Worst Case Practices Teaching Us the Bright Side: Making Meaning Out of the Dark Side of Assistive Technologies on the Shop Floor

Sebastian Egger-Lampl, Cornelia Gerdenitsch, Thomas Meneweger, Torkil Clemmensen, Thomas Ludwig, Myriam Lewkowicz

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Digitization, which often claims the vision to support and assist employees with suitable technologies, is immanent in nowadays industry sector. This claim implies the challenge to not only design technologies appropriately, but also to consider that such implementations of assistive technologies do transform and shape existing work practices. Within this workshop we welcome researchers from a diverse range of disciplines to submit concepts or design ideas of worst practices related to assistive technologies for the shop floor. These worst practices may either be related to previous experiences and projects of the workshop participants or related to three areas of tensions we describe in this proposal. By discussing worst practices of assistive technologies, we aim to make central aspects of assistance visible and discussable. Within the workshop, attendees should discuss these worst practices and then jointly work on best practices designs and prototypes.
Original languageEnglish
Title of host publicationECSCW 2019: Proceedings of the 17th European Conference on Computer Supported Cooperative Work
Number of pages8
Place of PublicationSiegen
PublisherEuropean Society for Socially Embedded Technologies (EUSSET)
Publication date2019
Article number159630
DOIs
Publication statusPublished - 2019
EventThe 17th European Conference on Computer-Supported Cooperative Work - University of Salzburg, Salzburg, Austria
Duration: 8 Jun 201912 Jun 2019
https://ecscw.eusset.eu/2019/

Conference

ConferenceThe 17th European Conference on Computer-Supported Cooperative Work
LocationUniversity of Salzburg
CountryAustria
CitySalzburg
Period08/06/201912/06/2019
SponsorECSCW Foundation
Internet address
SeriesReports of the European Society for Socially Embedded Technologies
Number2
Volume3
ISSN2510-2591

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