Recognition of Haptic Interaction Patterns in Dyadic Joint Object Manipulation
- Submitting institution
-
University of Nottingham, The
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 4040490
- Type
- D - Journal article
- DOI
-
10.1109/toh.2014.2384049
- Title of journal
- IEEE Transactions on Haptics
- Article number
- -
- First page
- 54
- Volume
- 8
- Issue
- 1
- ISSN
- 1939-1412
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Due to the complexities of human interactions, human-to-robot skill transfer is generally studied under conditions where physical coupling is limited. This study is significant in being the first to investigate coupled human-human dynamics in a joint object transport scenario. It identifies conflict-driven interactive states, and presents a hierarchical taxonomy to define task-dependent and independent interaction patterns. The study also demonstrates the prominence of haptics when distinguishing these patterns. It includes an annotated dataset, consisting of data from 40 people (considered large scale in the haptics/robotics domains), and fostered three subsequent papers.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
