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Proceedings ArticleDOI

Working together with industrial robots: Experiencing robots in a production environment

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TLDR
This paper illustrates how workers in a semiconductor factory experience working together with industrial robots by applying a narrative interview approach to gain knowledge of how daily work with these robots is experienced, including workers' attitudes and inherent meanings regarding the robots.
Abstract
This paper illustrates how workers in a semiconductor factory experience working together with industrial robots. Applying a narrative interview approach, we evoked reports on workers' personal experiences of working together with these robots. This specific approach enabled us to gain knowledge of how daily work with these robots is experienced, including workers' attitudes and inherent meanings regarding the robots. Following a thematic analysis approach, we analyzed the collected interview data and identified rivalry with the robots, adaption towards the robot's behavior, perceived reasonability and knowledge acquisition as salient aspects regarding human-robot interaction in the factory. Our findings indicate how human-robot cooperation can be improved in terms of enhancing workers' everyday experiences with robots, for example, by providing a feeling of control or emphasizing human competences.

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Flexible human-robot cooperation models for assisted shop-floor tasks

TL;DR: In this paper, a sensing, representation, planning and control architecture for flexible human-robot cooperation, referred to as FlexHRC, is proposed, which relies on wearable sensors for human action recognition, AND/OR graphs for the representation of and the reasoning upon human robot cooperation models online, and a Task Priority framework to decouple action planning from robot motion planning.
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Cobots in Industry 4.0: A Roadmap for Future Practice Studies on Human–Robot Collaboration

TL;DR: In this article, a research agenda for social practice and workplace studies to explore the sociotechnical environment of Industry 4.0 involving cobots at the individual, team, and organizational levels is proposed.
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Reflections on Operators' and Maintenance Engineers' Experiences of Smart Factories

TL;DR: Light is shed on how work in increasingly automated and digitalized factories is experienced, drawing on interviews with operators and maintenance engineers from three different industrial contexts to point out how workers will experience those contexts.
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Fabrication & HCI: Hobbyist Making, Industrial Production, and Beyond

TL;DR: This one-day workshop seeks to advance the discussion around making and fabrication in HCI research, including notions of hobbyist making and industrial production, with a focus on factories, Fabrication and Design Research.
Proceedings ArticleDOI

Interleaved Online Task Planning, Simulation, Task Allocation and Motion Control for Flexible Human-Robot Cooperation

TL;DR: FlexHRC is extended with an online perception-simulation-planning framework that allows the robot to assess the status of the workspace, keeping track at all times of the stage at which the cooperative manufacturing process is, to identify its next action and simulate it to check its feasibility.
References
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Journal ArticleDOI

Using thematic analysis in psychology

TL;DR: Thematic analysis is a poorly demarcated, rarely acknowledged, yet widely used qualitative analytic method within psychology as mentioned in this paper, and it offers an accessible and theoretically flexible approach to analysing qualitative data.
Proceedings ArticleDOI

User experience over time: an initial framework

TL;DR: In this article, the authors present an in-depth, five-week ethnographic study that followed 6 individuals during an actual purchase of the Apple iPhone and found prolonged use to be motivated by different qualities than the ones that provided positive initial experiences.
Book

Experience-Centered Design: Designers, Users, and Communities in Dialogue

TL;DR: The historical origins and basic concepts that led into and flow out from the understanding of experience as the heart of people's interactions with digital technology are outlined.
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Our findings indicate how human-robot cooperation can be improved in terms of enhancing workers' everyday experiences with robots, for example, by providing a feeling of control or emphasizing human competences.