning. Proceedings of the 2012 Federated Conference on Computer Science and Information Systems (FedCSIS), Wroclaw, Poland.