A Case Study for Using AI Tools to Develop Training Materials for High Consequence Industries

There is a growing interest in leveraging AI technologies to enhance training development in high-consequence industries. This study investigated the integration of emerging artificial intelligence (AI) tools, such as ChatGPT, into the training development process. Previous research has demonstrated the potential of AI through content generation and support tools to improve training design practices. Building upon this foundation, we analyzed the use of generative AI tools via workshops with task and domain experts. By observing task expert interactions, we identified potential benefits, challenges, and limitations associated with the use of generative AI in training development. A domain expert evaluation provided valuable feedback on the quality of training materials developed with generative AI. Findings from this study contribute to a deeper understanding of how AI can augment training development in high-consequence industries, offering valuable guidance for training practitioners seeking to enhance training efficiency and effectiveness.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2024-08-31
DOI
https://doi.org/10.1177/10711813241275519
Citations
4
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
1.00
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article

A Case Study for Using AI Tools to Develop Training Materials for High Consequence Industries

Blake Nguyen, Nathan A. Sonnenfeld, Florian Jentsch, Fiona Duruaku et al.
4 citations
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Augmented Reality Applications
1.00
article

A Case Study for Using AI Tools to Develop Training Materials for High Consequence Industries

Blake Nguyen, Nathan A. Sonnenfeld, Florian Jentsch, Fiona Duruaku, Alex Alonso
article en
4 citations

Abstract

There is a growing interest in leveraging AI technologies to enhance training development in high-consequence industries. This study investigated the integration of emerging artificial intelligence (AI) tools, such as ChatGPT, into the training development process. Previous research has demonstrated the potential of AI through content generation and support tools to improve training design practices. Building upon this foundation, we analyzed the use of generative AI tools via workshops with task and domain experts. By observing task expert interactions, we identified potential benefits, challenges, and limitations associated with the use of generative AI in training development. A domain expert evaluation provided valuable feedback on the quality of training materials developed with generative AI. Findings from this study contribute to a deeper understanding of how AI can augment training development in high-consequence industries, offering valuable guidance for training practitioners seeking to enhance training efficiency and effectiveness.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 68(1)
University of Central Florida (US)
Openalex Percentile: Top 23%
Augmented Reality Applications
1.00
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