Malleable attentional resources theory: a new explanation for the effects of mental underload on performance
Malleable attentional resources theory: a new explanation for the effects of mental underload on performance
This paper proposes a new theory to account for the effects of underload on performance. Malleable attentional resources theory posits that attentional capacity can change size in response to changes in task demands. As such, the performance decrements associated with mental underload can be explained by a lack of appropriate attentional resources. These proposals were explored in a driving simulator experiment. Vehicle automation was manipulated at 4 levels, and mental workload was assessed with a secondary task. Eye movements were also recorded to determine whether attentional capacity varied with mental workload. The results showed a clear decrease in mental workload associated with some levels of automation. Most striking, though, were the results derived from the eye movement recordings, which demonstrated that attentional capacity varies directly with level of mental workload. These data fully supported the predictions of the new theory. Malleable attentional resources theory suggests that future vehicle designers should employ their technology in driver support systems rather than in automation to replace the driver. The implications of this theory are discussed with regard to capacity models of attention as well as to the design of future vehicle systems
365-375
Young, M.S.
3f79589e-2000-4cb0-832a-6eba54f50130
Stanton, N.A.
351a44ab-09a0-422a-a738-01df1fe0fadd
2002
Young, M.S.
3f79589e-2000-4cb0-832a-6eba54f50130
Stanton, N.A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Young, M.S. and Stanton, N.A.
(2002)
Malleable attentional resources theory: a new explanation for the effects of mental underload on performance.
Human Factors, 44 (3), .
(doi:10.1518/0018720024497709).
Abstract
This paper proposes a new theory to account for the effects of underload on performance. Malleable attentional resources theory posits that attentional capacity can change size in response to changes in task demands. As such, the performance decrements associated with mental underload can be explained by a lack of appropriate attentional resources. These proposals were explored in a driving simulator experiment. Vehicle automation was manipulated at 4 levels, and mental workload was assessed with a secondary task. Eye movements were also recorded to determine whether attentional capacity varied with mental workload. The results showed a clear decrease in mental workload associated with some levels of automation. Most striking, though, were the results derived from the eye movement recordings, which demonstrated that attentional capacity varies directly with level of mental workload. These data fully supported the predictions of the new theory. Malleable attentional resources theory suggests that future vehicle designers should employ their technology in driver support systems rather than in automation to replace the driver. The implications of this theory are discussed with regard to capacity models of attention as well as to the design of future vehicle systems
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Published date: 2002
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Local EPrints ID: 74676
URI: http://eprints.soton.ac.uk/id/eprint/74676
ISSN: 0018-7208
PURE UUID: af206e82-9e59-4364-8188-be959c474734
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Date deposited: 11 Mar 2010
Last modified: 14 Mar 2024 03:27
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M.S. Young
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