Gamification of Hazards Recognition in Mining with a Tabletop Card Game

Laurie P. Wilson; Leonard D. Brown; Rustin Reed; Jefferey L. Burgess

doi:10.1007/978-3-030-51064-0_21

Gamification of Hazards Recognition in Mining with a Tabletop Card Game

Laurie P. Wilson, Leonard D. Brown, Rustin Reed, Jefferey L. Burgess

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

3 Scopus citations

Abstract

We have developed a card game called Very Good Day to facilitate higher order thinking skills for hazard recognition and mitigation. Using a three-way matching game mechanic, learners are incentivized through competition and challenge to mitigate hazards by applying the hierarchy of critical controls. The game also emphasizes communication, as no mitigation strategy is valid without attaining group consensus. Stealth evaluation is provided via a composite “safety index” which is based on gameplay choices. Increasingly sophisticated controls require more thought to implement, translating to higher composite safety indices. Play testing was conducted over a 10-month period with 211 learners in the mining industry. Results indicated a high level of engagement, with 95% of users able to apply better controls than the minimums to mitigate hazards.

Original language	English (US)
Title of host publication	Advances in Simulation and Digital Human Modeling - Proceedings of the AHFE 2020 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization
Editors	Daniel N. Cassenti, Sofia Scataglini, Sudhakar L. Rajulu, Julia L. Wright
Publisher	Springer
Pages	159-166
Number of pages	8
ISBN (Print)	9783030510633
DOIs	https://doi.org/10.1007/978-3-030-51064-0_21
State	Published - 2021
Event	AHFE Virtual Conference on Human Factors and Simulation and the International Conference on Digital Human Modeling and Applied Optimization, 2020 - San Diego, United States Duration: Jul 16 2020 → Jul 20 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1206 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	AHFE Virtual Conference on Human Factors and Simulation and the International Conference on Digital Human Modeling and Applied Optimization, 2020
Country/Territory	United States
City	San Diego
Period	7/16/20 → 7/20/20

Keywords

Hazard recognition
Mining
Serious games
Training
Usability

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-51064-0_21

Cite this

Wilson, L. P., Brown, L. D., Reed, R., & Burgess, J. L. (2021). Gamification of Hazards Recognition in Mining with a Tabletop Card Game. In D. N. Cassenti, S. Scataglini, S. L. Rajulu, & J. L. Wright (Eds.), Advances in Simulation and Digital Human Modeling - Proceedings of the AHFE 2020 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization (pp. 159-166). (Advances in Intelligent Systems and Computing; Vol. 1206 AISC). Springer. https://doi.org/10.1007/978-3-030-51064-0_21

Gamification of Hazards Recognition in Mining with a Tabletop Card Game. / Wilson, Laurie P.; Brown, Leonard D.; Reed, Rustin et al.
Advances in Simulation and Digital Human Modeling - Proceedings of the AHFE 2020 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization. ed. / Daniel N. Cassenti; Sofia Scataglini; Sudhakar L. Rajulu; Julia L. Wright. Springer, 2021. p. 159-166 (Advances in Intelligent Systems and Computing; Vol. 1206 AISC).

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

Wilson, LP, Brown, LD , Reed, R & Burgess, JL 2021, Gamification of Hazards Recognition in Mining with a Tabletop Card Game. in DN Cassenti, S Scataglini, SL Rajulu & JL Wright (eds), Advances in Simulation and Digital Human Modeling - Proceedings of the AHFE 2020 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization. Advances in Intelligent Systems and Computing, vol. 1206 AISC, Springer, pp. 159-166, AHFE Virtual Conference on Human Factors and Simulation and the International Conference on Digital Human Modeling and Applied Optimization, 2020, San Diego, United States, 7/16/20. https://doi.org/10.1007/978-3-030-51064-0_21

Wilson LP, Brown LD , Reed R , Burgess JL. Gamification of Hazards Recognition in Mining with a Tabletop Card Game. In Cassenti DN, Scataglini S, Rajulu SL, Wright JL, editors, Advances in Simulation and Digital Human Modeling - Proceedings of the AHFE 2020 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization. Springer. 2021. p. 159-166. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51064-0_21

Wilson, Laurie P. ; Brown, Leonard D. ; Reed, Rustin et al. / Gamification of Hazards Recognition in Mining with a Tabletop Card Game. Advances in Simulation and Digital Human Modeling - Proceedings of the AHFE 2020 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization. editor / Daniel N. Cassenti ; Sofia Scataglini ; Sudhakar L. Rajulu ; Julia L. Wright. Springer, 2021. pp. 159-166 (Advances in Intelligent Systems and Computing).

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abstract = "We have developed a card game called Very Good Day to facilitate higher order thinking skills for hazard recognition and mitigation. Using a three-way matching game mechanic, learners are incentivized through competition and challenge to mitigate hazards by applying the hierarchy of critical controls. The game also emphasizes communication, as no mitigation strategy is valid without attaining group consensus. Stealth evaluation is provided via a composite “safety index” which is based on gameplay choices. Increasingly sophisticated controls require more thought to implement, translating to higher composite safety indices. Play testing was conducted over a 10-month period with 211 learners in the mining industry. Results indicated a high level of engagement, with 95% of users able to apply better controls than the minimums to mitigate hazards.",

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N2 - We have developed a card game called Very Good Day to facilitate higher order thinking skills for hazard recognition and mitigation. Using a three-way matching game mechanic, learners are incentivized through competition and challenge to mitigate hazards by applying the hierarchy of critical controls. The game also emphasizes communication, as no mitigation strategy is valid without attaining group consensus. Stealth evaluation is provided via a composite “safety index” which is based on gameplay choices. Increasingly sophisticated controls require more thought to implement, translating to higher composite safety indices. Play testing was conducted over a 10-month period with 211 learners in the mining industry. Results indicated a high level of engagement, with 95% of users able to apply better controls than the minimums to mitigate hazards.

AB - We have developed a card game called Very Good Day to facilitate higher order thinking skills for hazard recognition and mitigation. Using a three-way matching game mechanic, learners are incentivized through competition and challenge to mitigate hazards by applying the hierarchy of critical controls. The game also emphasizes communication, as no mitigation strategy is valid without attaining group consensus. Stealth evaluation is provided via a composite “safety index” which is based on gameplay choices. Increasingly sophisticated controls require more thought to implement, translating to higher composite safety indices. Play testing was conducted over a 10-month period with 211 learners in the mining industry. Results indicated a high level of engagement, with 95% of users able to apply better controls than the minimums to mitigate hazards.

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Gamification of Hazards Recognition in Mining with a Tabletop Card Game

Abstract

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Keywords

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