Luneski A, Konstantinidis E, Bamidis P D
Lab of Medical Informatics, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Methods Inf Med. 2010;49(3):207-18. doi: 10.3414/ME0617. Epub 2010 Apr 22.
Affective computing (AC) is concerned with emotional interactions performed with and through computers. It is defined as "computing that relates to, arises from, or deliberately influences emotions". AC enables investigation and understanding of the relation between human emotions and health as well as application of assistive and useful technologies in the medical domain.
Aspects related to the human affective state as a determinant of the human health are discussed, coupled with an illustration of significant AC research and related literature output. Moreover, affective communication channels are described and their range of application fields is explored through illustrative examples.
The presented conferences, European research projects and research publications illustrate the recent increase of interest in the AC area by the medical community. Tele-home healthcare, AmI, ubiquitous monitoring, e-learning and virtual communities with emotionally expressive characters for elderly or impaired people are few areas where the potential of AC has been realized and applications have emerged.
A number of gaps can potentially be overcome through the synergy of AC and medical informatics. The application of AC technologies parallels the advancement of the existing state of the art and the introduction of new methods. The amount of work and projects reviewed in this paper witness an ambitious and optimistic synergetic future of the affective medicine field.
情感计算（AC）关注人与计算机之间以及通过计算机进行的情感交互。它被定义为“与情感相关、源于情感或有意影响情感的计算”。情感计算有助于研究和理解人类情感与健康之间的关系，以及在医学领域应用辅助性和实用性技术。
1）回顾情感计算的总体技术现状及其在医学中的应用；2）在情感计算和医学信息学研究群体之间建立协同效应。
讨论了与作为人类健康决定因素的人类情感状态相关的方面，并举例说明了重要的情感计算研究及相关文献产出。此外，还描述了情感交流渠道，并通过示例探讨了其应用领域范围。
所展示的会议、欧洲研究项目和研究出版物表明，医学领域最近对情感计算领域的兴趣有所增加。远程家庭医疗保健、环境智能、无处不在的监测、电子学习以及针对老年人或残障人士的具有情感表达特征的虚拟社区，是情感计算潜力得以实现且应用已经出现的少数几个领域。
情感计算和医学信息学的协同作用有可能克服一些差距。情感计算技术的应用与现有技术水平的进步以及新方法的引入并行。本文中回顾的工作量和项目见证了情感医学领域一个雄心勃勃且乐观的协同未来。
