ArticleSports medicine (Auckland, N.Z.)2025
DyNamic Interactive Anticipation-Time for a Paradigmatic Shift.
Article in Sports medicine (Auckland, N.Z.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Context shapes action understanding in social interactions.iScience · 2026Article
- Quantifying mutual hesitation and identifying kinematic predictors in near-collision avoidance in walking.Scientific reports · 2026Article
- Comparing drift-diffusion modeling and finger tracking as a window into decision-making in handball penalty situations.Experimental brain research · 2026Article
- Associations between executive functions, coaches' evaluation, and performance development in youth soccer.Scientific reports · 2025Article
- Algorithmic gaze annotation for mobile eye-tracking.Behavior research methods · 2025Article
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Authors and funding
2 authors.
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Abstract
Everyday human interactions require observers to anticipate the actions of others (e.g., when walking past another in a corridor or choosing where to hit a ground stroke in tennis). Yet, experimental paradigms that aim to examine anticipation continue to use simplistic designs that are not interactive and therefore fail to account for the real-life, social nature of these interactions. Here we propose a fundamental, paradigmatic shift toward a "dynamic interactive anticipation" paradigm that models real-life interactions. We propose that it will change the way behavioral experimentalists study anticipation and spark theory development by unravelling the mechanisms underlying anticipation in real-time interactions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.