Assessing the reliability of the Laban Movement Analysis system
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 29063457
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0218179
- Title of journal
- PLoS ONE
- Article number
- e0218179
- First page
- -
- Volume
- 14
- Issue
- 6
- ISSN
- 1932-6203
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
http://osf.io/y8hne
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The Laban Movement Analysis (LMA) system is widely used in the field of human-computer-interaction for classification of human movement and the generation of movement; it has, however, only been partially investigated for reliability. We present the first study systematically investigating the reliability in all its dimensions, meaning we have not only measured LMA's overall reliability, but also computed the reliability of the 4 subcategories. We show that LMA does provide a good balance between coding effort and consistency. Given the fundamental importance of reliability, the paper lays an important foundation for using LMA in different technical and non-technical disciplines.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
