Investigating the influence of natural social information on infants’ development of emotion understanding

研究自然社会信息对婴儿情绪理解发展的影响

• 批准号: 10470716
• 负责人: Marissa Ogren
• 金额: $ 6.72万
• 依托单位: RUTGERS THE STATE UNIV OF NJ NEWARK
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10470716
• 关键词: Address; Affective; Age; Age-Months; Anger; Applied Research; Attention; Basic Science; Behavioral; Categories; Child; Child Development; Code; Cognitive; Cognitive Science; Competence; Data; Development; Diagnostic; Early Intervention; Emotional; Emotional disorder; Emotions; Environment; Event; Exposure to; Expressed Emotion; Eye Movements; Face; Facial Expression; Foundations; Goals; Infant; Infant Development; Intervention; Label; Language; Learning; Life; Linguistics; Literature; Measures; Mentorship; Methodology; Mothers; Movement; Nursery Schools; Pattern; Perception; Play; Quality of life; Research; Research Personnel; Science; Specificity; Stereotyping; Thinking; Time; Training; Transcript; Translating; Variant; Visit; base; career; cognitive development; developmental psychology; expectation; experience; improved; novel strategies; peer; recruit; relating to nervous system; response; sensory input; showing emotion; skills; social; success; theories; visual tracking

Project Summary/Abstract The ability to perceive and categorize emotion information early in life is crucial for healthy social cognitive development. Prior research has attempted to identify how infants and young children learn about others’ emotions by examining whether those children can differentiate or label exaggerated, stereotypical facial configurations. However, in real life, emotions are expressed with substantially more variability than what is depicted in these stereotyped configurations. Thus, the actual dynamic input that infants are exposed to as they are forming emotion categories is still unknown. To accurately identify how infants and young children develop emotion categories, it is imperative to first, understand what emotion information (e.g., facial configurations, emotion labels) infants are exposed to in their natural environments, and to second, identify how this natural input relates to infant emotion perception and categorization. The current proposal will address this gap in the literature with two aims. Specifically, Aim 1 will characterize infants’ exposure to social information in their natural environment. Building on this information, Aim 2 will examine the relation between infants’ exposure to natural social information and their emotion perception. Aim 1 will be addressed using an existing corpus of video and audio data. When infants from the corpus are 6, 10, and 14 months of age, videos will be FACS coded to identify what facial configurations are common in infants’ field of view, and audio will be coded for use of emotion labels. For Aim 2, a new group of infants will be recruited to visit the lab longitudinally at the same three time points (6, 10, and 14 months) as those coded in the corpus. Mothers and infants will be recorded as they interact, and these recordings will later be coded for the same emotion information from Aim 1. Then, the infants will take part in an emotion perception task in which highly stereotyped and natural facial configurations will be presented in a categorical oddball paradigm as infant eye movements and ERPs are recorded. This study will explore how natural emotion information from the infants’ mother relates to infant responses to the emotion perception task over time. To accomplish these aims, it is imperative that the applicant gains methodological expertise in behavioral coding (FACS) and ERPs, which will allow her to accurately characterize natural social information, and to determine what emotion information infants implicitly expect to belong within emotion categories. Ultimately, results from this proposal will inform theories of emotional development and may be used to create more targeted interventions for early problems with emotion processing. These aims will be completed under the mentorship of Drs. Vanessa LoBue, Lisa Feldman-Barrett, and Lisa Oakes, who collectively have interdisciplinary expertise in a variety of methodologies and theoretical orientations. The proposed training goals, which focus on building a stronger theoretical and methodological foundation in emotional development, will expand the applicant’s skill set and better prepare her for a successful, independent research career that moves the field of emotional development forward.

项目摘要/摘要 在生命早期感知和分类情绪信息的能力对于健康的社会认知至关重要 发展。先前的研究试图确定婴儿和幼儿如何了解他人 通过检查这些孩子是否可以区分或标记夸张，刻板印象的面部面部面部面部表情来情绪 配置。但是，在现实生活中，情绪的表达比什么都更大的可变性 在这些陈规定型配置中描绘。那就是婴儿暴露于AS的实际动态输入 他们正在形成情绪类别仍然未知。准确地确定婴儿和幼儿 开发情感类别，必须首先，了解哪些情感信息（例如面部 配置，情感标签）婴儿在自然环境中暴露于自己的自然环境中，其次，识别 这种自然输入与婴儿的情绪感知和类别之间的关系。当前的提议将解决 文献中的这一差距有两个目标。具体而言，AIM 1将表征婴儿接触社会 在其自然环境中的信息。在此信息的基础上，AIM 2将检查 婴儿接触自然的社会信息及其情绪的感知。 AIM 1将使用 现有的视频和音频数据语料库。当来自语料库的婴儿为6、10和14个月大时，视频 将对FACS进行编码，以确定婴儿视野中常见的面部配置，音频将是 编码用于使用情绪标签。对于AIM 2，将招募一组新的婴儿来纵向访问实验室 在同一三个时间点（6、10和14个月）与语料库中编码的时间点相同（6、10和14个月）。母亲和婴儿将 在互动时录制，这些录音将在AIM中为相同的情感信息编码 1。然后，婴儿将参与一项情感感知任务，其中刻板印象和自然的面部 随着婴儿的眼动和ERP为 记录。这项研究将探讨婴儿母亲的自然情感信息与婴儿有关 随着时间的流逝，对情感感知任务的响应。为了实现这些目标，必须 申请人获得行为编码（FACS）和ERP的方法论专业知识，这将使她能够 准确地表征自然的社会信息，并隐含地确定哪些情感信息 期望属于情绪类别。最终，该提案的结果将为理论提供信息 情绪发展，可用于为早期问题创建更多针对性的干预措施 加工。这些目标将在DR的心态下完成。 Vanessa Lobue，Lisa Feldman-Barrett， 和丽莎·奥克斯（Lisa Oakes） 方向。拟议的培训目标，其重点是建立更强的理论和方法论 情感发展的基础，将扩大申请人的技能，最好为她做好准备 成功，独立的研究职业发展了情感发展的领域。