Robertson_et_al_2017.docx (530.96 kB)
Is visual search strategy different between level of judo coach when acquiring visual information from the preparation phase of judo contests?
journal contribution
posted on 2023-08-30, 15:04 authored by Paul J. Robertson, Mike Callan, Charlotte Nevison, Matthew A. TimmisJudo contests are complex situations for coaches observing them. Identifying where judo coaches look (i.e. their visual search strategy) when observing contests can help identify visual information they may use to inform coaching decisions. The current exploratory study investigated the visual search strategies of elite, sub-elite, and non-judo coaches when observing the preparation phase (viewed from video footage) of elite-level judo contests. Participants' eye movements were recorded using a mobile eye-tracker. Participants were instructed to provide verbal coaching instructions to improve a specified judoka's (judo athlete) performance at set times during the footage. Elite coaches fixated significantly more frequently and longer on the specified judoka's upper body (p < 0.05) compared to the opponent's upper body and other key areas within the display. Sub-elite and non-judo coaches demonstrated no significant difference in the frequency or overall length of fixation between the judokas' upper bodies. The visual search strategy of elite judo coaches may have been a purposeful attempt to obtain accurate information about the judoka's attacking intentions early within the contest. This visual search strategy can be attributed to elite judokas' attempting to disguise their attacking intentions. Furthermore, elite coaches may have used the specified judoka's upper body as a visual pivot.
History
Refereed
- Yes
Volume
13Issue number
2Page range
186-200Publication title
International Journal of Sports Science & CoachingISSN
2048-397XExternal DOI
Publisher
SAGEFile version
- Accepted version
Language
- eng
Official URL
Legacy posted date
2018-01-18Legacy creation date
2018-01-18Legacy Faculty/School/Department
ARCHIVED Faculty of Science & Technology (until September 2018)Usage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC