Salient Feature of Haptic-Based Guidance of People in Low Visibility Environments Using Hard Reins
- Submitting institution
-
Liverpool Hope University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- AR33C
- Type
- D - Journal article
- DOI
-
10.1109/TCYB.2015.2409772
- Title of journal
- IEEE Transactions on Cybernetics
- Article number
- -
- First page
- 568-579
- Volume
- 46
- Issue
- 2
- ISSN
- 2168-2275
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2015
- URL
-
https://ieeexplore.ieee.org/document/7122303
- Supplementary information
-
-
- Request cross-referral to
- 12 - Engineering
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
S - Spatial Computing and Robotics (SC&R)
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A preliminary version of this paper was accepted for a finalist for the IEEE Franklin V. Taylor memorial award for the best paper in the IEEE Systems, Man, and Cybernetics conference in 2013. Moreover, this work was featured in EPSRC news release and California based CBS Radio in a live interview. The aim of this study was to understand the abstract dynamics of computational modeling in guiding and following in human demonstration experiments.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
