Advancing a Human Factors & Ethics Canvas for New Driver Assistance Technologies Targeted at Older Adults
Item Type:Book Chapter
Citation:Advancing a Human Factors & Ethics Canvas for New Driver Assistance Technologies Targeted at Older Adults, Duffy V. (eds), Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. HCII 2020. Lecture Notes in Computer Science, vol 12198, Springer, Cham, 2020, 503-520, Cahill, J., Cromie, S., Crowley, K, Kay, A., Gormley M, Kenny, E., Hermman, S, Doyle, C, Hever, A and Ross, R.
cahill_IHCI2020_1864.docm (Accepted for publication (author's copy) - Peer Reviewed) 337.2Kb
Automated driving solutions represent a potential solution to promoting driver persistence and the management of fitness to drive issues in older adults. This paper reports on the application of a ‘Human Factors & Ethics Canvas’ and associated methodologies, to support the preliminary specification of an ethically responsible solution for a new driver assistance system. The proposed driving assistance solution has emerged from an analysis of certain ethical principles in relation to the goals and needs of specific older adult drivers (i.e. personae) in different situations (i.e. scenarios). The driving solution is designed to optimize the abilities and participation of older adults.
Science Foundation Ireland (SFI for RF)
Other Titles:Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. HCII 2020. Lecture Notes in Computer Science, vol 12198
Type of material:Book Chapter
Availability:Full text available
Keywords:Human Factors, Ethics, Successful Ageing, Wellbeing, Research & Innovation, Fitness to Drive, Automated Driving
Subject (TCD):Ageing , Inclusive Society , Next Generation Medical Devices , Smart & Sustainable Planet , ETHICS , HUMAN FACTORS , OLDER DRIVERS , Older Adults ageing in place, dementia, aging and technolo