Examining human-horse interaction by means of affect recognition via physiological signals
- Submitting institution
-
University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21377538
- Type
- D - Journal article
- DOI
-
10.1109/ACCESS.2019.2922037
- Title of journal
- IEEE Access
- Article number
- -
- First page
- 77857
- Volume
- 7
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2019
- 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
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work proposed and evaluated analytical methods to quantitatively assess human-horse interaction, focusing on understanding the complex emotional response that horses seem to elicit in human riders and handlers. This work provides the means to measure the benefits of such interaction in psychotherapy intervention, within the context of equine assisted therapy (EAT). Commonly available approaches rely on empirical observations and subjective personal experiences as the basis of their conclusions, thus making the proposed approach extremely valuable within the field of EAT and making this work internationally important and innovative.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -