DHB Testing a Dynamic Theory of Social Emotions using Infrared Imaging

DHB 使用红外成像测试社会情绪的动态理论

• 批准号: 0729396
• 负责人: Dawn Robinson
• 金额: $ 71.74万
• 依托单位: University of Georgia Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-01-15 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0729396&HistoricalAwards=false
• 关键词: DHB; Testing; Dynamic; Theory; Social

Emotions play a key role in cognition, motivation, identity processes and social interactions. Yet, there is little research on how emotions unfold over the course of interaction. This void stems from a shortage of techniques that are unobtrusive and that reliably and validly measure emotions, rather than a void in theoretical development. In fact, recent theoretical advances suggest the importance of studying emotional transitions and make clear predictions about emotion sequencing. The current research tests the prediction that certain emotional transitions are affectively easier to make than others, suggesting that there are "optimal" paths of transformation that connect various emotional states. For any two emotions, these optimal paths specify the intermediary feeling states that ideally connect them, making it easier to move between them by transitioning through these intermediary states. The current research refines and validates the use of infrared thermography for measuring regional changes in facial temperature to discriminate different emotional states and then employs this technique to test theoretically derived hypotheses about the sequencing of emotions in social interaction. Initial experiments address how the relative temperature of specified regions of the face can be used to measure the three core dimensions of emotion: affect, potency, and activity. These experiments develop thermographic procedures for differentiating (1) positive and negative affect; (2) energized and relaxed affect; and (3) strong and weak affect. Subsequent experiments use these new techniques to measure changes in emotional states during on-going interaction, testing theoretical predictions about the sequencing of emotions that individuals experience when moving from one emotion state to another. The project will advance theoretical knowledge about emotions in social interactions by testing dynamic models in temporally sensitive and non-reactive ways. This theoretical knowledge has potential applications in clinical settings, educational arenas, and the workplace. Further, the measurement techniques refined by this project hold promise for the study of emotions in a wide-variety of social settings. Finally, this project provides direct educational and mentoring opportunities for a diverse and interdisciplinary set of graduate and undergraduate researchers who serve as members of the project team.

情绪在认知、动机、认同过程和社会互动中起着关键作用。然而，很少有关于情感如何在互动过程中展开的研究。这种空白源于缺乏不引人注目的、可靠有效地测量情绪的技术，而不是理论发展的空白。事实上，最近的理论进展表明了研究情绪转变的重要性，并对情绪序列做出了明确的预测。目前的研究验证了这样一个预测，即某些情绪转换在情感上比其他情绪转换更容易，这表明存在连接各种情绪状态的“最佳”转换路径。对于任何两种情绪，这些最佳路径都指定了理想地连接它们的中间情感状态，通过这些中间状态的转换，可以更容易地在它们之间移动。目前的研究完善和验证使用红外热成像测量面部温度的区域变化，以区分不同的情绪状态，然后采用这种技术来测试理论推导的假设在社会交往中的情绪排序。 最初的实验解决了如何使用面部特定区域的相对温度来测量情绪的三个核心维度：影响，效力和活动。 这些实验开发了区分（1）积极和消极情绪的热成像程序;（2）充满活力和放松的情绪;（3）强烈和微弱的情绪。随后的实验使用这些新技术来测量正在进行的互动过程中情绪状态的变化，测试有关个人从一种情绪状态转移到另一种情绪状态时所经历的情绪序列的理论预测。 该项目将通过以时间敏感和非反应性的方式测试动态模型来推进关于社会互动中情绪的理论知识。 这种理论知识在临床环境，教育领域和工作场所有潜在的应用。此外，该项目改进的测量技术有望在各种社会环境中研究情绪。最后，该项目为作为项目团队成员的研究生和本科生研究人员提供了直接的教育和指导机会。