| Sumario: | Decision making is a crucial skill in team sports, yet remains challenging to measure in controlled settings. For instance, video-based testing of decision making has long neglected the interpersonal interactions between attackers and defenders, therefore it remains unclear to what degree embodied decision-making tested in those conditions reflects that observed in the natural environment. The aim of this study was to examine the extent to which interpersonal interactions influence behaviour in an embodied decision-making task. We designed an interactive avatar defender in a virtual-reality setting and conducted an empirical study to evaluate the impact of the interactions. Attackers performed a 1v1 task, and we manipulated the defender's level of interactivity to compare the attacker's behaviour to that observed when facing an opponent in-situ. Decision-making behaviour was compared across four conditions of increasing interactivity (virtual no-opponent, virtual non-interactive opponent, virtual interactive opponent, and in-situ opponent). Results strongly support the idea that adding interactions makes the task more representative of in-situ behaviour. Specifically, key measures of behaviour (e.g., trial duration and number of touches) measured with the virtual-interactive opponent (β Touches = 4.3, β Duration = 2.7) were much more representative of the in-situ behaviour (β Touches = 5.4, β Duration = 3.6) than they were against the virtual non-interactive opponent (β Touches = 2.9, β Duration = 1.84) and in the virtual no-opponent condition (β Touches = 2.5 β Duration = 1.4). The results validate the call to incorporate interpersonal interactions as a key component of decision-making tasks, and to support this we introduce a novel method for assessing interactive decision-making skills that we make available open source. • Interpersonal interactions lead to behaviour that is more representative than that observed in non-interactive paradigms. • Decision-making behaviour changes when the decision-maker is interacting with other players. • Our interactive paradigm and computational model are available open source (https://doi.org/10.5281/zenodo.15824732).
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