Augmented Reality in Transportation
AR head-up displays (AR HUD) interfaces provide a fundamentally new driving experience, but we currently do not know how to design safe and effective user interfaces in this space. Extant methods for evaluating the effectiveness of computer-based user interfaces are arguably not rich enough to capture the total effects of AR HUD interfaces on human performance. Without new methods, we are left to base user interface design and assessment on our current understanding with traditional HMI systems and/or in-vehicle information systems (IVIS). Thus, as we start designing new AR HUD displays, we must also develop new measures of effectiveness.
In this research, we explore:
- Measures for quantifying the effects of AR HUD design on visual attention & distraction
- How driving performance is impacted by AR HUD usage
- Interface design and assessment methods for increased situation awareness
- Selective, focused & divided attention
- Missie Smith, Nadejda Doutcheva, Gary Burnett & Joseph L. Gabbard, (2016), “Visual Search Task Performance Using Headup Displays in Driving”, International Journal of Mobile Human Computer Interaction. IGI Global.
- Missie Smith & Joseph L. Gabbard, (2016), “Extending Measures and Metrics of Visual Distraction with Automotive Head-up Display Applications”, 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications.
- Hyungil Kim & Joseph L. Gabbard, (2016), “Virtual Shadow: Making Cross Traffic Dynamics Visible through Augmented Reality Head Up Display”, Proceedings of the Human Factors and Ergonomics Society Annual Meeting (HFES).
- Missie Smith, Jill Streeter, Gary Burnett & Joseph L. Gabbard (2015), “Visual Search Tasks: the Effects of Head-up Displays on Driving and Task Performance”, Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 80-87. ACM.
- Joseph L. Gabbard, Gregory M. Fitch and Hyungil Kim (2014). "Behind the Glass: Driver Challenges and Opportunities for AR Automotive Applications", Proceedings of the IEEE 102.2, 124-136.