A review of automated emotion recognition points to non-contact technologies

这些自动化技术在情感检测和社会信号处理方面的发展提出了有趣的研究问题，这些问题可以在各种情况下使用。这里提出的具体研究集中在人际任务的培训，与媒体技能培训（即培训，以提供有效的电视或电台采访）的初始用例。该研究的目的是探索基于人类情感和非语言行为的自动识别的培训干预的影响。该项目将使用一些旨在识别情感表达，身体运动和生理信号的技术，初步探索性工作将集中在哪些组合最有希望预测“良好”的面试表现。稍后的实验工作将比较培训干预与不影响为基础的干预所选择的使用环境。

Together these developments in automated technology for the detection of emotion and developing understanding of social signals processing raise interesting research questions regarding the use that can be made of these within various scenarios. The specific research proposed here focusses upon training for interpersonal tasks, with the initial use-case of media skills training (that is training to give an effective TV or radio interview). The aim of the research will be to explore the impact of a training intervention based on automated recognition of human emotion and non-verbal behaviour. The project will use a number of technologies designed to recognise emotional expressions, body movement and physiological signals with initial exploratory work focussing on which combinations are most promising for predicting 'good' interview performance. Later experimental work will compare training interventions with and without affect-based intervention for the chosen contexts of use.