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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:致力于研究人机交互过程中动机和情感变量对性能的影响的转换方法

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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:操作神经科学的主要目标是创建将实验室观察结果与实际应用联系起来的转化途径。要实现这一点,就需要一种方法,该方法能够研究通常在受控实验室环境下不会出现的操作员绩效差异。本文描述了这种范例的发展。设计过程的一个基本方面涉及在不使用外部激励(例如金钱)作为激励压力的情况下引起受试者的参与,而是利用适当的内在激励(即竞争压力)。最初考虑了两种竞争来源,一种是基于自我竞争,另一种是基于与另一个人的竞争。最终,选择了后一种方法。一个虚拟的竞争对手被设计为以特定的方式影响瞬时成功和失败的个体评估,初步结果揭示了成功实现此目标的早期指标。讨论的重点是使用类似的翻译范例对未来研究的影响和挑战。

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