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Negotiation skills training intervention based on automated recognition of human emotion and non-verbal behaviour.

基于人类情感和非语言行为自动识别的谈判技能训练干预。

基本信息

批准号：
2295385
负责人：
金额：
--
依托单位：
Brunel University London
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2295385
关键词：
Negotiation skills training intervention based

项目摘要

Details and Aims of my research: My research explores the effect of 'social signals' feedback intervention based on automated recognition of affect and non-verbal behaviours within the context of negotiation skills training. In my work I use several off-the-shelf technologies; Sociometric badges, iMotions Biometric Research Platform and Nemesysco Layered Voice Analysis, to recognise and analyse emotional expressions, vocal emotions, and body movement. A controlled experiment is used to compared standard negotiation skills feedback to feedback augmented with emotion and sensor-based social skills evaluation to explore whether negotiation performance and use of social signals vary depending on feedback condition. In my research, I focus on paired-negotiation tasks with three conditions: control (standard feedback) vs. two experimental conditions; one where both negotiators in the pair received the augmented feedback; one where only one of the pair received the augmented feedback. I collect objective and subjective measures of negotiation performance, and emotion and social signals data in order to test the following hypotheses: Hypothesis 1: measurable changes in social signals will be evident following training in negotiation skills; changes will be greater in those who receive social signals feedback. Hypothesis 2: training using social signals feedback will result in differences in negotiation outcomes (measured objectively and subjectively).Future Contributions and Applications: I am looking to find out the extent to which theories of emotion and social signals can be incorporated into practical reality, as well as any potential effects of social signal, voice and facial expressions on negotiation practice and outcomes. Future practical implications of my research are in joint gain negotiation outcomes that could benefit negotiation skills teaching and learning environments.

我的研究的细节和目的：我的研究探讨了“社会信号”反馈干预的影响，基于自动识别的影响和非语言行为的背景下，谈判技能培训。在我的工作中，我使用了几种现成的技术;社会计量徽章，iMotions生物识别研究平台和Nemesysco分层语音分析，以识别和分析情感表达，声音情感和身体运动。通过控制实验比较了标准的谈判技能反馈与情感反馈和基于传感器的社交技能评估，以探讨谈判绩效和社交信号的使用是否会因反馈条件而异。在我的研究中，我专注于三个条件下的成对谈判任务：控制（标准反馈）与两个实验条件;一个是两个谈判者都收到了增强反馈;一个是只有一个人收到了增强反馈。我收集了客观和主观的谈判表现的措施，情绪和社会信号的数据，以测试以下假设：假设1：可测量的变化，社会信号将是明显的谈判技巧的培训后，变化会更大，在那些谁收到社会信号反馈。假设二：使用社会信号反馈的训练将导致谈判结果的差异（客观和主观测量）。未来的贡献和应用：我希望找出情绪和社会信号理论在多大程度上可以融入实际生活，以及社会信号，声音和面部表情对谈判实践和结果的任何潜在影响。未来的实际意义，我的研究是在共同获得谈判的结果，可以有益于谈判技巧的教学和学习环境。