PostDoctoral Research Fellowship

智力上的功绩。有确凿的证据表明，欺骗经常渗透到欺骗者的行为中；然而，对于这些运动如何与欺骗的认知过程直接相关，几乎没有解释。为了解决这个问题，这位研究员提出了一种新的研究范式，该范式的动机是身体和精神之间密不可分的联系。通过使用基于动作和协调动力学的通用认知框架来评估一系列欺骗行为，2)在研究非线性动力系统和欺骗现象的方法之间建立联系，3)使用最先进的技术来捕获欺骗行为，4)优化预测算法来区分欺骗和真实，该研究做出了几个独特的贡献。21世纪的社会肩负着保护其至关重要的国家安全利益不受新出现威胁的根本使命。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出更好的方法来检测和防止个人使用欺骗的企图。这项研究为在全球社会中追求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、方法论和分析的前沿洞察力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，提供非侵入性、低风险和高影响的替代其他措施。此外，由于这位研究员的方法是基于对罪行的公正评估，它不会受到主观的、有时是偏见的偏见的影响，这些偏见是导致某些少数群体错误定罪和错误指控的一个因素。最后，这个研究项目有可能激发学生对所有与STEM相关的领域的兴趣：依赖认知和动力学理论的科学，使用运动跟踪工具的技术，开发欺骗检测技术的工程学，以及使用复杂的动态分析的数学。这位研究员已经是美国一所主要城市大学的积极导师，那里40%的学生来自传统上代表人数较少的群体。这一奖学金使国际学生联合会扩大了指导学生参与的范围，并为学生在未来的职业生涯中探索与STEM相关的研究提供了机会。

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.