The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Cobots in knowledge work
Abstract
Abstract Current technological developments, as well as widespread application of artificial intelligence, will doubtlessly continue to impact how people live and work. In this research, we explored synergies between human workers and AI in managerial tasks. We hypothesized that human-AI collaboration will increase productivity. In the paper, several levels of proximity between AI and humans in a work setting are distinguished. The multi-stage study, covering the exploratory phase in which we conducted a study of preferences using 10-item Likert scale, was conducted with a sample of 366 respondents. The study focused on working with different types of AI. The second and third phase of the study, in which we primarily used qualitative methods (scenario-based design combined with semi-structured interviews with six participants), focused on researching modes of collaboration between humans and virtual assistants. The study results generally confirmed our hypothesis about increased productivity due to enhanced human-AI collaboration, proving that the future of AI in knowledge work needs to focus not on full automation but rather on collaborative approaches where humans and AI work closely together.
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Cites
SUS: A 'Quick and Dirty' Usability Scale
(1996) · Usability Evaluation In Industry · doi:10.1201/9781498710411-35 · Cited by 8,989
Artificial Intelligence, Automation and Work
Acemoglu, D., & Restrepo, P. (2018) · doi:10.3386/w24196 · Cited by 962
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Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D., & Woo, S. E. (2024) · Journal of Organizational Behavior · doi:10.1002/job.2735 · Cited by 799
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Sison, A. J. G., Daza, M. T., Gozalo-Brizuela, R., & Garrido-Merchán, E. C. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2023.2225931 · Cited by 169
Metadata
- Authors
- Sowa, K., Przegalinska, A., & Ciechanowski, L.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2021-03
- Volume
- 125
- Pages
- 135-142
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3112852183
- Cited by
- 326
- References
- 2
- FWCI
- 17.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sowa, K., Przegalinska, A., & Ciechanowski, L. (2021). Cobots in knowledge work. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2020.11.038
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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