Quantifying Children's Emotions with the Emotion Intensity-Linkage Function Model

用情绪强度联动函数模型量化儿童情绪

• 批准号: 7522480
• 负责人: MICHAEL POTEGAL
• 金额: $ 31.12万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-30 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7522480
• 关键词: 2 year old; Accounting; Acoustics; Adopted; Affect; Age; Aggressive behavior; Anger; Area Under Curve; Behavior; Behavior Control; Behavioral; Benign; Calendar; Categories; Characteristics; Child; Child Behavior; Childhood; Clinical; Clinical Research; Code; Computer information processing; Condition; Crying; Data; Depressed mood; Development; Diagnosis; Discipline; Disease regression; Distress; Drops; Emotional; Emotions; Equation; Facial Expression; Facility Construction Funding Category; Factor Analysis; Feeling; Future; Goals; Home environment; Intervention; Measures; Methodology; Modeling; Numbers; Observational Study; Operative Surgical Procedures; Parents; Physical Restraint; Policies; Principal Component Analysis; Probability; Problem behavior; Procedures; Process; Public Health; Published Comment; Purpose; Rate; Regulation; Reporter; Reporting; Research; Science; Socialization; Specific qualifier value; Techniques; Testing; Time; Training; Variant; Video Recording; Work; anti social; base; behavior influence; driving behavior; early childhood; emotion regulation; experience; falls; improved; interest; knowledge base; novel; programs; repaired; response; social; social attachment; vocalization

DESCRIPTION (provided by applicant): Tantrums are a near universal and highly salient feature of emotional development. From parents' perspective, they are among the most commonly reported childhood behavioral problems. From a psychopathological perspective, tantrums persisting to age 8 predict future antisocial behavior. Scientifically, tantrums are a window onto emotions so intense as to be otherwise inaccessible to observation. Our goal in this study is to complete a quantitative, behaviorally based model of the emotional/behavioral processes comprising tantrums. Our previous factor analyses and multidimensional scaling converged to show that tantrums are composed of two independent but temporally overlapping emotional/ behavioral processes, Anger and Distress. Anger is associated with specific behaviors that are ordered by intensity, e.g., low anger is associated with stamping and high anger with screaming. We have already successfully modeled the rise and fall of tantrum anger as a Beta function and its control of the behaviors that express it as logit- polynomial "linkage functions." In this study, we will incorporate Distress behaviors (crying, whining, dropping down, comfort seeking) into a 2 variable, Emotion Intensity-Behavioral Linkage Function (EI- BLF) model that will specify the influence of each emotion on the set of tantrum behaviors. The model will also include the effects of parental intervention on children's emotions. An already developed methodology for audio/video recording of in-home tantrums will provide new, more temporally precise data for the acoustic spectral analyses of tantrum vocalizations, FACs coding of facial expression, and GEE statistical techniques used to construct the model. This work will improve the understanding of the escalation, regulation and socialization of anger; inform social information processing models of aggression; and benefit clinical research, diagnosis and treatment by scaling the intensity of anger associated with various angry behaviors. More generally, the EI-BLF model will help define the relationship between emotions and their behavioral expression. PUBLIC HEALTH RELEVANCE: This project will complete the Emotion Intensity-Behavioral Linkage Function model of anger and sadness in children's tantrums. This novel, quantitative, behaviorally-based model will measure the emotions of young children who are unreliable reporters of their own feelings. Application of this model will improve the understanding of the escalation, regulation and socialization of anger; inform social information processing models of aggression; and benefit clinical research, diagnosis and treatment by scaling the intensity of anger associated with various clinical conditions.

描述（由申请人提供）：发脾气是一种近乎普遍且非常显著的情感发展特征。从父母的角度来看，他们是最常见的儿童行为问题之一。从精神病理学的角度来看，持续到8岁的发脾气预示着未来的反社会行为。科学地说，发脾气是观察情绪的窗口，这种情绪是如此强烈，否则无法观察到。我们在这项研究中的目标是完成一个定量的，基于行为的情绪/行为过程模型，包括发脾气。我们之前的因素分析和多维尺度分析表明，发脾气是由两个独立但在时间上重叠的情绪/行为过程组成的，即愤怒和痛苦。愤怒与根据强度排序的特定行为有关，例如，低愤怒与跺脚有关，高愤怒与尖叫有关。我们已经成功地将发脾气的起起落落建模为Beta函数，并将其对行为的控制表示为logit-多项式“联系函数”。在本研究中，我们将痛苦行为（哭闹、抱怨、摔倒、寻求安慰）纳入一个2变量的情绪强度-行为联系函数（EI- BLF）模型，该模型将指定每种情绪对发脾气行为集的影响。该模型还将包括父母干预对儿童情绪的影响。已经开发的一种用于家庭发脾气的音频/视频记录方法将为发脾气发声的声学光谱分析、面部表情的FACs编码和用于构建模型的GEE统计技术提供新的、更精确的时间数据。这项工作将提高对愤怒的升级、调节和社会化的理解；攻击性的Inform社会信息加工模型；并通过衡量与各种愤怒行为相关的愤怒强度，对临床研究、诊断和治疗有益。更一般地说，EI-BLF模型将有助于定义情绪与其行为表达之间的关系。公共卫生相关性：本项目将完成儿童发脾气中愤怒和悲伤的情绪强度-行为关联函数模型。这种新颖的、定量的、基于行为的模型将测量幼儿的情绪，这些幼儿对自己的感受是不可靠的。该模型的应用将提高对愤怒的升级、调节和社会化的理解；攻击性的Inform社会信息加工模型；并通过衡量与各种临床状况相关的愤怒强度，对临床研究、诊断和治疗有益。