Modeling Human Perceptual Decision-making Using an Artificial Neural Networic

Ling Rothrock

doi:10.1109/IJCNN.1992.226947

Modeling Human Perceptual Decision-making Using an Artificial Neural Networic

Ling Rothrock

Harold and Inge Marcus Department of Industrial and Manufacturing Engineering

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

Abstract

Computer-based graphical displays are increasingly used as aids to human decision-makers. However, effective use of this new technology requires an understanding of the perceptual components of decision skill. As a step toward meeting this need, a model of skilled human decision-making using dynamic, graphically displayed information is presented. The model uses the backpropagation architecture to describe how skilled decision-makers might become increasingly attuned to highly diagnostic features of a graphically displayed decision task. The proposed model is consistent with recent psychological research suggesting that decision-makers develop a "trained eye" through experience. Results comparing the performance of the model with the performance of subjects in a laboratory experiment suggest that the model provides a promising approach for the study of decision skill.

Original language	English (US)
Title of host publication	Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	448-452
Number of pages	5
ISBN (Electronic)	0780305590
DOIs	https://doi.org/10.1109/IJCNN.1992.226947
State	Published - 1992
Event	1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States Duration: Jun 7 1992 → Jun 11 1992

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Volume	2

Conference

Conference	1992 International Joint Conference on Neural Networks, IJCNN 1992
Country/Territory	United States
City	Baltimore
Period	6/7/92 → 6/11/92

UN SDGs

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

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Software
Artificial Intelligence

Access to Document

10.1109/IJCNN.1992.226947

Cite this

Rothrock, L. (1992). Modeling Human Perceptual Decision-making Using an Artificial Neural Networic. In Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992 (pp. 448-452). (Proceedings of the International Joint Conference on Neural Networks; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.1992.226947

@inproceedings{00143c6d520040e0a1f84fa3a12fb634,

title = "Modeling Human Perceptual Decision-making Using an Artificial Neural Networic",

abstract = "Computer-based graphical displays are increasingly used as aids to human decision-makers. However, effective use of this new technology requires an understanding of the perceptual components of decision skill. As a step toward meeting this need, a model of skilled human decision-making using dynamic, graphically displayed information is presented. The model uses the backpropagation architecture to describe how skilled decision-makers might become increasingly attuned to highly diagnostic features of a graphically displayed decision task. The proposed model is consistent with recent psychological research suggesting that decision-makers develop a {"}trained eye{"} through experience. Results comparing the performance of the model with the performance of subjects in a laboratory experiment suggest that the model provides a promising approach for the study of decision skill.",

author = "Ling Rothrock",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE; 1992 International Joint Conference on Neural Networks, IJCNN 1992 ; Conference date: 07-06-1992 Through 11-06-1992",

year = "1992",

doi = "10.1109/IJCNN.1992.226947",

language = "English (US)",

series = "Proceedings of the International Joint Conference on Neural Networks",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "448--452",

booktitle = "Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992",

address = "United States",

}

Rothrock, L 1992, Modeling Human Perceptual Decision-making Using an Artificial Neural Networic. in Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992. Proceedings of the International Joint Conference on Neural Networks, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 448-452, 1992 International Joint Conference on Neural Networks, IJCNN 1992, Baltimore, United States, 6/7/92. https://doi.org/10.1109/IJCNN.1992.226947

Modeling Human Perceptual Decision-making Using an Artificial Neural Networic. / Rothrock, Ling.
Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 448-452 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2).

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

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AB - Computer-based graphical displays are increasingly used as aids to human decision-makers. However, effective use of this new technology requires an understanding of the perceptual components of decision skill. As a step toward meeting this need, a model of skilled human decision-making using dynamic, graphically displayed information is presented. The model uses the backpropagation architecture to describe how skilled decision-makers might become increasingly attuned to highly diagnostic features of a graphically displayed decision task. The proposed model is consistent with recent psychological research suggesting that decision-makers develop a "trained eye" through experience. Results comparing the performance of the model with the performance of subjects in a laboratory experiment suggest that the model provides a promising approach for the study of decision skill.

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EP - 452

BT - Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1992 International Joint Conference on Neural Networks, IJCNN 1992

Y2 - 7 June 1992 through 11 June 1992

ER -

Modeling Human Perceptual Decision-making Using an Artificial Neural Networic

Abstract

Publication series

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UN SDGs

All Science Journal Classification (ASJC) codes

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