A conversational ai agent for industrial maintenance reporting

This project is an exploration of potential applications of Conversational AI Agents (CAIA) for industrial maintenance. Specifically, it involves the scientific validation and development of a CAIA for a promising application: the automatic creation of information-rich maintenance reports by conversing with a technician while they perform...

A Conversational User Interface for Instructional Maintenance Reports

Maintaining a complex system, such as a modern production line, is a knowledge-intensive task. Many firms use maintenance reports as a decision support tool. However, reports are often poor quality and tedious to compile. A Conversational User Interface (CUI) could streamline the reporting process by validating the user's input, eliciting...

Break, Repair, Learn, Break Less: Investigating User Preferences for Assignment of Divergent Phrasing Learning Burden in Human-Agent Interaction to Minimize Conversational Breakdowns

Conversational agents (CA) occasionally fail to understand the user's intention or respond inappropriately due to natural language complexity. These conversational breakdowns can happen because of low intent and entity prediction confidence scores. A promising repair strategy in such cases is that the CA proposes to users likely alternatives...

Harnessing Large Language Models for Cognitive Assistants in Factories

As agile manufacturing expands and workforce mobility increases, the importance of efficient knowledge transfer among factory workers grows. Cognitive Assistants (CAs) with Large Language Models (LLMs), like GPT-3.5, can bridge knowledge gaps and improve worker performance in manufacturing settings. This study investigates the opportunities,...