Abstract

The end-spurt and U-shape reflect common pacing patterns across a variety of fields (e.g., running, swimming, cycling). To date, however, the literature lacks a clear, parsimonious account for these effects. Here, I propose these pacing patterns can be accounted for by a psychological mechanism termed perceived impact. As athletes perceive their actions to better affect task-progress, they become more motivated and perform better accordingly. To illustrate, if an athlete has five more laps to go during a race, completing the current lap closes 20% of the remaining distance. Alternatively, when she has two more laps to go, the current lap closes 50% of the remaining distance. In the latter case, the impact of completing a single lap on task-progress is perceived to be higher. Her motivation will increase accordingly near the end of the track – giving rise to an end-spurt. I demonstrate the mechanism’s predictive power by reproducing previous findings through simulations. I then move to discuss how this framework is theoretically insightful in view of previous accounts such as the Central Governor Model and the Psyco-Biological Model. I conclude this work with applied strategies for practitioners in their daily routines.

Highlights

  • People set goals in their everyday lives

  • End-spurts are commonly preceded by an initial decline in performance, from the starting point of a task to its middle; a pacing pattern known as a “U-shape” (e.g., McGibbon et al, 2018)

  • The last interval was faster than its preceding interval: one-mile, t(29) = −3.45, p = 0.001, d = 0.62; 5000-m, t(31) = −4.41, p < 0.001, d = 0.78; 10,000m, t(33) = −4.35, p < 0.001, d = 0.74. These results indicated an end-spurt in all events

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Summary

Introduction

People set goals in their everyday lives. For example, a researcher might set the goal of submitting a grant proposal before a deadline. I suggest the end-spurt and the related U-shape patterns in pacing stem from a simple motivational mechanism – perceived impact: the perceived extent by which one’s actions influence goal-progress.

Results
Conclusion
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