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Automatic intelligent cruise control

Automatic intelligent cruise control
Automatic intelligent cruise control
This paper reports a study on the evaluation of automatic intelligent cruise control (AICC) from a psychological perspective. It was anticipated that AICC would have an effect upon the psychology of driving: i.e., make the driver feel like they have less control, reduce the level of trust in the vehicle, make drivers less situationally aware, but workload might be reduced and driving might be less stressful.

Drivers were asked to drive in a driving simulator under manual and automatic intelligent cruise control conditions. Analysis of Variance techniques were used to determine the effects of workload (i.e. amount of traffic) and feedback (i.e. degree of information from the AICC system) on the psychological variables measured (i.e. locus of control, trust, workload, stress, mental models and situational awareness). The results showed that: locus of control and trust were unaffected by AICC, whereas situational awareness, workload and stress were reduced by AICC. Ways of improving situational awareness could include cues to help the driver predict vehicle trajectory and identify conflicts.
automation, driving, workload, stress, trust, situational awareness
0334-1860
357-387
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Young, Mark S.
3f79589e-2000-4cb0-832a-6eba54f50130
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Young, Mark S.
3f79589e-2000-4cb0-832a-6eba54f50130

Stanton, Neville A. and Young, Mark S. (2006) Automatic intelligent cruise control. Journal of Intelligent Systems, 15 (1), 357-387. (doi:10.1515/JISYS.2006.15.1-4.357).

Record type: Article

Abstract

This paper reports a study on the evaluation of automatic intelligent cruise control (AICC) from a psychological perspective. It was anticipated that AICC would have an effect upon the psychology of driving: i.e., make the driver feel like they have less control, reduce the level of trust in the vehicle, make drivers less situationally aware, but workload might be reduced and driving might be less stressful.

Drivers were asked to drive in a driving simulator under manual and automatic intelligent cruise control conditions. Analysis of Variance techniques were used to determine the effects of workload (i.e. amount of traffic) and feedback (i.e. degree of information from the AICC system) on the psychological variables measured (i.e. locus of control, trust, workload, stress, mental models and situational awareness). The results showed that: locus of control and trust were unaffected by AICC, whereas situational awareness, workload and stress were reduced by AICC. Ways of improving situational awareness could include cues to help the driver predict vehicle trajectory and identify conflicts.

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More information

Published date: 1 December 2006
Keywords: automation, driving, workload, stress, trust, situational awareness

Identifiers

Local EPrints ID: 75985
URI: http://eprints.soton.ac.uk/id/eprint/75985
ISSN: 0334-1860
PURE UUID: a96b3d33-062a-42e6-aebd-1d3dde2b848b
ORCID for Neville A. Stanton: ORCID iD orcid.org/0000-0002-8562-3279
ORCID for Mark S. Young: ORCID iD orcid.org/0009-0001-2594-453X

Catalogue record

Date deposited: 11 Mar 2010
Last modified: 14 Mar 2024 03:27

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Contributors

Author: Mark S. Young ORCID iD

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