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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
Webber, S.C., Porter, M.M., Menec, V.H.: Mobility in older adults: a comprehensive framework. Gerontologist 50, 443–450 (2010)
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)
National Highway Traffic Safety Administration. Preliminary statement of policy concerning automated vehicles (2013). http://www.nhtsa.gov/staticfiles/rulemaking/pdf/Automated_Vehicles_Policy.pdf
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
Hermann, S.: Wearable monitoring of seated spinal posture. IEEE Trans. Biomed. Circ. Syst. 2(2), 97–105 (2008)
Cahill, J.: Human Factors & Ethics Canvas: A White Paper (2019). https://www.tcd.ie/cihs/projects/hfaecanvas.php
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)
Carroll, J.M.: Scenario-Based Design: Envisioning Work and Technology in System Development. Wiley, New York (1995)
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Cahill, J. et al. (2020). Driver Persistence, Safety and Older Adult Self-efficacy: Addressing Driving Challenges Using Innovative Multimodal Communication Concepts. In: Kalra, J., Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1205. Springer, Cham. https://doi.org/10.1007/978-3-030-50838-8_43
Download citation
DOI: https://doi.org/10.1007/978-3-030-50838-8_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-50837-1
Online ISBN: 978-3-030-50838-8
eBook Packages: EngineeringEngineering (R0)