The DOI matches its Crossref record.
Allocation of functions between man and machines in automated systems.
Abstract
Abstract : The report postulates that men are good at doing that which machines are not good at doing and machines are good at doing that which men are not good at doing. Thus men and machines are not comparable, but complementary, and the term 'allocation of tasks to men and machine' becomes meaningless. Rather a task must be done by men and machines.
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Citations
Cited by
(1992) · Defense Technical Information Center (DTIC) · Cited by 141
KOMPASS: a method for complementary function allocation in automated work systems
GROTE, G., RYSER, C., WĀLER, T., WINDISCHER, A., & WEIK, S. (2000) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1999.0289 · Cited by 80
Rethinking designer agency: A case study of co-creation between designers and AI
Guo, X., Xiao, Y., Wang, J., & Ji, T. (2023) · IASDR 2023: Life-Changing Design · doi:10.21606/iasdr.2023.478 · Cited by 47
Law and software agents: Are they “Agents” by the way?
Dahiyat, E. A. R. (2021) · Artificial Intelligence and Law · doi:10.1007/s10506-020-09265-1 · Cited by 31
Allocating Functions Rationally between Humans and Machines
Sheridan, T. B., Van Cott, H. P., Woods, D. D., Pew, R. W., & Hancock, P. A. (1998) · Ergonomics in Design: The Quarterly of Human Factors Applications · doi:10.1177/106480469800600305 · Cited by 25
Metadata
- Authors
- Jordan, N.
- Venue
- Journal of Applied Psychology
- Published
- 1963-06
- Volume
- 47
- Issue
- 3
- Pages
- 161-165
- ISSN
- 0021-9010 (ISSN-L)
- 1939-1854
- OpenAlex
- W2111816136
- Cited by
- 185
- References
- 0
- FWCI
- 2.97
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
