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首页> 外文会议>International Conference on Augmented Cognition >Towards a Translational Method for Studying the Influence of Motivational and Affective Variables on Performance During Human-Computer Interactions
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Towards a Translational Method for Studying the Influence of Motivational and Affective Variables on Performance During Human-Computer Interactions

机译：迈向研究励磁和情感变量对人计算机相互作用性能影响的翻译方法

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摘要

A primary goal in operational neuroscience is to create translational pathways linking laboratory observations with real-world applications. Achieving this requires a method that enables study of variability in operator performance that does not typically emerge under controlled laboratory circumstances; the present paper describes the development of such a paradigm. An essential aspect of the design process involved eliciting subject engagement without using extrinsic incentive (e.g. money) as a motivating stressor and, instead, tapping an appropriate intrinsic incentive (i.e. competitive stress). Two sources of competition were initially considered including one based on self-competition and another based on competition with another individual; ultimately, the latter approach was selected. A virtual competitor was designed to affect individual valuation of momentary successes and failures in specific ways and preliminary results revealed early indicators of success in meeting this goal. Discussion focuses on implications and challenges for future research using similar translational paradigms.
机译：运营神经科学的主要目标是创造与现实世界应用的翻译途径连接实验室观察。实现这需要一种方法，可以实现在经常在受控实验室情况下通常出现的操作员性能的可变性的研究;本文介绍了这种范式的发展。设计过程的一个基本方面涉及引发主题参与，而不使用外在激励（例如金钱）作为激励压力源，而是点击适当的内在激励（即竞争压力）。最初考虑了两个竞争来源，包括基于自我竞争和另一个基于与另一个人的竞争的人;最终，选择后一种方法。虚拟竞争对手旨在影响以特定方式和初步结果的个人估值，初步结果揭示了在满足这一目标时取得成功的早期指标。讨论侧重于使用类似翻译范式的未来研究的影响和挑战。

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