journal article·2021-08-04Open access

An Augmented Warning System for Pedestrians: User Interface Design and Algorithm Development

Yourui Tong, Bochen Jia, Shan Bao

Applied Sciences· Volume 11· Issue 16

Abstract

Warning pedestrians of oncoming vehicles is critical to improving pedestrian safety. Due to the limitations of a pedestrian’s carrying capacity, it is crucial to find an effective solution to provide warnings to pedestrians in real-time. Limited numbers of studies focused on warning pedestrians of oncoming vehicles. Few studies focused on developing visual warning systems for pedestrians through wearable devices. In this study, various real-time projection algorithms were developed to provide accurate warning information in a timely way. A pilot study was completed to test the algorithm and the user interface design. The projection algorithms can update the warning information and correctly fit it into an easy-to-understand interface. By using this system, timely warning information can be sent to those pedestrians who have lower situational awareness or obstructed view to protect them from potential collisions. It can work well when the sightline is blocked by obstructions.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Safety Warnings and Signage · Human-Automation Interaction and Safety · Traffic and Road Safety

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn, Dearborn, MI 48127, USA

Funding

Michigan Mobility Transformation Center

References (33)

Show source-provided references
1. World Health Organization (2021, June 26). Road Traffic Injuries. 27 April 2020. Available online: https://www.who.int/health-topics/road-safety#tab=tab_1.
2. Peden, M., Scurfield, R., Sleet, D., Mathers, C., Jarawan, E., Hyder, A.A., Hyder, A.A., Mohan, D., and Jarawan, E. (2004). World Report on Road Traffic Injury Prevention, World Health Organization.
3. Retting, R., and Schwartz, S. (2017). Pedestrian Traffic Fatalities by State: 2017 Preliminary Data, Governors Highway Safety Association.
4. Technology-related distracted walking behaviours in Manhattan’s most dangerous intersections10.1136/injuryprev-2013-041063 ↗
5. Pedestrian injuries due to mobile phone use in public places10.1016/j.aap.2013.03.021 ↗
6. National Transportation Safety Board (2018). Preliminary Report Highway HWY18MH010, National Transportation Safety Board.
7. Pedestrian Detection: An Evaluation of the State of the Art10.1109/TPAMI.2011.155 ↗
8. Dhondge, K., Song, S., Choi, B.-Y., and Park, H. (2014, January 18–21). WiFiHonk: Smartphone-Based Beacon Stuffed WiFi Car2X-Communication System for Vulnerable Road User Safety. Proceedings of the 2014 IEEE 79th Vehicular Technology Conference (VTC Spring), Seoul, Korea.10.1109/VTCSpring.2014.7023146 ↗
9. Wang, T., Cardone, G., Corradi, A., Torresani, L., and Campbell, A.T. (2012, January 28–29). WalkSafe: A pedestrian safety app for mobile phone users who walk and talk while crossing roads. Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications-HotMobile ’12, San Diego, CA, USA.10.1145/2162081.2162089 ↗
10. Multimodal information presentation: Design guidance and research challenges10.1016/j.ergon.2006.01.007 ↗
11. How drivers respond to visual vs. auditory information in advisory traffic information systems10.1080/0144929X.2019.1667439 ↗
12. Costanza, E., Inverso, S.A., Pavlov, E., Allen, R., and Maes, P. (2006, January 12–15). eye-q: Eyeglass peripheral display for subtle intimate notifications. Proceedings of the 8th Conference on Human-Computer Interaction with Mobile Devices and Services-MobileHCI ’06, Helsinki, Finland.10.1145/1152215.1152261 ↗
13. Caudell, T.P., and Mizell, D.W. (1992, January 7–10). Augmented reality: An application of heads-up display technology to manual manufacturing processes. Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences, Kauai, HI, USA.10.1109/HICSS.1992.183317 ↗
14. Augmented reality technologies, systems and applications10.1007/s11042-010-0660-6 ↗
15. Henrysson, A., Ollila, M., and Billinghurst, M. (2005, January 8–10). Mobile phone based AR scene assembly. Proceedings of the 4th International Conference on Mobile and Ubiquitous Multimedia-MUM ’05, Christchurch, New Zealand.10.1145/1149488.1149504 ↗
16. Kim, H., Wu, X., Gabbard, J.L., and Polys, N.F. (2013, January 28–30). Exploring head-up augmented reality interfaces for crash warning systems. Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications-AutomotiveUI’13, Eindhoven, The Netherlands.10.1145/2516540.2516566 ↗
17. Plavsic, M., Bubb, H., Duschl, M., Tonnis, M., and Klinker, G. (2009, January 9–14). Ergonomic Design and Evaluation of Augmented Reality Based Cautionary Warnings for Driving Assistance in Urban Environments. Presented at the 17th World Congress on Ergonomics (International Ergonomics Association, IEA), Beijing, China.
18. Google (2021, June 26). GLASS ENTERPRISE EDITION 2 Tech Specs. 22 July 2021. Available online: https://www.google.com/glass/tech-specs/.
19. Dünser, A., Grasset, R., Seichter, H., and Billinghurst, M. (2007, January 11). Applying HCI Principles to AR Systems Design. Presented at the 2nd International Workshop at the IEEE Virtual Reality 2007, Charlotte, NC, USA.
20. Boff, K.R., and Lincoln, J.E. (1986). Engineering Data Compendium: Human Perception and Performance, John Wiley and Sons.
21. Gregory, R.L. (1970). The Intelligent Eye, Weidenfeld & Nicolson.
22. Galitz, W.O. (1997). The essential Guide to User Interface Design, Wiley.
23. Clifton, I.G. (2013). Android user Interface Design: Turning Ideas and Sketches into Beautifully Designed Apps, Addison-Wesley.
24. Research-based guidelines for warning design and evaluation10.1016/S0003-6870(02)00009-1 ↗
25. Consumer Products: How are the Hazards Perceived?10.1177/154193128703100530 ↗
26. Effectiveness of Warnings10.1177/001872088702900509 ↗
27. An Augmented-reality-based Warning Interface for Pedestrians: User Interface Design and Evaluation10.1177/1071181319631413 ↗
28. Turner, A., Zeller, M., Cowley, E., and Bray, B. (2021, June 26). Hologram stability. Microsoft, 3 July 2018. Available online: https://docs.microsoft.com/en-us/windows/mixed-reality/hologram-stability.
29. Correspondence estimation in image pairs10.1109/79.768571 ↗
30. Maynard, P. (2005). Drawing Distinctions: The Varieties of Graphic Expression, Cornell Univ. Press.10.7591/9781501728624 ↗
31. Object Pose: The Link between Weak Perspective, Paraperspective and Full Perspective10.1023/A:1007940112931 ↗
32. Sonka, M., Hlavac, V., and Boyle, R. (1999). Image Processing, Analysis, and Machine Vision, PWS Pub.. [2nd ed.].
33. Sony (2021, June 26). Smarteyeglass-Sed-E1 Specifications. Available online: https://developer.sony.com/develop/smarteyeglass-sed-e1/specifications.