Developing metacognitive models for team-based dynamic environment using fuzzy cognitive mapping

Jung Hyup Kim; Gretchen A. Macht; Ling Rothrock; David A. Nembhard

doi:10.1007/978-3-642-39360-0_36

Developing metacognitive models for team-based dynamic environment using fuzzy cognitive mapping

Jung Hyup Kim, Gretchen A. Macht, Ling Rothrock, David A. Nembhard

Marcus Department of Industrial and Manufacturing Engineering

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

3 Scopus citations

Abstract

In this paper, by using Fuzzy Cognitive Mapping (FCM) technique, we developed the metacognitive models for team-based dynamic environment. Preliminary findings from our metacognitive studies provided a possible metacognitive framework in dynamic control tasks [1, 2]. By analyzing metacognition, performance, and communication data between team, we are able to develop the team-based evolving metacognitive models for the dynamic environments using a fuzzy cognitive map. In this research, a human-in-the-loop simulation experiment was conducted to collect communication data, objective performance data (operator on-time action performance), and subjective rating data (retrospective confident metacognitive judgment) from 6 dyads (12 participants). Within the Anti-Air Warfare Coordinator (AAWC) simulation domain, the simulation test bed provides an interactive simulating condition in which the monitoring team must communicate with their team member to defend their ship against hostile aircraft.

Original language	English (US)
Title of host publication	Engineering Psychology and Cognitive Ergonomics
Subtitle of host publication	Understanding Human Cognition - 10th International Conference, EPCE 2013, Held as Part of HCI International 2013, Proceedings
Publisher	Springer Verlag
Pages	325-334
Number of pages	10
Edition	PART 1
ISBN (Print)	9783642393594
DOIs	https://doi.org/10.1007/978-3-642-39360-0_36
State	Published - 2013
Event	10th International Conference on Engineering Psychology and Cognitive Ergonomics: Understanding Human Cognition, EPCE 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI 2013 - Las Vegas, NV, United States Duration: Jul 21 2013 → Jul 26 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	8019 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	10th International Conference on Engineering Psychology and Cognitive Ergonomics: Understanding Human Cognition, EPCE 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI 2013
Country/Territory	United States
City	Las Vegas, NV
Period	7/21/13 → 7/26/13

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-39360-0_36

Cite this

Kim, J. H., Macht, G. A., Rothrock, L., & Nembhard, D. A. (2013). Developing metacognitive models for team-based dynamic environment using fuzzy cognitive mapping. In Engineering Psychology and Cognitive Ergonomics: Understanding Human Cognition - 10th International Conference, EPCE 2013, Held as Part of HCI International 2013, Proceedings (PART 1 ed., pp. 325-334). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8019 LNAI, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-642-39360-0_36

Kim, Jung Hyup ; Macht, Gretchen A. ; Rothrock, Ling et al. / Developing metacognitive models for team-based dynamic environment using fuzzy cognitive mapping. Engineering Psychology and Cognitive Ergonomics: Understanding Human Cognition - 10th International Conference, EPCE 2013, Held as Part of HCI International 2013, Proceedings. PART 1. ed. Springer Verlag, 2013. pp. 325-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "In this paper, by using Fuzzy Cognitive Mapping (FCM) technique, we developed the metacognitive models for team-based dynamic environment. Preliminary findings from our metacognitive studies provided a possible metacognitive framework in dynamic control tasks [1, 2]. By analyzing metacognition, performance, and communication data between team, we are able to develop the team-based evolving metacognitive models for the dynamic environments using a fuzzy cognitive map. In this research, a human-in-the-loop simulation experiment was conducted to collect communication data, objective performance data (operator on-time action performance), and subjective rating data (retrospective confident metacognitive judgment) from 6 dyads (12 participants). Within the Anti-Air Warfare Coordinator (AAWC) simulation domain, the simulation test bed provides an interactive simulating condition in which the monitoring team must communicate with their team member to defend their ship against hostile aircraft.",

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Kim, JH, Macht, GA, Rothrock, L & Nembhard, DA 2013, Developing metacognitive models for team-based dynamic environment using fuzzy cognitive mapping. in Engineering Psychology and Cognitive Ergonomics: Understanding Human Cognition - 10th International Conference, EPCE 2013, Held as Part of HCI International 2013, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8019 LNAI, Springer Verlag, pp. 325-334, 10th International Conference on Engineering Psychology and Cognitive Ergonomics: Understanding Human Cognition, EPCE 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI 2013, Las Vegas, NV, United States, 7/21/13. https://doi.org/10.1007/978-3-642-39360-0_36

Developing metacognitive models for team-based dynamic environment using fuzzy cognitive mapping. / Kim, Jung Hyup; Macht, Gretchen A.; Rothrock, Ling et al.
Engineering Psychology and Cognitive Ergonomics: Understanding Human Cognition - 10th International Conference, EPCE 2013, Held as Part of HCI International 2013, Proceedings. PART 1. ed. Springer Verlag, 2013. p. 325-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8019 LNAI, No. PART 1).

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

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AU - Kim, Jung Hyup

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AU - Rothrock, Ling

AU - Nembhard, David A.

PY - 2013

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N2 - In this paper, by using Fuzzy Cognitive Mapping (FCM) technique, we developed the metacognitive models for team-based dynamic environment. Preliminary findings from our metacognitive studies provided a possible metacognitive framework in dynamic control tasks [1, 2]. By analyzing metacognition, performance, and communication data between team, we are able to develop the team-based evolving metacognitive models for the dynamic environments using a fuzzy cognitive map. In this research, a human-in-the-loop simulation experiment was conducted to collect communication data, objective performance data (operator on-time action performance), and subjective rating data (retrospective confident metacognitive judgment) from 6 dyads (12 participants). Within the Anti-Air Warfare Coordinator (AAWC) simulation domain, the simulation test bed provides an interactive simulating condition in which the monitoring team must communicate with their team member to defend their ship against hostile aircraft.

AB - In this paper, by using Fuzzy Cognitive Mapping (FCM) technique, we developed the metacognitive models for team-based dynamic environment. Preliminary findings from our metacognitive studies provided a possible metacognitive framework in dynamic control tasks [1, 2]. By analyzing metacognition, performance, and communication data between team, we are able to develop the team-based evolving metacognitive models for the dynamic environments using a fuzzy cognitive map. In this research, a human-in-the-loop simulation experiment was conducted to collect communication data, objective performance data (operator on-time action performance), and subjective rating data (retrospective confident metacognitive judgment) from 6 dyads (12 participants). Within the Anti-Air Warfare Coordinator (AAWC) simulation domain, the simulation test bed provides an interactive simulating condition in which the monitoring team must communicate with their team member to defend their ship against hostile aircraft.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Engineering Psychology and Cognitive Ergonomics

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ER -

Kim JH, Macht GA, Rothrock L, Nembhard DA. Developing metacognitive models for team-based dynamic environment using fuzzy cognitive mapping. In Engineering Psychology and Cognitive Ergonomics: Understanding Human Cognition - 10th International Conference, EPCE 2013, Held as Part of HCI International 2013, Proceedings. PART 1 ed. Springer Verlag. 2013. p. 325-334. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-39360-0_36

Developing metacognitive models for team-based dynamic environment using fuzzy cognitive mapping

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