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AUGMENTING HUMAN INTELLECT: A CONCEPTUAL FRAMEWORK
Abstract
This is an initial summary report of a project taking a new and systematic approach to improving the intellectual effectiveness of the individual human being. A detailed conceptual framework explores the nature of the system composed of the individual and the tools, concepts, and methods that match his basic capabilities to his problems. One of the tools that shows the greatest immediate promise is the computer, when it can be harnessed for direct online assistance, integrated with new concepts and methods.
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Cited by
Steps toward a science of service systems
Spohrer, J., Maglio, P. P., Bailey, J., & Gruhl, D. (2007) · Computer · doi:10.1109/mc.2007.33 · Cited by 1,264
Kim, J., Lee, H., & Cho, Y. H. (2022) · Education and Information Technologies · doi:10.1007/s10639-021-10831-6 · Cited by 669
Augmenting the algorithm: Emerging human-in-the-loop work configurations
Grønsund, T., & Aanestad, M. (2020) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2020.101614 · Cited by 364
“Thirdly, across this continuum and these functions, automation may augment human performance of a particular task through increasing the capability of humans to approach a problem situation, gain comprehension, and derive solutions (Engelbart, 1962, p. 1; Licklider, 1960).”
BackgroundHuman-centred learning analytics and AI in education: A systematic literature review
Alfredo, R., Echeverria, V., Jin, Y., Yan, L., Swiecki, Z., Gašević, D., & Martinez-Maldonado, R. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100215 · Cited by 281
Display-Selection Techniques for Text Manipulation
English, W. K., Engelbart, D. C., & Berman, M. L. (1967) · IEEE Transactions on Human Factors in Electronics · doi:10.1109/thfe.1967.232994 · Cited by 273
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Metadata
- Authors
- ENGELBART, D. C.
- Publisher
- Defense Technical Information Center
- Published
- 1962-10-01
- OpenAlex
- W2152304295
- Cited by
- 1,082
- References
- 0
- Type
- report
- Language
- en
- Open access
- closed
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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.
