The patterns the authors report matter because they reveal how people manage effort and identity under pressure. Stronger players and those facing tougher opponents often keep playing even when losing, which suggests norms, goals, or perceived learning opportunities shape persistence. At the same time, having quit before makes quitting more likely later, while recent quits sometimes reduce future quitting, implying competing influences from habit and short-term regulation. These dynamics tie into broader ideas about resource-rational choice and metacognition, where people weigh costs, benefits, and self-beliefs when deciding to continue.
Understanding quitting as a distinct decision type opens paths for helping people learn, compete, and stay engaged in fairer ways. If quitting reflects metacognitive judgments about capacity, strategy, and identity, then tools that surface those judgments could support better choices across domains from education to work. Follow the full article to see how the authors build a metacognitive model and what it could mean for designing environments that sustain growth and inclusion.
Abstract
Decisions to stop or quit are often described as choices to switch to alternative activities once the current activity ceases to be rewarding. However, popular models of stopping—such as optimal foraging theory and recent metacognitive frameworks—fail to fully capture the nuanced differences in behavior between quitting and stopping. While quitting is closely related to stopping, it remains a phenomenologically distinct experience. The absence of a clear, separate definition for quitting motivates the present study. We investigate the contextual and noncontextual factors influencing quitting decisions among chess players, utilizing a large dataset of games from an online chess platform. Our analysis reveals that players tend to persevere in higher skill brackets and against stronger opponents when they are performing poorly. Additionally, a history of quitting increases the likelihood of quitting in future games, although recent quitting episodes can have protective effects. We also find that quitting influences subsequent behavior, with players often playing more games after a recent quit. We discuss these findings within the broader context of resource-rational and metacognitive approaches. Finally, we provide a metacognitive account of quitting decisions with the aim to derive better models of complex decision-making.
