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Vol. 34, No. 8(3), S&M3042

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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 26, Number 7 (2014)
Copyright(C) MYU K.K.
pp. 505-518
S&M1017 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2014.1003
Published: August 28, 2014

Overview of Social Cognitive Ability from the Perspective of Facial Expressions and Context -Estimating Emotion Based on Context Essays and Facial Expressions- [PDF]

Sakiko Ogoshi, Tomohiro Takezawa, Yasuhiro Ogoshi, Hisakazu T. Yanaka and Yoshinori Mitsuhashi

(Received January 14, 2014; Accepted May 1, 2014)

Keywords: facial expressions, context essays, sympathy, social skill training, NIRS

In recent years, increasing numbers of children have unbalanced emotional developments and sociability, particularly individuals with autistic spectrum disorders (ASD), and have difficulty inferring other people's feelings from their facial expressions and contexts, and therefore, they are less able to respond with prosocial behavior. Thus, teaching the connection between facial-based or situation-based emotions and prosocial behavioral responses is needed. In this research, we provided essays describing the context and facial expressions of a given character, and gave participants tasks to estimate the characters’ emotion under two conditions: emotions described in the context essay and given facial expression were congruent, or they were incongruent. Furthermore, we tracked frontal lobe activity that was deeply associated with high cognitive functions using near-infrared spectroscopy (NIRS) and examined whether the frontal lobe activity related to emotion estimation differed as a function of the sympathy level.

Corresponding author: Sakiko Ogoshi


Cite this article
Sakiko Ogoshi, Tomohiro Takezawa, Yasuhiro Ogoshi, Hisakazu T. Yanaka and Yoshinori Mitsuhashi, Overview of Social Cognitive Ability from the Perspective of Facial Expressions and Context -Estimating Emotion Based on Context Essays and Facial Expressions-, Sens. Mater., Vol. 26, No. 7, 2014, p. 505-518.



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