关键词: 调节焦点理论(RFT), 矿工风险决策, 人格, 特质正念, 眼动追踪技术

Abstract:

In order to explore the causes of miners' risk decision-making and achieve precise pre-control of their risk behaviors, this study first employed RFT, principal component analysis(PCA) and latent profile analysis(LPA) to reduce the dimensionality and classify two types of individual factors—personality and trait mindfulness. Four main factors were extracted: calm awareness, stable responsibility, expressive action, and social agreeableness. Miners were categorized into promotion-focused and prevention-focused types. Next, using eye-tracking technology and behavioral experiments, a sequential risk decision-making task was selected to analyze miners' eye movement and behavioral characteristics during the risk decision-making test, examining the risk tendencies of different regulatory focus types. The results show that promotion-focused miners exhibit greater attention to high-reward options and higher sensitivity to missed opportunities during risk decision-making, whereas prevention-focused miners demonstrate more conservative behavioral traits.

Key words: regulatory focus theory(RFT), miners' risk decision-making, personality, trait mindfulness, eye-tracking technology