Communication atmosphere in humans and robots interaction based on the concept of fuzzy atmosfield generated by emotional states of humans and robots
Communication atmosphere in humans and robots interaction based on the concept of fuzzy atmosfield generated by emotional states of humans and robots
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发表时间：
2013
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通讯作者：
Zhen-Tao Liu;Min Wu;Dan-Yun Li;Luefeng Chen;F. Dong;Y. Yamazaki;K. Hirota
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作者：
Zhen-Tao Liu;Min Wu;Dan-Yun Li;Luefeng Chen;F. Dong;Y. Yamazaki;K. Hirota
基于人类和机器人的情感状态的通信氛围通过使用模糊氛围（FA）来建模，其中人类情感从双峰通信线索（即，语音和手势），使用加权融合和模糊逻辑，和机器人情感的情感表达合成产生。它可以定量地表达个体的整体情感表达，有助于促进人机交互中的顺畅沟通。在家庭环境中的实验由四个人和五个眼睛的机器人进行，其中基于双峰线索的人类情感识别平均达到84%的准确率，与仅使用语音相比提高了约10%。通过与问卷调查的比较，验证了基于FA的传播氛围模型的实验结果，FA中三个轴的最大误差为0.25，最小相关系数为0.72，验证了该模型的有效性。在正在进行的工作中，正在计划一个气氛表示系统，用于人类和机器人之间的随意通信，考虑到多种情感模式，如语音，手势和音乐。
Communication atmosphere based on emotional states of humans and robots is modeled by using Fuzzy Atmosfield (FA), where the human emotion is estimated from bimodal communication cues (i.e., speech and gesture) using weighted fusion and fuzzy logic, and the robot emotion is generated by emotional expression synthesis. It makes possible to quantitatively express overall affective expression of individuals, and helps to facilitate smooth communication in humans-robots interaction. Experiments in a household environment are performed by four humans and five eye robots, where emotion recognition of humans based on bimodal cues achieves 84% accuracy in average, improved by about 10% compared to that using only speech. Experimental results from the model of communication atmosphere based on the FA are evaluated by comparing with questionnaire surveys, from which the maximum error of 0.25 and the minimum correlation coefficient of 0.72 for three axes in the FA confirm the validity of the proposal. In ongoing work, an atmosphere representation system is being planned for casual communication between humans and robots, taking into account multiple emotional modalities such as speech, gesture, and music.