Niwanputri, G.S. orcid.org/0000-0002-4281-9191, Toms, E. orcid.org/0000-0003-0677-689X and Simpson, A. orcid.org/0000-0002-4406-4917 (2023) Untangling cognitive processes underlying knowledge work. In: Gwizdka, J. and Young Rieh, S., (eds.) CHIIR '23: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval. CHIIR '23: ACM SIGIR Conference on Human Information Interaction and Retrieval, 19-23 Mar 2023, Austin, TX, USA. ACM, pp. 401-405. ISBN: 9798400700354.
Abstract
In a post-industrial society, the workplace is dominated primarily by Knowledge Work, which is achieved mostly through human cognitive processing, such as analysis, comprehension, evaluation, and decision-making. Many of these processes have limited support from technology in the same way that physical tasks have been enabled through a host of tools from hammers to shovels and hydraulic lifts. To develop a suite of cognitive tools, we first need to understand which processes humans use to complete work tasks. In the past century several classifications (e.g., Blooms) of cognitive processes have emerged, and we assessed their viability as the basis for designing tools that support cognitive work. This study re-used an existing data set composed of interviews of environmental scientists about their core work. While the classification uncovered many instances of cognitive process, the results showed that the existing cognitive process classifications do not provide a sufficiently comprehensive deconstruction of the human cognitive processes; the work is quite simply too abstract to be operational.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2023 ACM. This is an author-produced version of a paper subsequently published in CHIIR '23: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Information and Computing Sciences; Human-Centred Computing; Behavioral and Social Science; Generic health relevance |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Sep 2025 09:43 |
Last Modified: | 05 Sep 2025 10:13 |
Status: | Published |
Publisher: | ACM |
Refereed: | Yes |
Identification Number: | 10.1145/3576840.3586162 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:230950 |