PREDICTING USE OF ADVANCED DRIVER-ASSISTANCE SYSTEMS IN OLDER DRIVERS THROUGH STRUCTURAL EQUATION MODELING
2024

Predicting Use of Advanced Driver-Assistance Systems in Older Drivers

Sample size: 1330 publication Evidence: high

Author Information

Author(s): Hansen Abigail, Kiely Kim, Attuquayefio Tuki, Hosking Diane, Eramudugolla Ranmalee, Anstey Kaarin

Primary Institution: University of New South Wales

Hypothesis

What technology acceptance and trust factors predict use of ADAS between older drivers who have ADAS in their car?

Conclusion

Positive attitudes towards ADAS significantly increase its use among older drivers, while trust in ADAS negatively affects its use.

Supporting Evidence

  • Older drivers are at risk due to declines in visual, sensorimotor, and cognitive processes.
  • Advanced Driver-Assistance Systems (ADAS) may help keep older drivers safe.
  • The study found that positive attitudes towards ADAS significantly increase its use.
  • Trust in ADAS was found to have a negative effect on its use.
  • The model accounted for 93.4% of the variance in ADAS usage.

Takeaway

Older drivers who like and trust advanced driving technology are more likely to use it, which can help keep them safe on the road.

Methodology

An online survey was conducted with 1330 Australian drivers aged 65 years or older, measuring attitudes towards ADAS and using structural equation modeling.

Participant Demographics

1330 Australian drivers aged 65 years or older (M=72, SD=6.9, 23% women)

Statistical Information

P-Value

p = .002, p = .024

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1093/geroni/igae098.1313

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