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Driver Persistence, Safety and Older Adult Self-efficacy: Addressing Driving Challenges Using Innovative Multimodal Communication Concepts

  • Joan CahillEmail author
  • Katie Crowley
  • Sam Cromie
  • Alison Kay
  • Michael Gormley
  • Eamonn Kenny
  • Sonja Hermann
  • Ciaran Doyle
  • Ann Hever
  • Robert Ross
Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1205)

Abstract

New assisted driving technology provides a solution to enabling driver persistence while also addressing older adult fitness to drive issues. The proposed driver assistance system follows a detailed literature review, an analysis of secondary data, and the specification of a solution using human machine interaction (HMI) design methods. Overall, the assisted driving concept follows from a principled/ethical perspective in relation to promoting self-efficacy and enablement for older adults. The system is conceptualized as a supportive friend or ‘co-pilot’. It is argued that the use of new car-based sensors, along with machine learning intelligence and novel multimodal HMI communication methods will enable driver persistence while also promoting older adult self-efficacy and positive ageing.

Keywords

Human factors Active ageing Older adult Driver task Automated driving Adaption Self-efficacy Ethics User acceptability 

References

  1. 1.
    Langford, J., Koppel, S.: Epidemiology of older driver crashes – identifying older driver risk factors and exposure patterns. Transp. Res. Part F: Traffic Psychol. Behav. 9(5), 309–321 (2006)CrossRefGoogle Scholar
  2. 2.
    Webber, S.C., Porter, M.M., Menec, V.H.: Mobility in older adults: a comprehensive framework. Gerontologist 50, 443–450 (2010)CrossRefGoogle Scholar
  3. 3.
    Marshall, S.C.: The role of reduced fitness to drive due to medical impairments in explaining crashes involving older drivers. Traffic Injury Prev. 9(4), 291–298 (2008)CrossRefGoogle Scholar
  4. 4.
    National Highway Traffic Safety Administration. Preliminary statement of policy concerning automated vehicles (2013). http://www.nhtsa.gov/staticfiles/rulemaking/pdf/Automated_Vehicles_Policy.pdf
  5. 5.
    The Irish Longitudinal study on Ageing (TILDA) Wave 4, 2016. [dataset]. Version 4.0. Irish Social Science Data Archive. SN:0053-05 (2019). www.ucd.ie/issda/data/tilda/wave3
  6. 6.
    Hermann, S.: Wearable monitoring of seated spinal posture. IEEE Trans. Biomed. Circ. Syst. 2(2), 97–105 (2008)Google Scholar
  7. 7.
    Cahill, J.: Human Factors & Ethics Canvas: A White Paper (2019). https://www.tcd.ie/cihs/projects/hfaecanvas.php
  8. 8.
    Pruitt, J., Grudin, J.: Personas: practice and theory. In: Proceedings of the 2003 Conference on Designing for User Experiences (DUX 2003), pp. 1–15. ACM, New York (2003)Google Scholar
  9. 9.
    Carroll, J.M.: Scenario-Based Design: Envisioning Work and Technology in System Development. Wiley, New York (1995)Google Scholar
  10. 10.
    Cahill, J., Crowley, K., Cromie, S., Kay, A., Gormley, M., Kenny, E., Hermman, S., Doyle, C, Hever, H., Ross, R.: Ethical Issues in the New Digital Era: The Case of Assisting Driving [Online First], IntechOpen (2020).  https://doi.org/10.5772/intechopen.88371. https://www.intechopen.com/online-first/ethical-issues-in-the-new-digital-era-the-case-of-assisting-driving

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Joan Cahill
    • 1
    Email author
  • Katie Crowley
    • 1
  • Sam Cromie
    • 1
  • Alison Kay
    • 1
  • Michael Gormley
    • 1
  • Eamonn Kenny
    • 2
  • Sonja Hermann
    • 2
  • Ciaran Doyle
    • 3
  • Ann Hever
    • 4
  • Robert Ross
    • 5
  1. 1.School of PsychologyTrinity College DublinDublin 2Ireland
  2. 2.Adapt CentreTrinity College DublinDublin 2Ireland
  3. 3.Department of Physical Education and Sport SciencesUniversity College LimerickLimerickIreland
  4. 4.The Irish Longitudinal Study on Ageing, Trinity College DublinDublin 2Ireland
  5. 5.School of ComputingDublin Institute of TechnologyDublin 2Ireland

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