当前位置: X-MOL 学术Front. Neuroinform. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Validation of Affect-tag Affective and Cognitive Indicators
Frontiers in Neuroinformatics ( IF 2.5 ) Pub Date : 2021-04-14 , DOI: 10.3389/fninf.2021.535542
Laurent Sparrow , Hugo Six , Lauren Varona , Olivier Janin

The Affect-tag solution measures physiological signals to deliver indicators derived from cognitive science. In order to provide the most accurate and effective results, a database of electrodermal activity signals acquired using the Affect-tag A1 band was created. An experimental paradigm was designed to measure action-taking, autonomic regulation, cognitive load, emotions and stress, affects, and social stress. The Affect-tag Emotional Power, Emotional Density, and Cognitive Load affective and cognitive indicators were refined based on the physiological responses of 48 participants during these tasks. Statistical significance was obtained for all indicators in tasks they were designed to measure resulting in a total accuracy score of 89% for the combined indicators. Data obtained during this study will be further analyzed to define emotional and affective states

中文翻译:

情感标签情感和认知指标的验证

情感标签解决方案可测量生理信号,以传递源自认知科学的指标。为了提供最准确和有效的结果,创建了使用Affect-tag A1谱带获取的皮肤电活动信号数据库。设计了一个实验范式来衡量行动,自主调节,认知负荷,情绪和压力,情感和社会压力。根据这些任务中48位参与者的生理反应,对“情感标签”的“情感能力”,“情感密度”和“认知负荷”情感和认知指标进行了改进。所有指标在其设计用来衡量的任务中均获得了统计显着性,从而使合并指标的总准确度得分为89%。
更新日期:2021-04-14
down
wechat
bug