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Joint action coordination in expert-novice pairs: Can experts predict novices' suboptimal timing?

机译:专家 - 新手对的联合行动协调:专家可以预测新手的次优吗?

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摘要

Previous research has established that skilled joint action partners use predictive models to achieve temporal coordination, for instance, when playing a music duet. But how do joint action partners with different skill levels achieve coordination? Can experts predict the suboptimal timing of novices? What kind of information allows them to predict novices' timing? To address these questions, we asked skilled pianists to perform duets with piano novices. We varied whether, prior to performing duets, experts were familiar with novices' performances of their individual parts of the duets and whether experts had access to the musical scores including the novices' part of the duet. Familiarity with the score led to better coordination when the score implied a difficult passage. Familiarity with novices' performances led to better joint action coordination for the remaining parts of the duet. Together, the results indicate that experts are surprisingly flexible in predicting novices' suboptimal timing.
机译:以前的研究已经建立了熟练的联合行动合作伙伴使用预测模型来实现时间协调,例如在玩音乐二重奏时。但是如何进行不同技能水平的联合行动合作伙伴实现协调?专家可以预测新手的次优时机吗?什么样的信息允许他们预测新手的时间?为了解决这些问题,我们要求熟练的钢琴家用钢琴新手进行二重唱。我们是否在执行二档之前,专家们熟悉分子的新手的新手,专家是否能够获得包括新手的新手的音乐分数。当分数暗示困难的段落时,熟悉该得分导致更好地协调。熟悉新手的表演导致Duet剩余部分的更好的联合行动协调。结果表明,在预测新手的次优时,专家令人惊讶地灵活。

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