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）：在我们过去使用静止眼动跟踪的工作中，我们已经表明，具有良好注意力能力的老年人可以成功地使用注意力部署来真实的调节他们的情绪。最近，我们研究了情境选择作为一种独特的情绪调节策略，通过创建一个充满选择的情感环境，不同年龄的参与者在情感刺激中做出选择，就像他们在日常生活中可能做的那样。目前的建议是在情感环境中使用移动的眼动跟踪，以便联合收割机将注意力部署的研究与情境选择结合起来。该项目将调查年轻人，中年人和老年人如何动态地使用实时的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;没有以前的工作使用移动的眼动跟踪来研究情绪调节。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特殊的，这取决于他们的选择，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，从事移动的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（研究1中的消极情绪，研究2中的积极情绪）后在情感环境中度过一段时间，并将被指示调节到最佳情绪状态，或与环境自然互动。选择和注视将被记录与移动的眼动跟踪和我们新创建的软件，和情绪将被记录在实时。分析将测试在选择和固定方面存在多大程度的年龄差异，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外，该项目还将产生一种方法和软件，可供其他实验室用于研究整个生命周期的动态固定和情绪调节。