Using automated, integrated technology to study emotion and development via the Facility for Affective Neuroscience

通过情感神经科学设施，使用自动化、集成技术来研究情绪和发展

• 批准号: RTI-2023-00213
• 负责人: Hayden, Elizabeth
• 金额: $ 5.92万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=764039
• 关键词: Using; automated; integrated; technology; study

Humans confront emotionally evocative circumstances repeatedly on any given day, such that detecting and processing emotional information is a key part of human adaptation. It is therefore unsurprising that recent views on brain function highlight the intrinsic, interrelated networks shared by emotion processes and virtually all cognitive domains. However, scientific progress in understanding the development of emotion and its relations to other human behaviors and psychophysiology has been stymied by the measurement challenges associated with assessing emotion constructs across the lifespan. Objectively coded indices of observable emotion expressions (e.g., facial affect) have many benefits; they are generally isomorphic across age (and even species), facilitating studies of emotion over time, and are especially useful in the study of emotion in which self-reported emotion experience may be limited (e.g., children) or unavailable (e.g., unconscious emotion experience). However, human-coded facial affect, the standard historical approach, is tremendously time-consuming to implement and cannot be readily synced with other within-person processes (e.g., psychophysiological changes). Fortunately, relatively recent advances in technology have enabled the automated coding of facial affect. In addition to efficiency, this approach can be integrated with eye-tracking and other psychophysiological data to provide efficient, multi-level analysis of human emotion. As members of the Brain and Mind, an internationally recognized group for cognitive neuroscience, we have the very best tools at our disposal to study the neural correlates of emotion. Unfortunately, we currently lack the equipment needed to efficiently measure facial expressions of emotion contextualized within relevant psychophysiological processes. This methodological gap puts our group at a distinct disadvantage, constraining our research productivity relative to affective scientists who have this cutting-edge, highly efficient means of collecting emotion data. We seek to address this problem by establishing the Facility for Affective Neuroscience (i.e., the FAN), to be equipped with state-of-the-art equipment from Noldus, the leading company in innovation in coding human behavior. This equipment is uniquely capable of seamlessly integrating facial emotion expressions with other behavior and relevant psychophysiological processes.  Multiple investigators and trainees will access the FAN, accelerating ongoing emotion research, facilitating brand-new lines of research, and enhancing HQP training in Canada. The FAN will complement Western's significant extant neuroscience resources by facilitating the objective measurement of emotion and its psychophysiological correlates using the best available technology, permitting a rich characterization of the intrinsic interplay between the brain, emotion, and other behavioral domains.

人类在任何一天都会反复面对情绪唤起的情况，因此检测和处理情绪信息是人类适应的关键部分。因此，最近关于大脑功能的观点强调了情感过程和几乎所有认知领域所共有的内在的、相互关联的网络，这也就不足为奇了。然而，在理解情绪的发展及其与其他人类行为和心理生理学的关系方面的科学进展一直受到与评估整个生命周期的情绪结构相关的测量挑战的阻碍。可观察情感表达的客观编码指数（例如，面部情感）具有许多益处;它们通常在不同年龄（甚至物种）上是同构的，便于随时间的情感研究，并且在自我报告的情感体验可能有限的情感研究中特别有用（例如，儿童）或不可用（例如，无意识的情感体验）。然而，人类编码的面部情感，标准的历史方法，实现起来非常耗时，并且不能容易地与其他人内过程同步（例如，心理生理变化）。幸运的是，相对较新的技术进步已经使面部情感的自动编码成为可能。除了效率之外，这种方法还可以与眼动跟踪和其他心理生理数据相结合，以提供对人类情感的有效的多层次分析。作为国际公认的认知神经科学组织“大脑与心灵”的成员，我们拥有最好的工具来研究情绪的神经相关性。不幸的是，我们目前缺乏所需的设备来有效地测量面部表情的情绪情境中相关的心理生理过程。这种方法上的差距使我们的团队处于明显的劣势，限制了我们的研究生产力相对于情感科学家谁拥有这种尖端的，高效的手段收集情感数据。我们试图通过建立情感神经科学设施（即，FAN），配备Noldus最先进的设备，Noldus是人类行为编码创新的领先公司。该设备能够将面部情绪表情与其他行为和相关的心理生理过程无缝集成。多名研究人员和学员将访问FAN，加速正在进行的情绪研究，促进全新的研究路线，并加强加拿大的HQP培训。FAN将通过使用最佳可用技术促进情绪及其心理生理学相关性的客观测量来补充西方重要的现存神经科学资源，允许对大脑，情绪和其他行为领域之间的内在相互作用进行丰富的表征。