Engineering Human–Machine Teams for Trusted Collaboration

Big Data and Cognitive Computing

JörgP. Müller¹  Andreas Reinhardt¹  Michael Prilla¹  Christian Rembe²  Rüdiger Ehlers³  Andreas Rausch³  Delphine Reinhardt⁴  Jürgen Zimmermann⁵  Christoph Schwindt⁵  Stephan Westphal⁶  Jan Gertheiss⁷  Basel Alhaji⁸  Niels-Ole Rohweder⁸  Felix Merz⁸  Janine Beecken⁸ 

[1] Department of Informatics, Technische Universität Clausthal, 38678 Clausthal-Zellerfeld, Germany;Institute for Electrical Information Technology, Technische Universität Clausthal, 38678 Clausthal-Zellerfeld, Germany;Institute for Software and Systems Engineering, Technische Universität Clausthal, 38678 Clausthal-Zellerfeld, Germany;Institute of Computer Science and Campus Institute Data Science, Georg-August-Universität Göttingen, 37077 Göttingen, Germany;Institute of Management and Economics, Technische Universität Clausthal, 38678 Clausthal-Zellerfeld, Germany;Institute of Mathematics, Technische Universität Clausthal, 38678 Clausthal-Zellerfeld, Germany;School of Economics and Social Sciences, Helmut-Schmidt-Universität Hamburg, 22043 Hamburg, Germany;Simulation Science Center Clausthal-Göttingen, Technische Universität Clausthal, 38678 Clausthal-Zellerfeld, Germany;

关键词: human–machine collaboration;    human–machine teams;    human-in-the-loop;    trust within teams;    sensor and data analysis technologies;   

DOI  :  10.3390/bdcc4040035

来源: DOAJ

【 摘 要 】

The way humans and artificially intelligent machines interact is undergoing a dramatic change. This change becomes particularly apparent in domains where humans and machines collaboratively work on joint tasks or objects in teams, such as in industrial assembly or disassembly processes. While there is intensive research work on human–machine collaboration in different research disciplines, systematic and interdisciplinary approaches towards engineering systems that consist of or comprise human–machine teams are still rare. In this paper, we review and analyze the state of the art, and derive and discuss core requirements and concepts by means of an illustrating scenario. In terms of methods, we focus on how reciprocal trust between humans and intelligent machines is defined, built, measured, and maintained from a systems engineering and planning perspective in literature. Based on our analysis, we propose and outline three important areas of future research on engineering and operating human–machine teams for trusted collaboration. For each area, we describe exemplary research opportunities.

【 授权许可】

Unknown