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.
| Original language | English |
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| Title of host publication | CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery (ACM) |
| Number of pages | 7 |
| ISBN (Electronic) | 978-1-4503-9422-2 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 CHI Conference on Human Factors in Computing Systems - Congress Center Hamburg (CCH), Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023 https://chi2023.acm.org/ |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
| Conference | 2023 CHI Conference on Human Factors in Computing Systems |
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| Abbreviated title | CHI'23 |
| Country/Territory | Germany |
| City | Hamburg |
| Period | 23/04/23 → 28/04/23 |
| Internet address |
Keywords
- chatbots
- human-centered AI
- industry 5.0
- intelligent assistant
- knowledge sharing
- systematic reflection
- tacit knowledge