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

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

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Abstrakt

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.
OriginalsprogEngelsk
TitelECSCW 2019: Proceedings of the 17th European Conference on Computer Supported Cooperative Work
Antal sider8
UdgivelsesstedSiegen
ForlagEuropean Society for Socially Embedded Technologies (EUSSET)
Publikationsdato2019
Artikelnummer159630
DOI
StatusUdgivet - 2019
BegivenhedThe 17th European Conference on Computer-Supported Cooperative Work - University of Salzburg, Salzburg, Østrig
Varighed: 8 jun. 201912 jun. 2019
https://ecscw.eusset.eu/2019/

Konference

KonferenceThe 17th European Conference on Computer-Supported Cooperative Work
LokationUniversity of Salzburg
Land/OmrådeØstrig
BySalzburg
Periode08/06/201912/06/2019
SponsorECSCW Foundation
Internetadresse
NavnReports of the European Society for Socially Embedded Technologies
Nummer2
Vol/bind3
ISSN2510-2591

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