Abstract
The uptake of open science resources needs knowledge construction on the side of the readers/receivers of scientific content. The design of technologies surrounding open science resources can facilitate such knowledge construction, but this has not been investigated yet. To do so, we first conducted a scoping review of literature, from which we draw design heuristics for knowledge construction in digital environments. Subsequently, we grouped the underlying technological functionalities into three design categories: i) structuring and supporting collaboration, ii) supporting the learning process, and iii) structuring, visualising and navigating (learning) content. Finally, we mapped the design categories and associated design heuristics to core components of popular open science platforms. This mapping constitutes a design space (design implications), which informs researchers and designers in the HCI community about suitable functionalities for supporting knowledge construction in existing or new digital open science platforms.
Original language | English |
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Title of host publication | CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems |
Publisher | Association of Computing Machinery |
ISBN (Electronic) | 9781450391573 |
DOIs | |
Publication status | Published - 29 Apr 2022 |
Event | ACM CHI Conference on Human Factors in Computing Systems: CHI 2022 - New Orleans, Virtual, United States Duration: 30 Apr 2022 → 5 May 2022 https://chi2022.acm.org |
Conference
Conference | ACM CHI Conference on Human Factors in Computing Systems |
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Abbreviated title | CHI'2022 |
Country/Territory | United States |
City | New Orleans, Virtual |
Period | 30/04/22 → 5/05/22 |
Internet address |
Keywords
- design implications
- knowledge construction
- open science
- platform design
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software