Department

University of Tennessee at Chattanooga. Dept. of Psychology

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

Workplace injuries in industrial environments pose significant risks to employees and organizations due to high physical and financial costs. Behavior-Based Safety (BBS) programs encourage avoidance of issues like “pencil-whipping”, vague, low-quality documentation (Ludwig & Laske, 2022). To address this gap, our project leverages Natural Language Processing (NLP) to analyze the quality of these reports and assess their predictive capacity for future incidents through various quality indicators.

Date

November 2026

Subject

Industrial and organizational psychology

Document Type

posters

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

http://creativecommons.org/licenses/by/4.0/

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RCIO QI Poster.pdf (231 kB)
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Nov 7th, 12:45 PM Nov 7th, 1:45 PM

Quality Indicators as Signals of Risk: Improving Safety Reporting with NLP

Workplace injuries in industrial environments pose significant risks to employees and organizations due to high physical and financial costs. Behavior-Based Safety (BBS) programs encourage avoidance of issues like “pencil-whipping”, vague, low-quality documentation (Ludwig & Laske, 2022). To address this gap, our project leverages Natural Language Processing (NLP) to analyze the quality of these reports and assess their predictive capacity for future incidents through various quality indicators.