Towards Human-Chatbot Interaction: A Virtual Assistant for the Ramp-up Process

Melanie Zimmer, Ali Al-Yacoub, P. Ferreira, N. Lohse
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引用次数: 4

Abstract

Nowadays, we are surrounded by virtual assistants in everyday life. But one domain that is assumed to massively benefit from virtual assistants, is manufacturing. In particular, where activities are reliant on human expertise and knowledge, a virtual assistant could help support the human. The vision of this work is inspired by the need for bringing an assembly system more rapidly to an operational state. To achieve this vision, a decision-support framework that aims to better integrate the human operator into the ramp-up activity is proposed. As part of this framework, natural language processing tools are applied to allow the development of a virtual assistant for the ramp-up process. This paper provides an overview of the current work in progress, which is part of a PhD research undertaken at the Intelligent Automation Centre at Loughborough University. It outlines the initial efforts and future steps that have been completed and are planned.
迈向人-聊天机器人互动:提升过程的虚拟助手
如今,我们在日常生活中被虚拟助手所包围。但有一个领域被认为会从虚拟助手中受益匪浅,那就是制造业。特别是,在活动依赖于人类的专业知识和知识的情况下,虚拟助手可以帮助支持人类。这项工作的愿景受到将装配系统更快地带入操作状态的需要的启发。为了实现这一愿景,提出了一个决策支持框架,旨在更好地将人工操作员整合到斜坡活动中。作为该框架的一部分,应用了自然语言处理工具,以允许开发虚拟助手来加速过程。本文概述了目前正在进行的工作,这是拉夫堡大学智能自动化中心进行的博士研究的一部分。它概述了已完成和计划中的初步努力和今后的步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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