Examining cue recognition across expertise using a computer-based task

Ben W. Morrison; Mark W. Wiggins; Nigel W. Bond; Michael D. Tyler

Examining cue recognition across expertise using a computer-based task

Ben W. Morrison, Mark W. Wiggins, Nigel W. Bond, Michael D. Tyler

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

Abstract

Motivation – The study examined whether experts and novices differed in their recognition of decisionmaking cues. Research approach – To test cue recognition, the authors developed and tested a computer-based cue recognition task on a group of expert and novice offender profilers. Findings/Design – Recognition performance was assessed in relation to cue classification agreement and recognition response latency among and between the two groups. The findings revealed superior performance on both measures by the experts compared to the novices. Research limitations/Implications – The findings have implications for the cue selection process in the design of computer-based training, and decision support systems. Originality/Value – The research offers an objective means of: 1) identifying cues; 2) gauging relative cue stability/strength; 3) comparing cue recognition across expertise; and, 4) selecting a valid cue-set for use in training and support systems. Take away message – There are significant differences in cue recognition across expertise that may, in part, differentiate decision-making performance.

Original language	English
Title of host publication	NDM9, London 2009
Subtitle of host publication	proceedings of the 9th International Conference on Naturalistic Decision Making, 23-26 June 2009, London, U.K.
Editors	B.L. William Wong, Neville A. Stanton
Place of Publication	Swindon, UK
Publisher	British Computer Society
Pages	91-98
Number of pages	8
ISBN (Print)	9781906124151
Publication status	Published - 2009
Externally published	Yes
Event	International Conference on Naturalistic Decision Making (9th : 2009) - London Duration: 23 Jun 2009 → 26 Jun 2009

Conference

Conference	International Conference on Naturalistic Decision Making (9th : 2009)
City	London
Period	23/06/09 → 26/06/09

Keywords

Decision-making
Cues
Cue Recognition
Expertise
Cue-Based Training

Access to Document

http://ewic.bcs.org/content/ConWebDoc/26847

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Morrison, B. W., Wiggins, M. W., Bond, N. W., & Tyler, M. D. (2009). Examining cue recognition across expertise using a computer-based task. In B. L. W. Wong, & N. A. Stanton (Eds.), NDM9, London 2009: proceedings of the 9th International Conference on Naturalistic Decision Making, 23-26 June 2009, London, U.K. (pp. 91-98). Swindon, UK: British Computer Society.

Morrison, Ben W. ; Wiggins, Mark W. ; Bond, Nigel W. ; Tyler, Michael D. / Examining cue recognition across expertise using a computer-based task. NDM9, London 2009: proceedings of the 9th International Conference on Naturalistic Decision Making, 23-26 June 2009, London, U.K.. editor / B.L. William Wong ; Neville A. Stanton. Swindon, UK : British Computer Society, 2009. pp. 91-98

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title = "Examining cue recognition across expertise using a computer-based task",

abstract = "Motivation – The study examined whether experts and novices differed in their recognition of decisionmaking cues. Research approach – To test cue recognition, the authors developed and tested a computer-based cue recognition task on a group of expert and novice offender profilers. Findings/Design – Recognition performance was assessed in relation to cue classification agreement and recognition response latency among and between the two groups. The findings revealed superior performance on both measures by the experts compared to the novices. Research limitations/Implications – The findings have implications for the cue selection process in the design of computer-based training, and decision support systems. Originality/Value – The research offers an objective means of: 1) identifying cues; 2) gauging relative cue stability/strength; 3) comparing cue recognition across expertise; and, 4) selecting a valid cue-set for use in training and support systems. Take away message – There are significant differences in cue recognition across expertise that may, in part, differentiate decision-making performance.",

keywords = "Decision-making, Cues, Cue Recognition, Expertise, Cue-Based Training",

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year = "2009",

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pages = "91--98",

editor = "Wong, {B.L. William} and Stanton, {Neville A.}",

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Morrison, BW , Wiggins, MW, Bond, NW & Tyler, MD 2009, Examining cue recognition across expertise using a computer-based task. in BLW Wong & NA Stanton (eds), NDM9, London 2009: proceedings of the 9th International Conference on Naturalistic Decision Making, 23-26 June 2009, London, U.K.. British Computer Society, Swindon, UK, pp. 91-98, International Conference on Naturalistic Decision Making (9th : 2009), London, 23/06/09.

Examining cue recognition across expertise using a computer-based task. / Morrison, Ben W.; Wiggins, Mark W.; Bond, Nigel W.; Tyler, Michael D.

NDM9, London 2009: proceedings of the 9th International Conference on Naturalistic Decision Making, 23-26 June 2009, London, U.K.. ed. / B.L. William Wong; Neville A. Stanton. Swindon, UK : British Computer Society, 2009. p. 91-98.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

TY - GEN

T1 - Examining cue recognition across expertise using a computer-based task

AU - Morrison, Ben W.

AU - Wiggins, Mark W.

AU - Bond, Nigel W.

AU - Tyler, Michael D.

PY - 2009

Y1 - 2009

N2 - Motivation – The study examined whether experts and novices differed in their recognition of decisionmaking cues. Research approach – To test cue recognition, the authors developed and tested a computer-based cue recognition task on a group of expert and novice offender profilers. Findings/Design – Recognition performance was assessed in relation to cue classification agreement and recognition response latency among and between the two groups. The findings revealed superior performance on both measures by the experts compared to the novices. Research limitations/Implications – The findings have implications for the cue selection process in the design of computer-based training, and decision support systems. Originality/Value – The research offers an objective means of: 1) identifying cues; 2) gauging relative cue stability/strength; 3) comparing cue recognition across expertise; and, 4) selecting a valid cue-set for use in training and support systems. Take away message – There are significant differences in cue recognition across expertise that may, in part, differentiate decision-making performance.

AB - Motivation – The study examined whether experts and novices differed in their recognition of decisionmaking cues. Research approach – To test cue recognition, the authors developed and tested a computer-based cue recognition task on a group of expert and novice offender profilers. Findings/Design – Recognition performance was assessed in relation to cue classification agreement and recognition response latency among and between the two groups. The findings revealed superior performance on both measures by the experts compared to the novices. Research limitations/Implications – The findings have implications for the cue selection process in the design of computer-based training, and decision support systems. Originality/Value – The research offers an objective means of: 1) identifying cues; 2) gauging relative cue stability/strength; 3) comparing cue recognition across expertise; and, 4) selecting a valid cue-set for use in training and support systems. Take away message – There are significant differences in cue recognition across expertise that may, in part, differentiate decision-making performance.

KW - Decision-making

KW - Cues

KW - Cue Recognition

KW - Expertise

KW - Cue-Based Training

M3 - Conference proceeding contribution

SN - 9781906124151

SP - 91

EP - 98

BT - NDM9, London 2009

A2 - Wong, B.L. William

A2 - Stanton, Neville A.

PB - British Computer Society

CY - Swindon, UK

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