Approach to Increase Worker Acceptance of Cognitive Assistance Systems in Manual Assembly

被引：16

作者：

Sochor, Robin ^{[1
]}

Kraus, Lorenz ^{[2
]}

Merkel, Lukas ^{[1
]}

Braunreuther, Stefan ^{[1
,3
]}

Reinhart, Gunther ^{[1
]}

机构：

[1] Fraunhofer Res Inst Casting Composite & Proc Tech, Fraunhofer IGCV, Provinostr 52, D-86153 Augsburg, Germany

[2] Univ Augsburg, Univ Str 2, D-86153 Augsburg, Germany

[3] Hsch Augsburg Univ Appl Sci, Hsch 1, D-86159 Augsburg, Germany

来源：

52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS) | 2019年 / 81卷

关键词：

Assembly; Human aspect; Productivity; System;

D O I：

10.1016/j.procir.2019.03.229

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Assembly workers face cognitive challenges due to the ongoing trend towards high-variant and small-series assembly of products with shorter lifecycles. To decrease cognitive load and to raise efficiency as well as quality, many companies start using cognitive assistance systems. However, several implementations lack of worker acceptance, which decreases the benefits of assistance systems. An early involvement of workers in the decision-making process can increase acceptance. This paper presents an approach for a digital assembly workstation consisting of several hardware and software components. With this demonstrator, assembly workers can experience the diversity of human-machine interaction technologies and potentials of cognitive support. (C) 2019 The Authors. Published by Elsevier Ltd.

引用

页码：926 / 931

页数：6

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