OLDER ADULT DRIVERS’ CHALLENGES AND IN-VEHICLE TECHNOLOGY ACCEPTANCE

Motamedi, Sanaz; Wang, Jyh-Hone; Blanger, A; Gagnon, S; Yamin, S; Casutt, G; Martin, M; Keller, M; Jncke, L; Cattell, R; Charlton, J; Oxley, J; Fildes, B; Oxley, P; Newstead, S; Koppel, S; O'hare, M; Cicchino, J; Mccartt, A; Davidse, R; Davis, F; Dawson, J; Anderson, S; Uc, E; Dastrup, E; Rizzo, M; Eby, D; Molnar, L; Zhang, L; St Louis, R; Zanier, N; Kostyniuk, L; Hojjati-Emami, K; Dhillon, B; Jenab, K; Lam, L; Lavalliere, M; Laurendeau, D; Simoneau, M; Teasdale, N; Li, Y; Wang, H; Wang, W; Liu, S; Xiang, Y; Macleod, K; Satariano, W; Ragland, D; Madigan, R; Louw, T; Dziennus, M; Graindorge, T; Ortega, E; Graindorge, M; Merat, N; Mayhew, D; Simpson, H; Ferguson, S; Mitchell, C; Suen, S; Motamedi, S; Wang, J.-H; Musselwhite, C; Holland, C; Walker, I; Osswald, S; Wurhofer, D; Trsterer, S; Beck, E; Tscheligi, M; Pavlou, D; Papantoniou, P; Papadimitriou, E; Vardaki, S; Economou, A; Yannis, G; Papageorgiou, S; Reimer, B; Rosenbloom, S; Coughlin, J; D'ambrosio, L ;; Schulz, R; Wahl, H; Matthews, J; Dabbs, A De Vito; Beach, S; Czaja, S; Siren, A; Meng, A; Son, J; Park, M; Park, B; Venkatesh, V; Bala, H; Venkatesh, V; Davis, F; Venkatesh, V; Morris, M; Davis, G; Davis, F · 2017 · OpenAlex-citations

DOI: 10.7708/ijtte.2017.7(4).08

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Summary

This study investigates the driving challenges faced by older adult drivers and their acceptance of in-vehicle technologies designed to mitigate these risks. Motivated by the rapid growth of the older driver population and the associated decline in sensory, motor, and cognitive abilities, the research aims to identify specific challenging driving situations and determine which lower-level automation technologies older adults are willing to adopt. The study addresses four key questions: what situations pose challenges, what assistance is needed, which technologies provide this assistance, and what dimensions influence technology acceptance. The methodology involved two questionnaires administered to older adult drivers in Rhode Island. Questionnaire 1, completed by 135 participants, collected demographic data, driving profiles, health concerns, and crash histories. Participants also rated the challenge level of 20 specific driving situations on a 1–5 Likert scale. Based on these results, six lower-level in-vehicle technologies were selected for further study: Automatic Windshield Wipers (AWW), Night Vision Camera (NVC), Adaptive Cruise Control (ACC), Lane Departure Warning (LDW), Side View Assist (SVA), and Automated Pedestrian Detecting (APD). Questionnaire 2, completed by 115 participants, assessed the acceptance of these technologies using a four-dimensional conceptual model (UESA) adapted from the Technology Acceptance Model (TAM) and Car Technology Acceptance Model (CTAM). The model included perceived usefulness, perceived ease of use, perceived safety, and perceived anxiety. Results from Questionnaire 1 indicated that 54% of participants reported health concerns, with vision, bone/joint flexibility, and memory being the most prevalent. Crash experiences were common, with 94% of participants reporting at least one crash in the past decade, frequently occurring in conditions such as snow, fog, intersections, and at night. The study identified that older adults find driving in bad weather, at night, on highways, and in heavy traffic particularly challenging due to declines in vision, motion perception, and selective attention. Questionnaire 2 results explored the acceptance of the six identified technologies based on the UESA dimensions, aiming to understand how perceived safety and anxiety, alongside traditional TAM factors, influence the intention to use these systems. The significance of this research lies in its contribution to understanding the specific needs and acceptance barriers of older adult drivers regarding driving assistance technologies. By focusing on lower-level automation, the study addresses the limited cognitive capacity of older drivers, suggesting that these systems may enhance safety without causing the distraction associated with higher-level automation. The findings provide engineers and policymakers with insights into the factors that make technologies useful and acceptable to this demographic, thereby informing the development of systems that can improve driving safety and support the mobility of an aging population.

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extract	success	cached	—	—	2	2026-06-26
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tag	success	vector_similarity	—	—	6	2026-06-25
verify	success	—	—	—	1	2026-06-26

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Empirical Findings: self report data, observational prevalence

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BibTeX

@article{motamedi-2017-older_adult_drivers_challenges,
  title = {OLDER ADULT DRIVERS’ CHALLENGES AND IN-VEHICLE TECHNOLOGY ACCEPTANCE},
  author = {Motamedi, Sanaz and Wang, Jyh-Hone and Blanger, A and Gagnon, S and Yamin, S and Casutt, G and Martin, M and Keller, M and Jncke, L and Cattell, R and Charlton, J and Oxley, J and Fildes, B and Oxley, P and Newstead, S and Koppel, S and O'hare, M and Cicchino, J and Mccartt, A and Davidse, R and Davis, F and Dawson, J and Anderson, S and Uc, E and Dastrup, E and Rizzo, M and Eby, D and Molnar, L and Zhang, L and St Louis, R and Zanier, N and Kostyniuk, L and Hojjati-Emami, K and Dhillon, B and Jenab, K and Lam, L and Lavalliere, M and Laurendeau, D and Simoneau, M and Teasdale, N and Li, Y and Wang, H and Wang, W and Liu, S and Xiang, Y and Macleod, K and Satariano, W and Ragland, D and Madigan, R and Louw, T and Dziennus, M and Graindorge, T and Ortega, E and Graindorge, M and Merat, N and Mayhew, D and Simpson, H and Ferguson, S and Mitchell, C and Suen, S and Motamedi, S and Wang, J.-H and Musselwhite, C and Holland, C and Walker, I and Osswald, S and Wurhofer, D and Trsterer, S and Beck, E and Tscheligi, M and Pavlou, D and Papantoniou, P and Papadimitriou, E and Vardaki, S and Economou, A and Yannis, G and Papageorgiou, S and Reimer, B and Rosenbloom, S and Coughlin, J and D'ambrosio, L ; and Schulz, R and Wahl, H and Matthews, J and Dabbs, A De Vito and Beach, S and Czaja, S and Siren, A and Meng, A and Son, J and Park, M and Park, B and Venkatesh, V and Bala, H and Venkatesh, V and Davis, F and Venkatesh, V and Morris, M and Davis, G and Davis, F},
  year = {2017},
  doi = {10.7708/ijtte.2017.7(4).08},
  journal = {OpenAlex-citations},
  url = {10.7708/ijtte.2017.7(4).08}
}

RIS

TY  - JOUR
TI  - OLDER ADULT DRIVERS’ CHALLENGES AND IN-VEHICLE TECHNOLOGY ACCEPTANCE
AU  - Motamedi, Sanaz
AU  - Wang, Jyh-Hone
AU  - Blanger, A
AU  - Gagnon, S
AU  - Yamin, S
AU  - Casutt, G
AU  - Martin, M
AU  - Keller, M
AU  - Jncke, L
AU  - Cattell, R
AU  - Charlton, J
AU  - Oxley, J
AU  - Fildes, B
AU  - Oxley, P
AU  - Newstead, S
AU  - Koppel, S
AU  - O'hare, M
AU  - Cicchino, J
AU  - Mccartt, A
AU  - Davidse, R
AU  - Davis, F
AU  - Dawson, J
AU  - Anderson, S
AU  - Uc, E
AU  - Dastrup, E
AU  - Rizzo, M
AU  - Eby, D
AU  - Molnar, L
AU  - Zhang, L
AU  - St Louis, R
AU  - Zanier, N
AU  - Kostyniuk, L
AU  - Hojjati-Emami, K
AU  - Dhillon, B
AU  - Jenab, K
AU  - Lam, L
AU  - Lavalliere, M
AU  - Laurendeau, D
AU  - Simoneau, M
AU  - Teasdale, N
AU  - Li, Y
AU  - Wang, H
AU  - Wang, W
AU  - Liu, S
AU  - Xiang, Y
AU  - Macleod, K
AU  - Satariano, W
AU  - Ragland, D
AU  - Madigan, R
AU  - Louw, T
AU  - Dziennus, M
AU  - Graindorge, T
AU  - Ortega, E
AU  - Graindorge, M
AU  - Merat, N
AU  - Mayhew, D
AU  - Simpson, H
AU  - Ferguson, S
AU  - Mitchell, C
AU  - Suen, S
AU  - Motamedi, S
AU  - Wang, J.-H
AU  - Musselwhite, C
AU  - Holland, C
AU  - Walker, I
AU  - Osswald, S
AU  - Wurhofer, D
AU  - Trsterer, S
AU  - Beck, E
AU  - Tscheligi, M
AU  - Pavlou, D
AU  - Papantoniou, P
AU  - Papadimitriou, E
AU  - Vardaki, S
AU  - Economou, A
AU  - Yannis, G
AU  - Papageorgiou, S
AU  - Reimer, B
AU  - Rosenbloom, S
AU  - Coughlin, J
AU  - D'ambrosio, L ;
AU  - Schulz, R
AU  - Wahl, H
AU  - Matthews, J
AU  - Dabbs, A De Vito
AU  - Beach, S
AU  - Czaja, S
AU  - Siren, A
AU  - Meng, A
AU  - Son, J
AU  - Park, M
AU  - Park, B
AU  - Venkatesh, V
AU  - Bala, H
AU  - Venkatesh, V
AU  - Davis, F
AU  - Venkatesh, V
AU  - Morris, M
AU  - Davis, G
AU  - Davis, F
PY  - 2017
JO  - OpenAlex-citations
DO  - 10.7708/ijtte.2017.7(4).08
UR  - 10.7708/ijtte.2017.7(4).08
ER  -

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