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AR DriveSim: An Immersive Driving Simulator for Augmented Reality Head-Up Display Research

Optical see-through automotive head-up displays (HUDs) are a form of augmented reality (AR) that is quickly gaining penetration into the consumer market. Despite increasing adoption, demand, and competition among manufacturers to deliver higher quality HUDs with increased fields of view, little work...

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Detalles Bibliográficos
Autores principales: Gabbard, Joseph L., Smith, Missie, Tanous, Kyle, Kim, Hyungil, Jonas, Bryan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805674/
https://www.ncbi.nlm.nih.gov/pubmed/33501113
http://dx.doi.org/10.3389/frobt.2019.00098
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author Gabbard, Joseph L.
Smith, Missie
Tanous, Kyle
Kim, Hyungil
Jonas, Bryan
author_facet Gabbard, Joseph L.
Smith, Missie
Tanous, Kyle
Kim, Hyungil
Jonas, Bryan
author_sort Gabbard, Joseph L.
collection PubMed
description Optical see-through automotive head-up displays (HUDs) are a form of augmented reality (AR) that is quickly gaining penetration into the consumer market. Despite increasing adoption, demand, and competition among manufacturers to deliver higher quality HUDs with increased fields of view, little work has been done to understand how best to design and assess AR HUD user interfaces, and how to quantify their effects on driver behavior, performance, and ultimately safety. This paper reports on a novel, low-cost, immersive driving simulator created using a myriad of custom hardware and software technologies specifically to examine basic and applied research questions related to AR HUDs usage when driving. We describe our experiences developing simulator hardware and software and detail a user study that examines driver performance, visual attention, and preferences using two AR navigation interfaces. Results suggest that conformal AR graphics may not be inherently better than other HUD interfaces. We include lessons learned from our simulator development experiences, results of the user study and conclude with limitations and future work.
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spelling pubmed-78056742021-01-25 AR DriveSim: An Immersive Driving Simulator for Augmented Reality Head-Up Display Research Gabbard, Joseph L. Smith, Missie Tanous, Kyle Kim, Hyungil Jonas, Bryan Front Robot AI Robotics and AI Optical see-through automotive head-up displays (HUDs) are a form of augmented reality (AR) that is quickly gaining penetration into the consumer market. Despite increasing adoption, demand, and competition among manufacturers to deliver higher quality HUDs with increased fields of view, little work has been done to understand how best to design and assess AR HUD user interfaces, and how to quantify their effects on driver behavior, performance, and ultimately safety. This paper reports on a novel, low-cost, immersive driving simulator created using a myriad of custom hardware and software technologies specifically to examine basic and applied research questions related to AR HUDs usage when driving. We describe our experiences developing simulator hardware and software and detail a user study that examines driver performance, visual attention, and preferences using two AR navigation interfaces. Results suggest that conformal AR graphics may not be inherently better than other HUD interfaces. We include lessons learned from our simulator development experiences, results of the user study and conclude with limitations and future work. Frontiers Media S.A. 2019-10-23 /pmc/articles/PMC7805674/ /pubmed/33501113 http://dx.doi.org/10.3389/frobt.2019.00098 Text en Copyright © 2019 Gabbard, Smith, Tanous, Kim and Jonas. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Gabbard, Joseph L.
Smith, Missie
Tanous, Kyle
Kim, Hyungil
Jonas, Bryan
AR DriveSim: An Immersive Driving Simulator for Augmented Reality Head-Up Display Research
title AR DriveSim: An Immersive Driving Simulator for Augmented Reality Head-Up Display Research
title_full AR DriveSim: An Immersive Driving Simulator for Augmented Reality Head-Up Display Research
title_fullStr AR DriveSim: An Immersive Driving Simulator for Augmented Reality Head-Up Display Research
title_full_unstemmed AR DriveSim: An Immersive Driving Simulator for Augmented Reality Head-Up Display Research
title_short AR DriveSim: An Immersive Driving Simulator for Augmented Reality Head-Up Display Research
title_sort ar drivesim: an immersive driving simulator for augmented reality head-up display research
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805674/
https://www.ncbi.nlm.nih.gov/pubmed/33501113
http://dx.doi.org/10.3389/frobt.2019.00098
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