Chie Hieida: “Deep Emotion: A Computational Model of Emotion Using Deep Neural Networks”


July 26, 2019  Friday Lunch Seminar
12:15 〜 13:00

CiNet 1F Conference Room
“Deep Emotion: A Computational Model of Emotion Using Deep Neural Networks”
Chie Hieida

Specially-Appointed Researcher, Symbiotic Intelligent System Research Center
Open and Transdisciplinary Research Initiatives, Osaka University

Host PI: Minoru Asada


Emotions are very important for human intelligence. For example, emotions are closely related to the appraisal of the internal bodily state and external stimuli.  This helps us to respond quickly to the environment.  Another important perspective in human intelligence is the role of emotions in decision-making.  Moreover, the social aspect of emotions is also very important.  Therefore, if the mechanism of emotions were elucidated, I could advance toward the essential understanding of our natural ntelligence.  In this study, a model of emotions is proposed to elucidate the mechanism of emotions through the computational model.  Furthermore, from the viewpoint of partner robots, the model of emotions may help us to build robots that can have empathy for humans.  To understand and sympathize with people's feelings, the robots need to have their own emotions. This may allow robots to be accepted in human society.  The proposed model is implemented using deep neural networks consisting of three modules, which interact with each other.  I simulated the behavior of the model with tasks that mimic mother-child nteraction.

About CiNet's Friday Lunch Seminars:
The Friday Lunch Seminar is CiNet's main regular meeting series, held every week at 12:15 in the beautiful main lecture theatre on the ground floor at CiNet. The talks are typically 40mins long and orientated towards an inter-disciplinary audience. They are informal, social, and most people bring their own lunch to eat during the talk. They are open to anyone who is feeling curious and wants to come, regardless of where you work.