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Navigating in the Dark – Designing Autonomous Driving Features to Assist Old Adults with Visual Impairment

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Published:18 September 2023Publication History

ABSTRACT

Age-related macular degeneration (AMD) is a leading cause of blindness, and it limits the ability of older adults to drive independently. Highly autonomous vehicles (AVs) offer a potential solution for those with low vision, but accessibility issues must be addressed to create a safe and pleasant experience. A study was conducted using a human-centered design process consisting of five stages to design a prototype that aids older adults with AMD to maintain situational awareness and control while riding in a highly or fully AV. The prototype includes a voice-activated navigation system with three levels of detail, a 360° in-vehicle camera, a retractable microphone, and physical buttons on the console-side of the right and left front seats to manually activate the navigation system. These features are designed to help passengers with low vision to travel with a necessary level of situational awareness and remain in control during the ride.

References

  1. Lilit Avetisyan, Jackie Ayoub, and Feng Zhou. 2022. Investigating explanations in conditional and highly automated driving: the effects of situation awareness and modality. Transportation research part F: traffic psychology and behaviour 89 (2022), 456–466.Google ScholarGoogle Scholar
  2. Jackie Ayoub, Lilit Avetisyan, Mustapha Makki, and Feng Zhou. 2021. An investigation of drivers’ dynamic situational trust in conditionally automated driving. IEEE Transactions on Human-Machine Systems 52, 3 (2021), 501–511.Google ScholarGoogle ScholarCross RefCross Ref
  3. Jackie Ayoub, Brian Mason, Kamari Morse, Austin Kirchner, Naira Tumanyan, and Feng Zhou. 2020. Otto: An autonomous school bus system for parents and children. In Extended abstracts of the 2020 chi conference on human factors in computing systems. Association for Computing Machinery, New York, NY, USA, 1–7.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Jackie Ayoub, Feng Zhou, Shan Bao, and X Jessie Yang. 2019. From manual driving to automated driving: A review of 10 years of autoui. In Proceedings of the 11th international conference on automotive user interfaces and interactive vehicular applications. Association for Computing Machinery, New York, NY, USA, 70–90.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Stanford Chihuri, Thelma J Mielenz, Charles J DiMaggio, Marian E Betz, Carolyn DiGuiseppi, Vanya C Jones, and Guohua Li. 2016. Driving cessation and health outcomes in older adults. Journal of the American Geriatrics Society 64, 2 (2016), 332–341.Google ScholarGoogle ScholarCross RefCross Ref
  6. David S Friedman, Benita J O’Colmain, Beatriz Munoz, Sandra C Tomany, Cathy McCarty, PT De Jong, Barbara Nemesure, Paul Mitchell, John Kempen, 2004. Prevalence of age-related macular degeneration in the United States. Arch ophthalmol 122, 4 (2004), 564–572.Google ScholarGoogle Scholar
  7. Sungyop Kim. 2011. Assessing mobility in an aging society: Personal and built environment factors associated with older people’s subjective transportation deficiency in the US. Transportation research part F: traffic psychology and behaviour 14, 5 (2011), 422–429.Google ScholarGoogle Scholar
  8. Laurence S Lim, Paul Mitchell, Johanna M Seddon, Frank G Holz, and Tien Y Wong. 2012. Age-related macular degeneration. The Lancet 379, 9827 (2012), 1728–1738.Google ScholarGoogle Scholar
  9. Carol M Mangione, Peter R Gutierrez, Gary Lowe, E John Orav, and Johanna M Seddon. 1999. Influence of age-related maculopathy on visual functioning and health-related quality of life. American journal of ophthalmology 128, 1 (1999), 45–53.Google ScholarGoogle Scholar
  10. LJ Molnar, AK Pradhan, DW Eby, LH Ryan, and C Bingham. 2017. BEHAVIORAL DIFFERENCES BETWEEN OLDER AND YOUNGER DRIVERS ASSOCIATED WITH AUTOMATED VEHICLES. Innovation in Aging 1, suppl_1 (2017), 1194–1194.Google ScholarGoogle ScholarCross RefCross Ref
  11. Cynthia Owsley and Gerald McGwin Jr. 2008. Driving and age-related macular degeneration. Journal of visual impairment & blindness 102, 10 (2008), 621–635.Google ScholarGoogle ScholarCross RefCross Ref
  12. Gandhimathi Padmanaban, Nathaniel P Jachim, Hala Shandi, Lilit Avetisyan, Garrett Smith, Howraa Hammoud, and Feng Zhou. 2021. An Autonomous Driving System-Dedicated Vehicle for People with ASD and their Caregivers. In 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Association for Computing Machinery, New York, NY, USA, 142–147.Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Taxonomy SAE. 2016. Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems. J3016, SAE International Standard (2016), 1–41.Google ScholarGoogle Scholar
  14. Thomas A Swain, Gerald McGwin, Joanne M Wood, Jonathan F Antin, and Cynthia Owsley. 2021. Naturalistic driving techniques and association of visual risk factors with at-fault crashes and near crashes by older drivers with vision impairment. JAMA ophthalmology 139, 6 (2021), 639–645.Google ScholarGoogle ScholarCross RefCross Ref
  15. Yangtao Zhang, X Jessie Yang, and Feng Zhou. 2022. Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline. IEEE Transactions on Intelligent Transportation Systems 23, 11 (2022), 21430–21439.Google ScholarGoogle ScholarCross RefCross Ref

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      • Published in

        cover image ACM Conferences
        AutomotiveUI '23 Adjunct: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
        September 2023
        382 pages
        ISBN:9798400701122
        DOI:10.1145/3581961

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        • Published: 18 September 2023

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