The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Haptic shared control: smoothly shifting control authority?
Open accessAbstract
Literature points to persistent issues in human-automation interaction, which are caused either when the human does not understand the automation or when the automation does not understand the human. Design guidelines for human-automation interaction aim to avoid such issues and commonly agree that the human should have continuous interaction and communication with the automation system and its authority level and should retain final authority. This paper argues that haptic shared control is a promising approach to meet the commonly voiced design guidelines for human-automation interaction, especially for automotive applications. The goal of the paper is to provide evidence for this statement, by discussing several realizations of haptic shared control found in literature. We show that literature provides ample experimental evidence that haptic shared control can lead to short-term performance benefits (e.g., faster and more accurate vehicle control; lower levels of control effort; reduced demand for visual attention). We conclude that although the continuous intuitive physical interaction inherent in haptic shared control is expected to reduce long-term issues with human-automation interaction, little experimental evidence for this is provided. Therefore, future research on haptic shared control should focus more on issues related to long-term use such as trust, overreliance, dependency on the system, and retention of skills.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Humans and automation: Use, misuse, disuse, abuse
Parasuraman, R., & Riley, V. (1997) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872097778543886 · Cited by 4,554
Bainbridge, L. (1983) · Automatica · doi:10.1016/0005-1098(83)90046-8 · Cited by 2,205
Flight-deck automation: promises and problems
WIENER, E. L., & CURRY, R. E. (1980) · Ergonomics · doi:10.1080/00140138008924809 · Cited by 599 · cited 1×
“With the current level of technology, much is possible, but as Wiener and Curry (1980) already recognized, ''…the question is no longer whether one or another function can be automated, but, rather, whether it should be.''”
BackgroundMiller, C. A., & Parasuraman, R. (2007) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872007779598037 · Cited by 434
Humans: Still Vital After All These Years of Automation
Parasuraman, R., & Wickens, C. D. (2008) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872008x312198 · Cited by 401
Cited by
Planning and Decision-Making for Autonomous Vehicles
Schwarting, W., Alonso-Mora, J., & Rus, D. (2018) · Annual Review of Control, Robotics, and Autonomous Systems · doi:10.1146/annurev-control-060117-105157 · Cited by 972
The role of roles: Physical cooperation between humans and robots
Mörtl, A., Lawitzky, M., Kucukyilmaz, A., Sezgin, M., Basdogan, C., & Hirche, S. (2012) · The International Journal of Robotics Research · doi:10.1177/0278364912455366 · Cited by 284
Meaningful human control: actionable properties for AI system development
Cavalcante Siebert, L., Lupetti, M. L., Aizenberg, E., Beckers, N., Zgonnikov, A., Veluwenkamp, H., Abbink, D., Giaccardi, E., Houben, G.-J., Jonker, C. M., et al. (2023) · AI and Ethics · doi:10.1007/s43681-022-00167-3 · Cited by 138
Self-citationA survey on hybrid human-artificial intelligence for autonomous driving
Ning, H., Yin, R., Ullah, A., & Shi, F. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2021.3074695 · Cited by 84
Metadata
- Authors
- Abbink, D. A., Mulder, M., & Boer, E. R.
- Venue
- Cognition, Technology & Work
- Published
- 2011-11-05
- Volume
- 14
- Issue
- 1
- Pages
- 19-28
- ISSN
- 1435-5558 (ISSN-L)
- 1435-5566
- OpenAlex
- W2120328935
- Cited by
- 525
- References
- 5
- FWCI
- 19.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Haptic shared control: smoothly shifting control authority? https://app.cochat.ai/papers/10.1007/s10111-011-0192-5
- The paper
- Abbink, D. A., Mulder, M., & Boer, E. R. (2012). Haptic shared control: smoothly shifting control authority? Cognition, Technology & Work. https://doi.org/10.1007/s10111-011-0192-5
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.