论文标题
夫妻之间的情感认可：一项调查
Emotion Recognition among Couples: A Survey
论文作者
论文摘要
夫妻的关系会影响伴侣的身体健康和情感健康。自动认识到每个伴侣的情绪可以更好地了解他们的个人情感健康，实现干预措施并提供临床益处。在本文中，我们总结并综合了着重于开发和评估系统的作品，以根据夫妻的互动或对话环境自动识别每个伙伴的情绪。我们确定了2010年至2021年之间发表的IEEE，ACM，Web of Science和Google Scholar的28篇文章。我们详细介绍了每项工作的数据集，功能，算法，评估和结果以及目前的主要主题。我们还讨论了当前的挑战，研究差距并提出了未来的研究方向。总而言之，大多数作品都使用了从实验室收集的音频数据，并由外部专家进行注释，并使用了监督的机器学习方法来进行正面和负面影响的二进制分类。绩效结果为改进的空间带来了重大的研究差距，例如使用日常生活中的数据不认可。这项调查将使新的研究人员能够对该领域进行概述，并最终使情感识别系统的开发能够为干预措施提供信息，以改善夫妻的情感健康。
Couples' relationships affect the physical health and emotional well-being of partners. Automatically recognizing each partner's emotions could give a better understanding of their individual emotional well-being, enable interventions and provide clinical benefits. In the paper, we summarize and synthesize works that have focused on developing and evaluating systems to automatically recognize the emotions of each partner based on couples' interaction or conversation contexts. We identified 28 articles from IEEE, ACM, Web of Science, and Google Scholar that were published between 2010 and 2021. We detail the datasets, features, algorithms, evaluation, and results of each work as well as present main themes. We also discuss current challenges, research gaps and propose future research directions. In summary, most works have used audio data collected from the lab with annotations done by external experts and used supervised machine learning approaches for binary classification of positive and negative affect. Performance results leave room for improvement with significant research gaps such as no recognition using data from daily life. This survey will enable new researchers to get an overview of this field and eventually enable the development of emotion recognition systems to inform interventions to improve the emotional well-being of couples.
