Assessment of the application of technology acceptance measures to older drivers' acceptance of advanced driver-assistance systems

Abigail Hansen; Kim Kiely; Tuki Attuquayefio; Diane Hosking; Michael Regan; Ranmalee Eramudugolla; Lesley A. Ross; Kaarin J. Anstey

doi:10.1016/j.apergo.2025.104474

Assessment of the application of technology acceptance measures to older drivers' acceptance of advanced driver-assistance systems

Abigail Hansen, Kim Kiely, Tuki Attuquayefio, Diane Hosking, Michael Regan, Ranmalee Eramudugolla, Lesley A. Ross, Kaarin J. Anstey

School of Psychology

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Older adults' road safety is a concern given the ageing population and increasing numbers of licensed older drivers. Advanced Driver-Assistance Systems (ADAS) are designed to improve safety, however little is known about the relationship between ADAS use and its trust and acceptance in older adults. The purpose of this study was to assesses an instrument of older driver acceptance of and trust in ADAS. A survey distributed to 1008 older Australian drivers (M = 72.1, SD = 6.94) found there was an overwhelmingly positive attitude towards ADAS, however trust in the systems were low and drivers had concerns with privacy, safety and failure of the systems. The Partial Automation Acceptance Scale was validated, producing a four-factor model measuring attitudes towards ADAS, attitudes towards technology, trust and perceptions on risk. Multiple regression showed three of the four factors predict use of ADAS, providing preliminary evidence of the validity and reliability of the scale.

Original language	English
Article number	104474
Number of pages	11
Journal	Applied ergonomics
Volume	125
DOIs	https://doi.org/10.1016/j.apergo.2025.104474
Publication status	Published - May 2025

Keywords

Advanced driver-assistance systems
Australia
Measurement scale
Older drivers
Partial automated vehicle acceptance
Technology acceptance

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.apergo.2025.104474

Cite this

@article{4d3ef0db37a54baabe6e726f72f710c6,

title = "Assessment of the application of technology acceptance measures to older drivers' acceptance of advanced driver-assistance systems",

abstract = "Older adults' road safety is a concern given the ageing population and increasing numbers of licensed older drivers. Advanced Driver-Assistance Systems (ADAS) are designed to improve safety, however little is known about the relationship between ADAS use and its trust and acceptance in older adults. The purpose of this study was to assesses an instrument of older driver acceptance of and trust in ADAS. A survey distributed to 1008 older Australian drivers (M = 72.1, SD = 6.94) found there was an overwhelmingly positive attitude towards ADAS, however trust in the systems were low and drivers had concerns with privacy, safety and failure of the systems. The Partial Automation Acceptance Scale was validated, producing a four-factor model measuring attitudes towards ADAS, attitudes towards technology, trust and perceptions on risk. Multiple regression showed three of the four factors predict use of ADAS, providing preliminary evidence of the validity and reliability of the scale.",

keywords = "Advanced driver-assistance systems, Australia, Measurement scale, Older drivers, Partial automated vehicle acceptance, Technology acceptance",

author = "Abigail Hansen and Kim Kiely and Tuki Attuquayefio and Diane Hosking and Michael Regan and Ranmalee Eramudugolla and Ross, {Lesley A.} and Anstey, {Kaarin J.}",

year = "2025",

month = may,

doi = "10.1016/j.apergo.2025.104474",

language = "English",

volume = "125",

journal = "Applied ergonomics",

issn = "0003-6870",

publisher = "Elsevier Ltd.",

}

TY - JOUR

T1 - Assessment of the application of technology acceptance measures to older drivers' acceptance of advanced driver-assistance systems

AU - Hansen, Abigail

AU - Kiely, Kim

AU - Attuquayefio, Tuki

AU - Hosking, Diane

AU - Regan, Michael

AU - Eramudugolla, Ranmalee

AU - Ross, Lesley A.

AU - Anstey, Kaarin J.

PY - 2025/5

Y1 - 2025/5

N2 - Older adults' road safety is a concern given the ageing population and increasing numbers of licensed older drivers. Advanced Driver-Assistance Systems (ADAS) are designed to improve safety, however little is known about the relationship between ADAS use and its trust and acceptance in older adults. The purpose of this study was to assesses an instrument of older driver acceptance of and trust in ADAS. A survey distributed to 1008 older Australian drivers (M = 72.1, SD = 6.94) found there was an overwhelmingly positive attitude towards ADAS, however trust in the systems were low and drivers had concerns with privacy, safety and failure of the systems. The Partial Automation Acceptance Scale was validated, producing a four-factor model measuring attitudes towards ADAS, attitudes towards technology, trust and perceptions on risk. Multiple regression showed three of the four factors predict use of ADAS, providing preliminary evidence of the validity and reliability of the scale.

AB - Older adults' road safety is a concern given the ageing population and increasing numbers of licensed older drivers. Advanced Driver-Assistance Systems (ADAS) are designed to improve safety, however little is known about the relationship between ADAS use and its trust and acceptance in older adults. The purpose of this study was to assesses an instrument of older driver acceptance of and trust in ADAS. A survey distributed to 1008 older Australian drivers (M = 72.1, SD = 6.94) found there was an overwhelmingly positive attitude towards ADAS, however trust in the systems were low and drivers had concerns with privacy, safety and failure of the systems. The Partial Automation Acceptance Scale was validated, producing a four-factor model measuring attitudes towards ADAS, attitudes towards technology, trust and perceptions on risk. Multiple regression showed three of the four factors predict use of ADAS, providing preliminary evidence of the validity and reliability of the scale.

KW - Advanced driver-assistance systems

KW - Australia

KW - Measurement scale

KW - Older drivers

KW - Partial automated vehicle acceptance

KW - Technology acceptance

UR - http://www.scopus.com/inward/record.url?scp=85216488635&partnerID=8YFLogxK

U2 - 10.1016/j.apergo.2025.104474

DO - 10.1016/j.apergo.2025.104474

M3 - Article

C2 - 39893764

AN - SCOPUS:85216488635

SN - 0003-6870

VL - 125

JO - Applied ergonomics

JF - Applied ergonomics

M1 - 104474

ER -

Assessment of the application of technology acceptance measures to older drivers' acceptance of advanced driver-assistance systems

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this