Mobile Eye Tracking: Tool for Investigating Emotion Regulation Across Adulthood

移动眼动追踪：研究成年期情绪调节的工具

• 批准号: 8531489
• 负责人: Derek M Isaacowitz
• 金额: $ 23.05万
• 依托单位: NORTHEASTERN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8531489
• 关键词: Adult; Affect; Affective; Age; Aging; Area; Behavior; Behavioral; Behavioral Research; Belief; Code; Cognitive; Computer software; Computers; Custom; Data; Data Analyses; Development; Effectiveness; Elderly; Emotional; Emotions; Environment; Eye; Goals; Health; Human; Individual; Individual Differences; Longevity; Manuals; Marketing; Methods; Modeling; Moods; Nature; Ocular Fixation; Participant; Pattern; Problem Solving; Process; Psychologist; Psychology; Reporting; Research; Research Personnel; Role; Scientist; Source; Stimulus; Techniques; Testing; Time; Use Effectiveness; Wit; Work; age difference; age effect; behavior test; computer human interaction; computer science; computerized data processing; design; emotion regulation; emotional stimulus; improved; method development; middle age; mood regulation; negative mood; positive mood; preference; programs; public health relevance; sample fixation; software systems; theories; tool; young adult

DESCRIPTION (provided by applicant): In our past work using stationary eye tracking, we have shown that older adults with good attentional abilities can successfully use attentional deployment to regulate their moods in real- time. More recently, we have investigated situation selection as a distinct emotion regulation strategy by creating a choice-laden Affective Environment in which participants of different ages make choices among emotional stimuli as they might do in their everyday lives. The current proposal uses mobile eye tracking in the Affective Environment in order to combine the study of attentional deployment with situation selection. The project will investigate how younger, middle-aged, and older adults dynamically use both situation selection and attentional deployment in real-time to regulate how they feel. This work is developmental and exploratory; no previous work has used mobile eye tracking to study emotion regulation. Doing so requires tackling a serious data processing limitation. Every participant's environment is idiosyncratic as a function of their choices, rendering their visual fixation data hard to interpret using currently available software systems. To solve this problem, psychologists working on mobile eye tracking will partner with computer scientists working in game design to create a custom program for associating fixations with selected stimuli, permitting more automated processing and analysis of data. Two studies will be conducted with younger, middle-aged, and older adults: in both, participants will spend time in the Affective Environment after a mood induction (negative mood in Study 1, positive mood in Study 2) and will be instructed to either regulate to the best possible mood state, or to interact naturally wit the environment. Choices and fixations will be recorded with mobile eye tracking and our newly-created software, and mood will be recorded in real-time. Analyses will test the extent to which there are age differences in choices and fixations, as well as how these choices and fixations predict real-time mood regulation. In addition to testing the interplay of situation selection and attentional deployment in real-time ambulatory emotion regulation, this project will yield a method and software that can be used by other labs to study dynamic fixation and emotion regulation across the lifespan.

描述（由申请人提供）：在我们过去使用固定眼动追踪的工作中，我们已经表明，具有良好注意力能力的老年人可以成功地利用注意力部署来实时调节他们的情绪。最近，我们通过创建一个充满选择的情感环境，研究了情境选择作为一种独特的情绪调节策略，在该环境中，不同年龄的参与者在情绪刺激中做出选择，就像他们在日常生活中所做的那样。当前的提案在情感环境中使用移动眼动追踪，以便将注意力部署的研究与情境选择结合起来。该项目将研究年轻人、中年人和老年人如何实时动态地使用情境选择和注意力部署来调节他们的感受。这项工作是发展性和探索性的；之前的工作还没有使用移动眼动追踪来研究情绪调节。这样做需要解决严重的数据处理限制。每个参与者的环境都是因他们的选择而异的，这使得他们的视觉固定数据很难使用当前可用的软件系统来解释。为了解决这个问题，从事移动眼动追踪的心理学家将与从事游戏设计的计算机科学家合作，创建一个自定义程序，将注视点与选定的刺激相关联，从而实现更自动化的数据处理和分析。将针对年轻人、中年人和老年人进行两项研究：在这两项研究中，参与者将在情绪诱导后花时间在情感环境中（研究 1 中的消极情绪，研究 2 中的积极情绪），并被指示调节到最佳的情绪状态，或与环境自然互动。选择和注视将通过移动眼动追踪和我们新创建的软件进行记录，情绪也将被实时记录。分析将测试选择和固定的年龄差异程度，以及这些选择和固定如何预测实时情绪调节。除了测试实时动态情绪调节中情境选择和注意力部署的相互作用之外，该项目还将产生一种方法和软件，其他实验室可以使用该方法和软件来研究整个生命周期的动态固定和情绪调节。