PostDoctoral Research Fellowship

智力优势。有确凿的证据表明，欺骗往往会渗透到欺骗者的行为中;然而，很少或根本没有解释这些动作如何直接与欺骗的认知过程联系起来。为了解决这个问题，研究员提出了一个新的研究范式，其动机是身体和心灵之间不可分割的联系。在这样做的过程中，拟议的研究通过以下几个独特的贡献：1）使用基于行动和协调动力学的共同认知框架来评估一系列欺骗行为，2）在非线性动力系统和欺骗现象的研究方法之间建立联系，3）使用最先进的技术来捕捉欺骗行为，4）优化预测算法以区分谎言与真相。更广泛的影响。一个处于21世纪的社会，其基本任务是保护其重要的国家安全利益，使其免受新出现的威胁。根据美国国土安全部的说法，这样做的一个必要目标是开发上级方法来发现和防止个人试图使用欺骗手段。这项研究为在全球社会中实现这一目标提供了一个独特的机会。来自美国和英国的研究人员将利用认知科学理论，方法和分析的前沿见解来识别欺骗的新行为标记。将这项研究传播到公共领域将引入以科学为基础的措施，为其他措施提供非侵入性，低风险和高影响的替代方案。此外，由于该研究员的方法是基于对有罪的公正评估，它不会受到主观的，有时是偏见的偏见，这是导致某些少数群体的错误定罪和虚假指控的一个因素。最后，这个研究计划有可能激发学生对所有STEM相关领域的兴趣：科学依赖于认知和动力学理论，技术使用运动跟踪工具，工程开发技术来检测欺骗，数学采用复杂的动力学分析。该研究员已经是美国一所主要城市大学的积极导师，该大学40%的学生来自传统上代表性不足的群体。该奖学金允许PI扩大学生参与的指导范围，并为学生提供在未来职业生涯中探索STEM相关研究的机会。

Intellectual Merit. There is well-established evidence that deception often leaks into a deceiver's actions; however, there is little to no explanation as to how these movements are directly connected to the cognitive processes of deception. To address this problem, the Fellow presents a new research paradigm that is motivated by the inextricable connection between body and mind. In doing so, the proposed research makes several unique contributions by 1) using a common cognitive framework based on action and coordination dynamics to evaluate a range of deceptive behaviors, 2) forging connections between methods for the study of nonlinear dynamical systems and deceptive phenomena, 3) using state-of-the-art technologies to capture deceptive behaviors, 4) optimizing prediction algorithms for distinguishing deception from truth.Broader Impacts. A society in the 21st century has a fundamental mandate to protect its vital national security interests from emerging threats. According to the U.S. Department of Homeland Security, a necessary objective in doing so is to develop superior methods for detecting and preventing an individual's attempt to employ deception. This research provides a unique opportunity to pursue this objective within a global society. Researchers from the U.S. and U.K. will take advantage of insights from the forefront of cognitive science theory, methodology, and analysis to identify novel behavioral markers of deception. The dissemination of this research into the public domain will introduce scientifically-based measures that offer a non-invasive, low-risk, and high-impact alternative to other measures. Furthermore, because the Fellow's approach is based on an impartial assessment of guilt, it does not suffer from subjective and sometimes prejudiced biases that have been a contributing factor in the wrongful convictions and false accusations of certain minority groups.Finally, this research program has the potential to pique students' interest in all STEM-related fields: Science in the reliance on cognitive and dynamical theory, Technology in the use of motion tracking tools, Engineering in developing techniques to detect deception, and Mathematics in employing sophisticated dynamical analysis. The Fellow is already an active mentor at a major urban University in the U.S. where 40% of the students come from traditionally underrepresented groups. This Fellowship allows the PI to broaden the scope of mentorship in student participation and in providing opportunities for students to explore STEM-related research in their future careers.