Characterisation of visual guidance of steering to intercept targets following curving trajectories using Qualitative Inconsistency Detection

Albertha A. M. Van Opstal (1) , Remy Casanova (1) , Frank T. J. M. Zaal (2) , Reinoud J. Bootsma (1)

1 ISM - Institut des Sciences du Mouvement Etienne Jules Marey
2 UMCG - University Medical Center Groningen [Groningen]

This study explored the informational variables guiding steering behaviour in a locomotor interception task with targets moving along circular trajectories. Using a new method of analysis focussing on the temporal co-evolution of steering behaviour and the potential information sources driving it, we set out to invalidate reliance on plausible informational candidates. Applied to individual trials rather than ensemble averages, this Qualitative Inconsistency Detection (QuID) method revealed that steering behaviour was not compatible with reliance on information grounded in any type of change in the agent-centred target-heading angle. First-order changes in the environment-centred target's bearing angle could also not adequately account for the variations in behaviour observed under the different experimental conditions. Capturing the observed timing of unfolding steering behaviour ultimately required a combination of (velocity-based) first-order and (acceleration-based) second-order changes in bearing angle. While this result may point to reliance on fractional-order based changes in bearing angle, the overall importance of the present findings resides in the demonstration of the necessity to break away from the existing practice of trying to fit behaviour into a priori postulated functional strategies based on categorical differences between operative heuristic rules or control laws.

Mots clés: Human behaviour; Sensorimotor processing

Domaines: Sciences du Vivant [q-bio]; Psychologie et comportements; Psychologie

Albertha A. M. Van Opstal, Remy Casanova, Frank T. J. M. Zaal, Reinoud J. Bootsma. Characterisation of visual guidance of steering to intercept targets following curving trajectories using Qualitative Inconsistency Detection. Scientific Reports, 2022, 12 (1), ⟨10.1038/s41598-022-24625-4⟩. ⟨hal-03989730⟩