review-article

Exploring the Needs, Preferences, and Concerns of Persons with Visual Impairments Regarding Autonomous Vehicles

Authors:

Julian Brinkley,

Earl W. Huff, Jr.,

Briana Posadas,

Julia Woodward,

Shaundra B. Daily,

Juan E. GilbertAuthors Info & Claims

ACM Transactions on Accessible Computing (TACCESS), Volume 13, Issue 1

Article No.: 3, Pages 1 - 34

https://doi.org/10.1145/3372280

Published: 21 April 2020 Publication History

Abstract

Fully autonomous or “self-driving” vehicles are an emerging technology that may hold tremendous mobility potential for blind or visually impaired persons who are currently unable to drive a conventional motor vehicle. Despite the considerable potential of self-driving vehicle technology to address this mobility issue, however, the needs and preferences of persons with visual disabilities regarding this technology have been insufficiently investigated. In this article, we present the results of two studies that are focused on exploring the needs, preferences, and concerns of persons with visual impairments as it relates to self-driving vehicles. Study one investigated user acceptance, concerns, and willingness to buy partially and fully automated vehicles using a 39-question Internet-based survey distributed in the United States to visually impaired respondents (n = 516). Study two explores the opinions of 38 participants who are blind and low vision, using focus group methodology, regarding emerging self-driving vehicle technology. Collectively our findings suggest that while persons with visual impairments may be optimistic regarding the potential for enhanced mobility and independence that may result from the emergence of self-driving vehicles, concerns exist regarding the implementation of this technology that have been largely unexplored and under investigated.

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References

[1]

Alexa. 2017. Retrieved from https://developer.amazon.com/alexa.

[2]

American Council of the Blind. 2013. Retrieved from http://www.acb.org/.

[3]

Automated Vehicles for Safety. 2017. Retrieved from https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety.

[4]

P. Bansal et al. 2016. Assessing public opinions of and interest in new vehicle technologies: An Austin perspective. Trans. Res. Part C: Emerg. Technol. 67, (2016), 1--14.

[5]

F. Blanco and D. Travieso. 2003. Haptic exploration and mental estimation of distances on a fictitious island: From mind's eye to mind's hand. J. Visual Impair. Blind. 97, 5 (2003), 298--300.

[6]

Blind man sets out alone in Google's driverless car. 2016. Retrieved from https://www.washingtonpost.com/local/trafficandcommuting/blind-man-sets-out-alone-in-googles-driverless-car/2016/12/13/f523ef42-c13d-11e6-8422-eac61c0ef74d_story.html.

[7]

A. S. Bregman and S. Pinker. 1978. Auditory streaming and the building of timbre. Can. J. Psychol./Revue canadienne de psychologie 32, 1 (1978), 19.

[8]

R. N. Brewer and V. Kameswaran. 2018. Understanding the power of control in autonomous vehicles for people with vision impairment. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility. 185--197.

Digital Library

[9]

J. Brinkley et al. 2018. A survey of visually impaired consumers about self-driving vehicles. J. Technol. Persons Disabil. 6, (2018), 274--283.

[10]

J. Brinkley et al. 2017. Opinions and preferences of blind and low-vision consumers regarding self-driving vehicles: Results of focus group discussions. In Proceedings of the 19th International SIG ACCESS Conference on Computers and Accessibility. 290--299.

Digital Library

[11]

S. M. Casey. 1978. Cognitive mapping by the blind. J. Visual Impair. Blind. (1978).

[12]

M. A. Cusumano. 2014. How traditional firms must compete in the sharing economy. Commun. ACM 58, 1 (2014), 32--34.

Digital Library

[13]

R. A. Daziano et al. 2017. Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles. Transport. Res. Part C: Emerg. Technol. 78, (2017), 150--164.

[14]

Deployment of Autonomous Vehicles for Public Operation. 2017. Retrieved from https://www.dmv.ca.gov/portal/dmv/detail/vr/autonomous/auto.

[15]

J. F. Fletcher. 1980. Spatial representation in blind children. 1: Development compared to sighted children. J. Visual Impair. Blind. 74, 10 (1980), 381--85.

[16]

E. Foulke. 1982. Perception, cognition and the mobility of blind pedestrians. Spatial Abil.: Dev. Physiol. Found. (1982), 55--76.

[17]

N. A. Giudice. 2018. Navigating without vision: Principles of blind spatial cognition. Handbook of Behavioral and Cognitive Geography. Edward Elgar Publishing.

[18]

R. G. Golledge. 2003. Human wayfinding and cognitive maps. The Colonization of Unfamiliar Landscapes. Routledge. 49--54.

[19]

J. B. Greenblatt and S. Saxena. 2015. Autonomous taxis could greatly reduce greenhouse-gas emissions of U.S. light-duty vehicles. Nature Climate Change 5, 9 (2015), 860--863.

[20]

J. F. Hair et al. 2006. Multivariate data Analysis (Vol. 6). Pearson Prentice Hall, Upper Saddle River, NJ.

Digital Library

[21]

H. Heft. 1996. The ecological approach to navigation: A Gibsonian perspective. The Construction of Cognitive Maps. Springer. 105--132.

[22]

D. Howard and D. Dai. 2014. Public perceptions of self-driving cars: The case of Berkeley, California. In Proceedings of the Transportation Research Board 93rd Annual Meeting.

[23]

E. W. Huff et al. 2019. Am I too old to drive?: Opinions of older adults on self-driving vehicles. In Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’19). 500--509.

Digital Library

[24]

iOS - Siri. 2017. Retrieved from http://www.apple.com/ios/siri/.

[25]

J. Kitzinger. 1995. Qualitative research: Introducing focus groups. BMJ 311, 7000 (1995), 299--302.

[26]

G. Silberg et al. 2013. Self-Driving Cars: Are We Ready. Kpmg Llp. 1--36.

[27]

R. A. Krueger and M. C. Casey. 2009. Focus Groups a Practical Guide for Applied Research. Sage Publications.

[28]

M. Kyriakidis et al. 2015. Public opinion on automated driving: Results of an international questionnaire among 5000 respondents. Transport. Res. Part F: Traffic Psychol. Behav. 32, (2015), 127--140.

[29]

S. Lacey et al. 2014. Spatial imagery in haptic shape perception. Neuropsychologia 60, (2014), 144--158.

[30]

S. Lacey and K. Sathian. 2012. Representation of object form in vision and touch. The Neural Bases of Multisensory Processes. CRC Press/Taylor 8 Francis.

[31]

Learn About OnStart. 2017. Retrieved from https://www.onstar.com/us/en/home.html.

[32]

J. Loomis and R. Klatzky. Functional equivalence of spatial representations from vision, touch, and hearing: Relevance for sensory substitution. In Blindness and Brain Plasticity in Navigation and Object Perception. Taylor 8 Francis, 167--196.

[33]

J. M. Loomis et al. 2013. Representing 3D space in working memory: Spatial images from vision, hearing, touch, and language. Multisensory Imagery. Springer, 131--155.

[34]

Low Vision and Legal Blindness Terms and Descriptions—Visionaware. 2015. Retrieved from http://www.visionaware.org/info/your-eye-condition/eye-health/low-vision/low-vision-terms-and-descriptions/1235.

[35]

A. Marinik et al. 2014. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Concepts of Operation. Report No. DOT HS 812 044. National Highway Traffic Safety Administration.

[36]

MAXQDA: Qualitative Data Analysis Software | Windows 8 Mac. 2017. Retrieved from http://www.maxqda.com/.

[37]

Microsoft Cortana Dev Center. 2017. Retrieved from https://developer.microsoft.com/en-us/cortana.

[38]

S. Millar. 1981. Crossmodal and intersensory perception and the blind. Intersensory Perception and Sensory Integration. Springer. 281--314.

[39]

Laerd Statistics. One-way ANOVA using Minitab. Retrieved on 25 March, 2020 from https://statistics.laerd.com/minitab-tutorials/one-way-anova-using-minitab.php.

[40]

J. Missel. 2014. Ipsos MORI Loyalty Automotive Survey. Retrieved from https://www.ipsos.com/ipsos-mori/en-uk/only-18-cent-britons-believe-driverless-cars-be-important-development-car-industry-focus.

[41]

Model S. Autopilot Press Kit | Tesla Motors. 2016. Retrieved from https://www.teslamotors.com/presskit/autopilot.

[42]

D. R. Montello. 1998. A new framework for understanding the acquisition of spatial knowledge in large-scale environments. In Spatial and Temporal Reasoning in Geographic Information Systems. Oxford University Press, 143--154.

[43]

D. R. Montello. 2005. Navigation. Cambridge University Press.

[44]

National Federation of the Blind Resolutions for 2016 | National Federation of the Blind. 2016. Retrieved from https://nfb.org/2016-resolutions.

[45]

National Highway Transportation Safety Administration 2017. Automated Driving System: A Vision for Safety 2.0. Technical Report #DOT HS 812 442.

[46]

W. Payre et al. 2014. Intention to use a fully automated car: Attitudes and a priori acceptability. Transport. Res. Part F: Traffic Psychol. Behav. 27 (2014), 252--263.

[47]

J. J. Rieser. 1989. Access to knowledge of spatial structure at novel points of observation. J. Exper. Psychol.: Learn. Memory Cogn. 15, 6 (1989), 1157.

[48]

J. J. Rieser et al. 1986. Sensitivity to perspective structure while walking without vision. Perception 15, 2 (1986), 173--188.

[49]

G. Ruggiero et al. 2012. Egocentric/allocentric and coordinate/categorical haptic encoding in blind people. Cogn. Process. 13, 1 (2012), 313--317.

[50]

C. L. Ryan and K. Bauman. 2016. Educational attainment in the united states: 2015. United States Census Bureau.

[51]

SAE International. 2016. Automated Driving: Levels of Driving Automation Are Defined in New SAE International Standard J#016. SAE International.

[52]

SAE J3016 automated-driving graphic. 2019. https://www.sae.org/news/2019/01/sae-updates-j3016-automated-driving-graphic.

[53]

V. R. Schinazi et al. 2016. Spatial navigation by congenitally blind individuals: Spatial navigation by congenitally blind individuals. Wiley Interdisciplinary Reviews: Cognitive Science. 7, 1 (2016), 37--58.

[54]

B. Schoettle and M. Sivak. 2014. A Survey of Public Opinion About Autonomous and Self-Driving Vehicles in the US, the UK, and Australia. Report No. UMTRI-2014-21. University of Michigan, Ann Arbor, Transportation Research Institute.

[55]

B. Schoettle and M. Sivak. 2016. Motorists’ Preferences for Different Levels of Vehicle Automation: 2016. Report No. UMTRI-2015-22. University of Michigan Sustainable Worldwide Transportation.

[56]

S. J. Shettleworth. 2010. Cognition, Evolution, and Behavior. Oxford University Press.

[57]

A. W. Siegel and S. H. White. 1975. The development of spatial representations of large-scale environments. Advances in Child Development and Behavior. Elsevier. 9--55.

[58]

R. Snyder. 2016. Implications of autonomous vehicles: A planner's perspective. Inst. Transport. Eng. J. 86, 12 (2016), 25.

[59]

K. Sommer. 2013. Continental Mobility Study 2011. Continental AG. (2013), 19--22.

[60]

Statistical facts about blindness in the united states. 2018. Retrieved from https://nfb.org/blindness-statistics.

[61]

N. Strand et al. 2014. Semi-automated versus highly automated driving in critical situations caused by automation failures. Transport. Res. Part F: Traffic Psychol. Behav. 27 (2014), 218--228.

[62]

L. Tcheang et al. 2011. Visual influence on path integration in darkness indicates a multimodal representation of large-scale space. Proc. Natl. Acad. Sci. U.S.A. 108, 3 (2011), 1152--1157.

[63]

Technology. 2017. Retrieved from https://waymo.com/tech/.

[64]

Ten ways autonomous driving could redefine the automotive world | McKinsey 8 Company. 2015. Retrieved from http://www.mckinsey.com/industries/automotive-and-assembly/our-insights/ten-ways-autonomous-driving-could-redefine-the-automotive-world.

[65]

The Leading Research 8 Experience Software. Retrieved from https://www.qualtrics.com/.

[66]

Vision Accessibility-Mac. 2018. Retrieved from https://www.apple.com/accessibility/mac/vision/.

[67]

R. F. Wang and J. R. Brockmole. 2003. Simultaneous spatial updating in nested environments. Psychonom. Bull. Rev. 10, 4 (2003), 981--986.

[68]

S. Wilkinson. 1998. Focus group methodology: A review. Int. J. Soc. Res. Methodol. 1, 3 (1998), 181--203.

Cited By

Chu AHuang G(2024)The Intersection of Voice Assistants and Autonomous Vehicles: A Scoping ReviewProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241275908Online publication date: 29-Aug-2024
https://doi.org/10.1177/10711813241275908
Beran RWu YLei Q(2024)Preferences of Individuals With Different Levels of Visual Impairment for Autonomous VehiclesProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241263580Online publication date: 29-Aug-2024
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Meinhardt LRück MZähnle JElhaidary MColley MRietzler MRukzio E(2024)Hey, What's Going On?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596188:2(1-24)Online publication date: 15-May-2024
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Index Terms

Exploring the Needs, Preferences, and Concerns of Persons with Visual Impairments Regarding Autonomous Vehicles
1. Human-centered computing
  1. Accessibility
    1. Empirical studies in accessibility

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Published In

cover image ACM Transactions on Accessible Computing

ACM Transactions on Accessible Computing Volume 13, Issue 1

March 2020

121 pages

ISSN:1936-7228

EISSN:1936-7236

DOI:10.1145/3396729

Editors:
Tiago Guerreiro
Universidade de Lisboa, Portugal
,
Stephanie Ludi
University of North Texas, USA

Issue’s Table of Contents

Copyright © 2020 ACM.

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Publication History

Published: 21 April 2020

Revised: 01 July 2019

Accepted: 01 January 2019

Received: 01 April 2018

Published in TACCESS Volume 13, Issue 1

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Cited By

Chu AHuang G(2024)The Intersection of Voice Assistants and Autonomous Vehicles: A Scoping ReviewProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241275908Online publication date: 29-Aug-2024
https://doi.org/10.1177/10711813241275908
Beran RWu YLei Q(2024)Preferences of Individuals With Different Levels of Visual Impairment for Autonomous VehiclesProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241263580Online publication date: 29-Aug-2024
https://doi.org/10.1177/10711813241263580
Meinhardt LRück MZähnle JElhaidary MColley MRietzler MRukzio E(2024)Hey, What's Going On?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596188:2(1-24)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659618
Fink PMilne HCaccese AAlsamsam MLoranger JColley MGiudice N(2024)Accessible Maps for the Future of Inclusive RidesharingProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675736(106-115)Online publication date: 22-Sep-2024
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Brinkley JEnam A(2024)The ATLAS Autonomous Vehicle HMI: Leveraging Sensory Substitution to Support the Accessibility Needs of Blind and Low Vision Users2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)10.1109/ICHMS59971.2024.10555850(1-6)Online publication date: 15-May-2024
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Kacperski CKutzner FVogel T(2024)Comparing autonomous vehicle acceptance of German residents with and without visual impairmentsDisability and Rehabilitation: Assistive Technology10.1080/17483107.2024.2317930(1-11)Online publication date: 27-Feb-2024
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Sivakanthan SDicianno BKoontz AAdenaiye OJoseph JCandiotti JWang HCooper RCooper R(2024)Accessible Autonomous Transportation and Services: Design Considerations From the Perspective of Consumers and ProvidersArchives of Physical Medicine and Rehabilitation10.1016/j.apmr.2024.04.009105:8(1536-1544)Online publication date: Aug-2024
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Bert NZare MLarique MSagot J(2024)Design and Evaluation of a Virtual Reality Application to Enhance the Acceptability of Autonomous Vehicles for Disabled PeopleAI Approaches for Designing and Evaluating Interactive Intelligent Systems10.1007/978-3-031-53957-2_4(69-84)Online publication date: 10-Apr-2024
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