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Joint Cognitive Systems: Patterns in Cognitive Systems Engineering
Abstract
Our fascination with new technologies is based on the assumption that more powerful automation will overcome human limitations and make our systems 'faster, better, cheaper,' resulting in simple, easy tasks for people. But how does new technology and more powerful automation change our work? Research in Cognitive Systems Engineering (CSE) l
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Citations
Cited by
Boin, A., & van Eeten, M. J. G. (2013) · Public Management Review · doi:10.1080/14719037.2013.769856 · Cited by 493
Hoffman, R. R., Mueller, S. T., Klein, G., & Litman, J. (2023) · Frontiers in Computer Science · doi:10.3389/fcomp.2023.1096257 · Cited by 272
Holden, R. J., & Karsh, B.-T. (2009) · Behaviour & Information Technology · doi:10.1080/01449290601138245 · Cited by 128
New technologies and mixed-use convergence: How humans and algorithms are adapting to each other
Applin, S. A., & Fischer, M. D. (2015) · 2015 IEEE International Symposium on Technology and Society (ISTAS) · doi:10.1109/istas.2015.7439436 · Cited by 51
The dynamics of trust in cyberdomains
Hoffman, R. R., Lee, J. D., Woods, D. D., Shadbolt, N., Miller, J., & Bradshaw, J. M. (2009) · IEEE Intelligent Systems · doi:10.1109/mis.2009.124 · Cited by 43
Self-citation
Metadata
- Authors
- Woods, D. D., & Hollnagel, E.
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2006-03-27
- OpenAlex
- W119656196
- Cited by
- 482
- References
- 0
- FWCI
- 26.12
- Type
- book
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
