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类人机器人与人类:精神分裂症患者如何识别面部表情的情感效价?一项探索性研究。

Humanoid robots versus humans: How is emotional valence of facial expressions recognized by individuals with schizophrenia? An exploratory study.

作者信息

Raffard Stéphane, Bortolon Catherine, Khoramshahi Mahdi, Salesse Robin N, Burca Marianna, Marin Ludovic, Bardy Benoit G, Billard Aude, Macioce Valérie, Capdevielle Delphine

机构信息

Epsylon Laboratory Dynamic of Human Abilities & Health Behaviors, University of Montpellier 3, Montpellier, France; University Department of Adult Psychiatry, Hôpital de la Colombière, CHRU Montpellier, Montpellier University, Montpellier, France.

Learning Algorithms and Systems Laboratory, School of Engineering, EPFL, Lausanne, Switzerland.

出版信息

Schizophr Res. 2016 Oct;176(2-3):506-513. doi: 10.1016/j.schres.2016.06.001. Epub 2016 Jun 10.

Abstract

BACKGROUND

The use of humanoid robots to play a therapeutic role in helping individuals with social disorders such as autism is a newly emerging field, but remains unexplored in schizophrenia. As the ability for robots to convey emotion appear of fundamental importance for human-robot interactions, we aimed to evaluate how schizophrenia patients recognize positive and negative facial emotions displayed by a humanoid robot.

METHODS

We included 21 schizophrenia outpatients and 17 healthy participants. In a reaction time task, they were shown photographs of human faces and of a humanoid robot (iCub) expressing either positive or negative emotions, as well as a non-social stimulus. Patients' symptomatology, mind perception, reaction time and number of correct answers were evaluated.

RESULTS

Results indicated that patients and controls recognized better and faster the emotional valence of facial expressions expressed by humans than by the robot. Participants were faster when responding to positive compared to negative human faces and inversely were faster for negative compared to positive robot faces. Importantly, participants performed worse when they perceived iCub as being capable of experiencing things (experience subscale of the mind perception questionnaire). In schizophrenia patients, negative correlations emerged between negative symptoms and both robot's and human's negative face accuracy.

CONCLUSIONS

Individuals do not respond similarly to human facial emotion and to non-anthropomorphic emotional signals. Humanoid robots have the potential to convey emotions to patients with schizophrenia, but their appearance seems of major importance for human-robot interactions.

摘要

背景

使用类人机器人在帮助患有自闭症等社交障碍的个体中发挥治疗作用是一个新兴领域,但在精神分裂症方面仍未得到探索。由于机器人传达情感的能力对于人机交互似乎至关重要,我们旨在评估精神分裂症患者如何识别类人机器人展示的正面和负面面部表情。

方法

我们纳入了21名精神分裂症门诊患者和17名健康参与者。在一项反应时间任务中,向他们展示人类面孔和表达正面或负面情绪的类人机器人(iCub)的照片,以及一种非社交刺激。评估患者的症状、心理感知、反应时间和正确答案数量。

结果

结果表明,患者和对照组识别人类面部表情的情感效价比识别机器人面部表情的情感效价更好、更快。与负面人类面孔相比,参与者对正面人类面孔的反应更快,而与正面机器人面孔相比,对负面机器人面孔的反应更快。重要的是,当参与者认为iCub能够体验事物时(心理感知问卷的体验子量表),他们的表现更差。在精神分裂症患者中,阴性症状与机器人和人类负面面孔的识别准确性之间均出现负相关。

结论

个体对人类面部情感和非拟人化情感信号的反应不同。类人机器人有潜力向精神分裂症患者传达情感,但它们的外观似乎对人机交互至关重要。

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