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

doi:10.18420/ecscw2019_ws6

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

Department of Digitalization

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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 language	English
Title of host publication	ECSCW 2019: Proceedings of the 17th European Conference on Computer Supported Cooperative Work
Number of pages	8
Place of Publication	Siegen
Publisher	European Society for Socially Embedded Technologies (EUSSET)
Publication date	2019
Article number	159630
DOIs	https://doi.org/10.18420/ecscw2019_ws6
Publication status	Published - 2019
Event	The 17th European Conference on Computer-Supported Cooperative Work - University of Salzburg, Salzburg, Austria Duration: 8 Jun 2019 → 12 Jun 2019 https://ecscw.eusset.eu/2019/

Conference

Conference	The 17th European Conference on Computer-Supported Cooperative Work
Location	University of Salzburg
Country/Territory	Austria
City	Salzburg
Period	08/06/2019 → 12/06/2019
Sponsor	ECSCW Foundation
Internet address	https://ecscw.eusset.eu/2019/

Series	Reports of the European Society for Socially Embedded Technologies
Number	2
Volume	3
ISSN	2510-2591

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Egger-Lampl, S., Gerdenitsch, C., Meneweger, T., Clemmensen, T., Ludwig, T., & Lewkowicz, M. (2019). Worst Case Practices Teaching Us the Bright Side: Making Meaning Out of the Dark Side of Assistive Technologies on the Shop Floor. In ECSCW 2019: Proceedings of the 17th European Conference on Computer Supported Cooperative Work Article 159630 European Society for Socially Embedded Technologies (EUSSET). https://doi.org/10.18420/ecscw2019_ws6

Egger-Lampl, Sebastian ; Gerdenitsch, Cornelia ; Meneweger, Thomas et al. / Worst Case Practices Teaching Us the Bright Side : Making Meaning Out of the Dark Side of Assistive Technologies on the Shop Floor. ECSCW 2019: Proceedings of the 17th European Conference on Computer Supported Cooperative Work. Siegen : European Society for Socially Embedded Technologies (EUSSET), 2019. (Reports of the European Society for Socially Embedded Technologies; No. 2, Vol. 3).

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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. ",

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Egger-Lampl, S, Gerdenitsch, C, Meneweger, T, Clemmensen, T, Ludwig, T & Lewkowicz, M 2019, Worst Case Practices Teaching Us the Bright Side: Making Meaning Out of the Dark Side of Assistive Technologies on the Shop Floor. in ECSCW 2019: Proceedings of the 17th European Conference on Computer Supported Cooperative Work., 159630, European Society for Socially Embedded Technologies (EUSSET), Siegen, Reports of the European Society for Socially Embedded Technologies, no. 2, vol. 3, The 17th European Conference on Computer-Supported Cooperative Work, Salzburg, Austria, 08/06/2019. https://doi.org/10.18420/ecscw2019_ws6

Worst Case Practices Teaching Us the Bright Side: Making Meaning Out of the Dark Side of Assistive Technologies on the Shop Floor. / Egger-Lampl, Sebastian; Gerdenitsch, Cornelia; Meneweger, Thomas et al.
ECSCW 2019: Proceedings of the 17th European Conference on Computer Supported Cooperative Work. Siegen: European Society for Socially Embedded Technologies (EUSSET), 2019. 159630 (Reports of the European Society for Socially Embedded Technologies; No. 2, Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Egger-Lampl S, Gerdenitsch C, Meneweger T, Clemmensen T, Ludwig T, Lewkowicz M. Worst Case Practices Teaching Us the Bright Side: Making Meaning Out of the Dark Side of Assistive Technologies on the Shop Floor. In ECSCW 2019: Proceedings of the 17th European Conference on Computer Supported Cooperative Work. Siegen: European Society for Socially Embedded Technologies (EUSSET). 2019. 159630. (Reports of the European Society for Socially Embedded Technologies; No. 2, Vol. 3). doi: 10.18420/ecscw2019_ws6