文章基本信息

标题：Workstation‒Operator Interaction in 4.0 Era: WOI 4.0
本地全文：下载
作者：Yuval Cohen ; Maya Golan ; Gonen Singer 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：11
页码：399-404
DOI：10.1016/j.ifacol.2018.08.327
语种：English
出版社：Elsevier
摘要：AbstractCurrently machine operator interface is mainly focused on providing the operator with easy control over the production processes and easy access to related information. However, myriad of recent technological advances in variety of fields including AI, raise the question of what could be added to the operator-machine interaction capabilities and how. This article explores the possibilities to harness new capabilities in cognitive and behavioral knowledge as well as AI and “Industry 4.0” literature in order to outline the architectural framework and capabilities of future work-station‒operator interaction as a principal component of the human‒machine interaction in the “Industry 4.0” era. The proposed system is named “Workstation‒Operator Interaction 4.0” (WOI 4.0). The equipment’s capabilities allows an adaptive ongoing interaction that aims to improve operator performance, safety, well-being, and satisfaction, as well as production measures. The paper describes the main elements of the proposed WOI 4.0 architecture, and illustrates a case of smart machine‒operator interactions. The contributions, limitations, and implications of the proposed WOI 4.0 system in the “Industry 4.0” arena are discussed, and future research directions are presented.
关键词：KeywordsHMIIndustry 4.0Cognitive ManufacturingAffect ComputingContext Aware Computing