RAPID: Emotional and Cognitive Responses to Political Messages

该研究考察了个人在辩论中对候选人之间来回的情绪和认知反应。民意测验检验(1)人们对候选人的情绪反应，(2)人们在辩论提供的信息中学习的情况，(3)人们在辩论后对候选人的评价。在实验中，人们被随机分配到实验组（实时观看辩论）和控制组（观看非政治视频）。在观看辩论（或视频）之前，人们要完成一份预测问卷。当受试者在平板电脑上观看辩论（或视频）时，人们的面部反应将通过平板电脑上的摄像头记录下来。辩论（和视频）结束后，受试者完成一份测试后问卷。将传统的调查方法与最先进的面部识别软件相结合，将使我们能够整理出对这场政治竞赛的认知和情感反应。2016年美国总统大选为这项个人层面对政治辩论的反应的实验研究提供了感兴趣的候选人。该研究考察了个人在辩论中对候选人之间来回的情绪和认知反应。民意测验检验(1)人们对候选人的情绪反应，(2)人们在辩论提供的信息中学习的情况，(3)人们在辩论后对候选人的评价。在实验中，人们被随机分配到实验组（实时观看辩论）和控制组（观看非政治视频）。在观看辩论（或视频）之前，人们要完成一份预测问卷。当受试者在平板电脑上观看辩论（或视频）时，人们的面部反应将通过平板电脑上的摄像头记录下来。辩论（和视频）结束后，受试者完成一份测试后问卷。pi使用软件（Affectiva's Affdex）来测量人们的面部表情，表示(1)效度（对刺激的积极或消极反应）(2)对刺激的注意力(3)情绪反应。面部识别软件记录数据并显示特定情绪的实时读数。将传统的调查方法与最先进的面部识别软件相结合，将使我们能够整理出对政治竞争的认知和情感反应。

General SummaryThe study examines the individuals' emotional and cognitive responses to the back and forth between candidates during debates. The PIs examine (1) people's emotional responses to candidates, (2) people's learning during the information provided by the debate and (3) people's evaluations of the candidates after the debate. In the experiment, people are randomly assigned to either the experimental condition (watching the debate in real time) or the control condition (watching a non-political video). Before watching the debate (or video), people complete a pretest questionnaire. As subjects watch the debate (or video) on a tablet, people's facial responses will be recorded via the camera on the tablet. After the debate(and video) has concluded, subjects complete a posttest questionnaire. Coupling traditional survey methodology with state of the art facial recognition software will enable us to sort out the cognitive and affective responses to this political contest. The 2016 U.S. Presidential election provides the candidates of interest for this experimental study of individual level response to political debate. Technical SummaryThe study examines the individuals' emotional and cognitive responses to the back and forth between candidates during debates. The PIs examine (1) people's emotional responses to candidates, (2) people's learning during the information provided by the debate and (3) people's evaluations of the candidates after the debate. In the experiment, people are randomly assigned to either the experimental condition (watching the debate in real time) or the control condition (watching a non-political video). Before watching the debate (or video), people complete a pretest questionnaire. As subjects watch the debate (or video) on a tablet, people's facial responses will be recorded via the camera on the tablet. After the debate(and video) has concluded, subjects complete a posttest questionnaire. The PIs use software (Affectiva's Affdex) to measure people's facial expressions signifying (1) valence (positive or negative reaction to stimuli) (2) attentiveness to stimuli (3) emotional response. The facial recognition software records data and displays real-time readouts of specific emotions. Coupling traditional survey methodology with state of the art facial recognition software will enable us to sort out the cognitive and affective responses to political contest.