Quantifying the time course of tantrum anger

量化发脾气的时间过程

• 批准号: 6823730
• 负责人: MICHAEL POTEGAL
• 金额: $ 19.57万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-03 至 2006-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6823730
• 关键词: angers; audiotape; behavioral /social science research tag; clinical research; face expression; human subject; mathematical model; model design /development; preschool child (1-5); statistics /biometry; videotape /videodisc; vocalization

DESCRIPTION (provided by applicant): Although anger is an important emotion underlying overt aggression of great social cost, little is known about the relations between anger and the behaviors with which it is associated. The almost ubiquitous tantrums of toddlers provide a window onto anger which can be so intense as to be otherwise inaccessible to systematic observation. Analyses of 330 previously collected tantrums suggest that the rise and fall of different angry behaviors reflects the momentary level of anger. We propose to construct a quantitative model which relates the observed temporal variation in each of the angry behaviors to the changing intensity of anger which drives them all. The model will be tested against a more detailed tantrum data set now being collected. Because all the easily observed angry behaviors are already incorporated into the model, new measures of tantrum anger are needed for empirical testing. To meet this need while opening up a promising new area of study, we will acoustically analyze the unexplored diversity of tantrum vocalics. Screams, shouts, whines, and cries, recorded by microphones sewn into the child's shirt, will be digitized and spectrally analyzed by DFT. Temporal changes in vocalic probability, duration, F0 characteristics, and dysphonation will be compared to the anger trajectory calculated from the simultaneously videotaped behaviors. We will also test the model with FACS coded facial expressions and global anger ratings by parents and pediatric experts. Among the major benefits of successful modeling would be the ability to scale behaviors by anger intensity, to estimate total or maximum tantrum anger, and to compare anger intensity within and between children (e.g., related to tantrum triggers, parental intervention, and childhood psychopathology). This project will also provide a paradigm for the analysis of such time course data. The innovative nature of this research, and its novel application of acoustic analysis to tantrum vocalics, qualifies this application for the R21 program.

描述（由申请人提供）：尽管愤怒是对巨大社会成本的公开侵略的重要情感，但对愤怒与与之相关的行为之间的关系知之甚少。几乎普遍存在的幼儿发脾气为愤怒提供了一个窗口，这种窗口可能是如此强烈，以至于无法访问系统的观察。对先前收集发脾气的330次分析表明，不同愤怒的行为的兴衰反映了瞬间的愤怒水平。我们建议构建一个定量模型，该模型将每个愤怒行为中观察到的时间变化与愤怒强度不断发展的愤怒强度相关联。该模型将针对现在收集的更详细的发脾数据集进行测试。 由于所有容易观察到的愤怒的行为已经纳入模型中，因此需要新的发脾气愤怒措施来进行经验测试。为了满足这一需求，在开放一个有希望的新研究领域，我们将听取发脾气的尚未探索的多样性 人声。麦克风缝在孩子的衬衫上，将尖叫，喊叫，抱怨和喊叫声将通过DFT进行数字化并进行数字化分析。人声概率，持续时间，F0特征和不适的时间变化将与同时录像行为计算出的愤怒轨迹进行比较。我们还将通过FACS编码的面部表情和父母和儿科专家的全球愤怒评级来测试该模型。 成功建模的主要好处之一将是能够通过愤怒强度扩展行为，估计或最大的发脾气愤怒，并比较儿童内部和之间的愤怒强度（例如，与发脾气触发，父母的干预和儿童精神病理学有关）。该项目还将为分析此类时间课程数据提供范式。这项研究的创新性质及其在发脾气声音中的新颖应用中的新应用使该应用程序符合R21计划。