Cultural dimension in emotion recognition for human machine interaction

Human emotion recognition is a multidimensional task. In this paper we study the effect of the cultural dimension in emotion recognition models and their use in human computer interaction. We prepared two experiments to analyze the consequences of disregarding culture in emotion recognition models. The results show that failing to consider the user's culture while applying emotion recognition techniques in interaction scenarios decreases the system's performance, making the emotional input meaningless and detrimental to the system and interaction.

[1]  Mann Oo. Hay.  Emotion recognition in human-computer interaction , 2012 .

[2]  Laura K. Guerrero,et al.  Handbook of communication and emotion : research, theory, applications, and contexts , 1998 .

[3]  Takehisa Onisawa,et al.  Considering cross-cultural context in the automatic recognition of emotions , 2015, Int. J. Mach. Learn. Cybern..

[4]  T. Onisawa,et al.  A Spontaneous Cross-Cultural Emotion Database: Latin-America vs. Japan , 2014 .

[5]  Oliver G. B. Garrod,et al.  Facial expressions of emotion are not culturally universal , 2012, Proceedings of the National Academy of Sciences.

[6]  K. Scherer,et al.  In the eye of the beholder? Universality and cultural specificity in the expression and perception of emotion. , 2011, International journal of psychology : Journal international de psychologie.

[7]  Moshe Bar,et al.  Cultural Specificity in Amygdala Response to Fear Faces , 2008, Journal of Cognitive Neuroscience.

[8]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[9]  H. Markus,et al.  Culture and the self: Implications for cognition, emotion, and motivation. , 1991 .

[10]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[11]  Zhihong Zeng,et al.  A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions , 2009, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  P. Ekman,et al.  Strong evidence for universals in facial expressions: a reply to Russell's mistaken critique. , 1994, Psychological bulletin.

[13]  D. Keltner,et al.  Culture and Facial Expression: Open-ended Methods Find More Expressions and a Gradient of Recognition , 1999 .

[14]  Björn W. Schuller,et al.  Categorical and dimensional affect analysis in continuous input: Current trends and future directions , 2013, Image Vis. Comput..

[15]  D. Sauter,et al.  Commonalities outweigh differences in the communication of emotions across human cultures [Letter to the editor] , 2013 .