From discrete to continuous online limb-target regulation processes: A matter of time?

Abstract

A pseudo-continuous model of online sensorimotor control suggests that visual information is gathered from peak acceleration until the end of an upper-limb movement (see Elliott et al., 2010). Although seminal evidence for the model employed relatively slow movements, Tremblay et al. (2013; 2017) have provided evidence for optimal online visual information utilization during early stages of fast reaching movements (i.e., ~350 ms). The current study examined the generalizability of these results to faster and slower reaching movements (i.e., 350 ms or 700 ms). Participants initially saw the target (30 cm) for 50 ms, while fixating on their finger (located on the home position). During movement, visual feedback was provided in 20 ms windows at one of three proportions of the expected peak limb velocity (i.e., 35%, 60% & 85%). During the windows, the original target or a new 27 cm target was illuminated. The target-jump condition attempted to elicit limb-target regulation processes. For faster movements, endpoint accuracy results indicated that corrections only occurred in the earliest window condition (i.e., 35%). For the slower movements, participants corrected in all window conditions. Overall, the strategy to implement a single correction (i.e., time from movement end, Beggs & Howarth, 1970) was supported for faster movements, whereas the pseudo-continuous model (Elliott et al., 2010) was supported for slower movements. An overarching explanation of the time from movement end can explain both online visual feedback utilization strategies. Theoretically, online visual uptake strategies could be merely dependent on the time available for utilization, to implement amendments.

Acknowledgments: University of Toronto, Natural Sciences and Engineering Research Council of Canada (NSERC), Canada Foundation for Innovation (CFI), Ontario Research Fund (ORF).