Tacit Knowledge Elicitation for Shop-floor Workers with an Intelligent Assistant

Conference paper (2023)

Authors

C.W. Wang Human-Centred Artificial Intelligence - IDE
S. Ruiz Arenas Universidad EAFIT
Research Group
Human-Centred Artificial Intelligence (IDE) (TU Delft)
Copyright: © 2023 S. Kernan Freire, C.W. Wang, S. Ruiz Arenas, E. Niforatos
DOI: https://doi.org/10.1145/3544549.3585755
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Published Date

2023

Language

English

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Faculty

Industrial Design Engineering

Department

Sustainable Design Engineering

Research Group

Human-Centred Artificial Intelligence

Abstract

Many industries face the challenge of capturing workers' knowledge to share it, particularly tacit knowledge. The operation of complex systems such as a manufacturing line is knowledge-intensive. Considering this knowledge's breadth and dynamic nature, existing knowledge-sharing solutions are inefficient and resource intensive. Conversational user interfaces are an efficient way to convey information that mimics how humans share knowledge; however, we know little about how to design them specifically for knowledge sharing, especially regarding tacit knowledge. In this work, we present an intelligent assistant that we have developed to support the elicitation of tacit knowledge from workers through systematic reflection. The system can interact with workers by voice or text and generate visualizations of shop floor data to support reflective prompts.

Files

3544549.3585755.pdf
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- Embargo expired in 19-10-2023
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