Browsing by Author "Burnett, Gary"

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    Informing Design of In-Vehicle Augmented Reality Head-Up Displays and Methods for Assessment
    Smith, Martha Irene (Virginia Tech, 2018-08-23)
    Drivers require a steady stream of relevant but focused visual input to make decisions. Most driving information comes from the surrounding environment so keeping drivers' eyes on the road is paramount. However, important information still comes from in-vehicle displays. With this in mind, there has been renewed recent interest in delivering driving in-formation via head-up display. A head-up display (HUD) can present an image directly on-to the windshield of a vehicle, providing a relatively seamless transition between the display image and the road ahead. Most importantly, HUD use keeps drivers' eyes focused in the direction of the road ahead. The transparent display coupled with a new location make it likely that HUDs provide a fundamentally different driving experience and may change the way people drive, in both good and bad ways. Therefore, the objectives of this work were to 1) understand changes in drivers' glance behaviors when using different types of displays, 2) investigate the impact of HUD position on glance behaviors, and 3) examine the impact of HUD graphic type on drivers' behaviors. Specifically, we captured empirical data regarding changes in driving behaviors, glance behaviors, reported workload, and preferences while driving performing a secondary task using in-vehicle displays. We found that participants exhibited different glance behaviors when using different display types, with participants allocating more and longer glances towards a HUD as compared to a traditional Head-Down Display. However, driving behaviors were not largely affected and participants reported lower workload when using the HUD. HUD location did not cause large changes in glance behaviors, but some driving behaviors were affected. When exam-ining the impact of graphic types on participants, we employed a novel technique for ana-lyzing glance behaviors by dividing the display into three different areas of interest relative to the HUD graphic. This method allowed us to differentiate between graphic types and to better understand differences found in driving behaviors and participant preferences than could be determined with frequently used glance analysis methods. Graphics that were fixed in place rather than animated generally resulted in less time allocated to looking at the graphics, and these changes were likely because the fixed graphics were simple and easy to understand. Ultimately, glance and driving behaviors were affected at some level by the display type, display location, and graphic type as well as individual differences like gender and age.
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    Workshop on Evaluating Augmented Reality in Transportation (EvalAR): A Dialogue Between Researchers and Practitioners
    De Oliveira Faria, Nayara; Gabbard, Joseph L.; Burnett, Gary; Meijering, Valerian (ACM, 2023-09-18)
    The Workshop on Evaluating Augmented Reality in Transportation (EvalAR) brings together researchers and practitioners to address the challenges of evaluating augmented reality head-up displays (AR HUDs) with safety as a priority. With a collaborative approach, this workshop endeavors to shine a spotlight on the unique features of augmented reality, critically examine existing evaluation practices, and collectively identify future hurdles and actionable solutions. Our overarching goal is to collaboratively establish a strategic roadmap that addresses these challenges over the next 3-5 years and beyond. A key highlight of EvalAR is the introduction of the United Nations Economic Commission for Europe (UNECE) and its Working Party on General Safety Provisions to the AutoUI community. This introduction fosters invaluable collaboration and knowledge exchange, enabling researchers and practitioners to leverage each other’s expertise. By facilitating discussions on knowledge and evidence provision, our workshop aims to bolster the academic community’s contributions to regulatory improvements transportation safety. Furthermore, EvalAR actively explores avenues for alignment with global regulations and industry standards, creating a fertile ground for potential collaborations, funding opportunities, and transformative advancements in augmented reality research for enhanced transportation safety.