Ecological dynamics of continuous and categorical decision-making: The regatta start in sailing

Duarte Araújo, Keith Davids, Ana Diniz, Luis Rocha, João Coelho Santos, Gonçalo Dias, Orlando Fernandes

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

Abstract: Ecological dynamics of decision-making in the sport of sailing exemplifies emergent, conditionally coupled, co-adaptive behaviours. In this study, observation of the coupling dynamics of paired boats during competitive sailing showed that decision-making can be modelled as a self-sustained, co-adapting system of informationally coupled oscillators (boats). Bytracing the spatial–temporal displacements of the boats, time series analyses (autocorrelations, periodograms and running correlations) revealed that trajectories of match racing boats are coupled more than 88% of the time during a pre-start race, via continuous, competing co-adaptions between boats. Results showed that both the continuously selected trajectories of the sailors (12 years of age) and their categorical starting point locations were examples of emergent decisions. In this dynamical conception of decision-making behaviours, strategic positioning (categorical) and continuous displacement of a boat over the course in match-race sailing emerged as a function of interacting task, personal and environmental constraints. Results suggest how key interacting constraints could be manipulated in practice to enhance sailors' perceptual attunement to them in competition.

Original languageEnglish
Pages (from-to)195-202
Number of pages8
JournalEuropean Journal of Sport Science
Volume15
Issue number3
DOIs
Publication statusPublished - 3 Apr 2015
Externally publishedYes

Keywords

  • Co-adaptation
  • cognition
  • decision-making
  • dynamical systems
  • emergence
  • tactics
  • time series analyse

Fingerprint

Dive into the research topics of 'Ecological dynamics of continuous and categorical decision-making: The regatta start in sailing'. Together they form a unique fingerprint.

Cite this