Data and code from: Computational analyses of dynamic visual courtship display reveal diet-dependent male signaling in <em>Rabidosa rabida</em> wolf spiders

Abstract

Male courtship signals exhibit significant variation influenced by genetic, environmental, and ecological factors. Investigating the evolutionary significance of the variations in the complex male courtship signals, which often consist of multiple components with distinct functions, requires clear identification and quantification of their structural organization. Traditional, manually defined ethograms can be subjective and inconsistent, even with the knowledge and experience of trained experts, leading to challenges in reproducible and consistent comparative analysis. To address these limitations, this study investigates the impact of diet manipulation on the dynamic visual components of multimodal courtship displays in male Rabidosa rabida wolf spiders. By adopting a bottom-up ethogram using the Gaussian Hidden Markov Model (GHMM) and employing both unary and binary similarity measures, we aim to develop automated tools for behavior annotation and quantitatively compare dynamic visual components (i.e., foreleg movements) during male courtship. We revealed that (i) the structural organization of foreleg movements defined by the GHMM is comparable to the previously described by human observers, (ii) combining unary similarity measures with binary similarity measures is a powerful approach for animal communication studies, and (iii) previous foraging history of males influence the morphology and movement of forelegs during the multimodal courtship signals of R. rabida males. Our findings will enhance our understanding of the evolution of complex male courtship signals by providing a standardized framework for future research.