Year: 2023
Type: conference-paper
Abstract: Many industries are facing the challenge of how to capture workers’ knowledge such that it can be shared, in particular tacit knowledge. The operation of complex systems such as a manufacturing line is knowledge-intensive, especially if the operator must frequently reconfigure it for different products. Considering the breadth and dynamic nature of this knowledge, existing solutions for sharing knowledge (e.g., word-of-mouth, issue reports, document creation, and decision support systems) are inefficient and/or resource-intensive. Conversational user interfaces are an efficient way to convey information that mimics the way humans share knowledge; however, we know little about how to design them specifically for this purpose, especially regarding tacit knowledge. In this work, my main goal is to investigate how a cognitive assistant can be designed to facilitate (tacit) knowledge transfer between users of dynamic complex systems. I aim to achieve this by outlining the design requirements, challenges, and opportunities in factories; by collaboratively designing, implementing, and evaluating a cognitive assistant for sharing knowledge; studying the effects of design characteristics on aspects such as user experience; and finally, creating a set of design guidelines.
Author: Samuel Kernan Freire
Institution: Delft University of Technology
Language: English
Subfield: Communication
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
Funder: European Commission
OpenAlex ID: W4366586192