Conference Paper/Proceeding/Abstract 202 views 96 downloads
Democratising Repair Expertise: Designing Socio-Technical Systems to Capture Tacit Knowledge and Support Sustainable Repair Practices
Proceedings of the 23rd EUSSET Conference on Computer Supported Cooperative Work
Swansea University Author:
Pranjal Jain
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Abstract
Repair work has been the focus of the CSCW, especially in recognising system breakdowns. However, little focus has been given to developing socio-technical systems that support the implicit nature of repair. A significant amount of embodied and implicit knowledge is required when repairs are needed...
| Published in: | Proceedings of the 23rd EUSSET Conference on Computer Supported Cooperative Work |
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| ISSN: | 2510-2591 |
| Published: |
European Society for Socially Embedded Technologies (EUSSET)
2025
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70000 |
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2025-07-18T10:08:06Z |
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| last_indexed |
2025-09-04T07:22:50Z |
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cronfa70000 |
| recordtype |
SURis |
| fullrecord |
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2025-09-03T14:09:41.7909591 v2 70000 2025-07-18 Democratising Repair Expertise: Designing Socio-Technical Systems to Capture Tacit Knowledge and Support Sustainable Repair Practices 0ec93b1f40dbc297bb4dcff5fb22c5e3 0000-0003-0204-0092 Pranjal Jain Pranjal Jain true false 2025-07-18 Repair work has been the focus of the CSCW, especially in recognising system breakdowns. However, little focus has been given to developing socio-technical systems that support the implicit nature of repair. A significant amount of embodied and implicit knowledge is required when repairs are needed or when breakdowns occur. How can technology be designed to extract and capture that knowledge to assist repair work? In this context, this project explores how to design creative support tools for experts in community-based repair cafés to utilise while they address breakdowns. This project employs an ethnomethodological approach to observe repair work settings and uses co-design to understand interventions and identify effective technologies. Findings tell that DIY videos have not been particularly useful in the repair process, and there is a lack of a knowledge repository that can assist in the process of elimination when deciding the next best action in repairs. The aim is to develop a framework that facilitates how humans can converse with machines, capturing their decision-making processes and understanding, which can aid in performing their repair work. Contributing to sustainability by making the repair process more efficient, reducing waste, promoting product longevity, and supporting circular economy practices. Conference Paper/Proceeding/Abstract Proceedings of the 23rd EUSSET Conference on Computer Supported Cooperative Work European Society for Socially Embedded Technologies (EUSSET) 2510-2591 Repair Work, Tacit Knowledge, Co-design 4 7 2025 2025-07-04 https://dl.eusset.eu/handle/20.500.12015/5276 https://dl.eusset.eu/handle/20.500.12015/5276 COLLEGE NANME COLLEGE CODE Swansea University Other BT Labs, British Telecom and the EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems (grant number EP/S021892/1) 2025-09-03T14:09:41.7909591 2025-07-18T11:02:17.7463740 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Pranjal Jain 0000-0003-0204-0092 1 70000__34800__d6b20f5aa594408b8239fcd21198d5bc.pdf 70000.VOR.pdf 2025-07-18T11:07:15.1105760 Output 144178 application/pdf Version of Record true Copyright 2025 by Authors. Except as otherwise noted, this paper is licenced under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). false eng https://creativecommons.org/licenses/by/4.0/ |
| title |
Democratising Repair Expertise: Designing Socio-Technical Systems to Capture Tacit Knowledge and Support Sustainable Repair Practices |
| spellingShingle |
Democratising Repair Expertise: Designing Socio-Technical Systems to Capture Tacit Knowledge and Support Sustainable Repair Practices Pranjal Jain |
| title_short |
Democratising Repair Expertise: Designing Socio-Technical Systems to Capture Tacit Knowledge and Support Sustainable Repair Practices |
| title_full |
Democratising Repair Expertise: Designing Socio-Technical Systems to Capture Tacit Knowledge and Support Sustainable Repair Practices |
| title_fullStr |
Democratising Repair Expertise: Designing Socio-Technical Systems to Capture Tacit Knowledge and Support Sustainable Repair Practices |
| title_full_unstemmed |
Democratising Repair Expertise: Designing Socio-Technical Systems to Capture Tacit Knowledge and Support Sustainable Repair Practices |
| title_sort |
Democratising Repair Expertise: Designing Socio-Technical Systems to Capture Tacit Knowledge and Support Sustainable Repair Practices |
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0ec93b1f40dbc297bb4dcff5fb22c5e3 |
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0ec93b1f40dbc297bb4dcff5fb22c5e3_***_Pranjal Jain |
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Pranjal Jain |
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Pranjal Jain |
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Proceedings of the 23rd EUSSET Conference on Computer Supported Cooperative Work |
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2025 |
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Swansea University |
| issn |
2510-2591 |
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European Society for Socially Embedded Technologies (EUSSET) |
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Faculty of Science and Engineering |
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Repair work has been the focus of the CSCW, especially in recognising system breakdowns. However, little focus has been given to developing socio-technical systems that support the implicit nature of repair. A significant amount of embodied and implicit knowledge is required when repairs are needed or when breakdowns occur. How can technology be designed to extract and capture that knowledge to assist repair work? In this context, this project explores how to design creative support tools for experts in community-based repair cafés to utilise while they address breakdowns. This project employs an ethnomethodological approach to observe repair work settings and uses co-design to understand interventions and identify effective technologies. Findings tell that DIY videos have not been particularly useful in the repair process, and there is a lack of a knowledge repository that can assist in the process of elimination when deciding the next best action in repairs. The aim is to develop a framework that facilitates how humans can converse with machines, capturing their decision-making processes and understanding, which can aid in performing their repair work. Contributing to sustainability by making the repair process more efficient, reducing waste, promoting product longevity, and supporting circular economy practices. |
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2025-07-04T05:25:27Z |
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