{"version":"1.0","type":"rich","title":"从保龄球看“想太多”——把直球得分、补中、运动学习、OODA、空间认知与AI验证连接起来","author_name":"Mendoi-chan","author_url":"https://mendoi-apps.com/zh-hans/about/","provider_name":"mendoi-apps","provider_url":"https://mendoi-apps.com/","cache_age":3600,"thumbnail_url":"https://mendoi-apps.com/og/site-zh-Hans.png","thumbnail_width":1200,"thumbnail_height":630,"html":"<blockquote class=\"mendoi-embed\" lang=\"zh-Hans\" cite=\"https://mendoi-apps.com/zh-hans/articles/allja-01617c7a4395e373051e/\"><p><a href=\"https://mendoi-apps.com/zh-hans/articles/allja-01617c7a4395e373051e/\">从保龄球看“想太多”——把直球得分、补中、运动学习、OODA、空间认知与AI验证连接起来</a></p><p>这一问题也属于运动学习。大型元分析曾发现，把注意放在“球穿过这个箭头”这样的外部结果上，通常优于不断监控手腕、肘、肩等身体部位 [R6]；但考虑发表偏差后的再分析认为平均效应可能很小 [R7]。因此实用结论不是“不要思考”，而是把复杂分析放到动作前后，动作进行时减少控制变量。</p><footer>Mendoi-chan · <a href=\"https://mendoi-apps.com/zh-hans/\">mendoi-apps</a></footer></blockquote>","width":600,"height":240}