| dc.description.abstract | Sri Lanka's hockey domain has been hindered by the
lack of a standardized dataset and the absence of a well-defined
set of attributes for player performance assessment, limiting the
application of advanced AI technologies. This study aims to
identify and verify a key set of attributes specific to Sri Lankan
hockey players. The methodology involved three phases: First,
an extensive literature review of 30 research papers was
conducted to identify a preliminary list of 10 attributes. Second,
these attributes were calibrated through face-to-face interviews
with coaching experts, involving 25 national-level hockey
players, resulting in the refinement of 8 attributes. Finally, these
attributes were verified through a structured questionnaire
survey conducted with hockey coaching experts, leading to the
finalization of 9 key attributes: Front Goals, Penalty Strokes,
Penalty Corners, Green Cards, Yellow Cards, Red Cards, Card
Issue Time, Goal Time, and Skill Accuracy. The next phase of
this research will focus on developing a mathematical rating
equation with weighted attributes to calculate performance
scores for each player. | en_US |
