Socio-Technical Design of Hybrid Intelligence Systems – The Case of Predictive Maintenance
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
From the interviews in Case A, 77 specific challenges for PM integration were derived.
“From the interviews 77 specific challenges for PM integration were derived (Herrmann 2020).”
From Keeping the organization in the loop: a socio-technical extension of human-centered artificial intelligence (2023) · cites this paper as Herrmann 2020
Cites
What can machine learning do? Workforce implications
Brynjolfsson, E., & Mitchell, T. (2017) · Science · doi:10.1126/science.aap8062 · Cited by 1,131 · see citing works
Power to the People: The Role of Humans in Interactive Machine Learning
Amershi, S., Cakmak, M., Knox, W. B., & Kulesza, T. (2014) · AI Magazine · doi:10.1609/aimag.v35i4.2513 · Cited by 1,084 · see citing works
Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making
Cai, C. J., Reif, E., Hegde, N., Hipp, J., Kim, B., Smilkov, D., Wattenberg, M., Viegas, F., Corrado, G. S., Stumpe, M. C., et al. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300234 · Cited by 405 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
What is Human-Centered about Human-Centered AI? A Map of the Research Landscape
Capel, T., & Brereton, M. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580959 · Cited by 228 · see citing works
Herrmann, T., & Pfeiffer, S. (2023) · AI & SOCIETY · doi:10.1007/s00146-022-01391-5 · Cited by 173 · see citing works
“From the interviews 77 specific challenges for PM integration were derived (Herrmann 2020).”
BackgroundSelf-citation
- Authors
- Herrmann, T.
- Affiliations
- Ruhr University Bochum (DE)
- Corresponding author
- Herrmann, Thomas
- ORCID
- Herrmann, Thomas
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 298-309
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3040952605
- Cited by
- 16
- References
- 3
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 4 · 2023: 2 · 2022: 3 · 2021: 1
- FWCI
- 3.18
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- socio-technical design, predictive maintenance, human-in-the-loop, human operators, sensor data, design guidelines, human-machine coordination
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review