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https://doi.org/10.1109/aivr50...
Article . 2020 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Using Virtual Reality for scenario-based Responsible Research and Innovation approach for Human Robot Co-production

Authors: Aschenbrenner, D. (author); van Tol, D.H. (author); Rusak, Z. (author); Werker, C. (author);

Using Virtual Reality for scenario-based Responsible Research and Innovation approach for Human Robot Co-production

Abstract

This paper proposes to use Virtual Reality scenarios to explore the reaction of stakeholders within an innovation process in the context of the introduction of robots working in close collaboration with users. The goal is to design the system upfront in such a way, that it is not perceived as a threat to the worker or his/her job. Within the responsible research and innovation approach, the introduction of new technology needs to be accompanied by a careful investigation of the thoughts and feelings of all stakeholders. Especially workers who are currently not working with robots but their workspace is currently undergoing an Industry 4.0 driven transformation, experience fear, that this new technology will make their jobs redundant. On the other hand, it can be observed, that successful robot interaction processes, on the one hand, increase the overall productivity, but also can enhance human well-being. The feeling of “teamwork” with the artificial intelligence entity can develop to be equally positive and motivating. To be able to design future workspaces which will result in a “teamwork” perception instead of the “fear” perception, the use of VR can be applied.

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Keywords

Human Robot Interaction, Virtual Reality, Human Robot Co Production, Industry 4.0, Responsible Research and Innovation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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4
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