Shushi Namba

Shushi Namba

Researcher

Riken

Biography

Shushi Namba is a Researcher of RIKEN (Psychological Process Research Team, Guardian Robot Project). My research interests include spontaneous facial expressions, human computing and social cognition.

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Interests

  • Facial Expressions
  • Empathy
  • Computational Modeling

Education

  • PhD in Department of Psychology, 2018

    Hiroshima University

  • M.A. in Department of Psychology, Graduate School of Education, 2016

    Hiroshima University

  • B.A in Department of Psychology, Faculty of Education, 2014

    Hiroshima University

Skills

R

80%

Statistics

90%

Docker

30%

Music

40%

Accomplish­ments

Machine Learning

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Docker and Kubernetes: The Complete Guide

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Build Responsive Real World Websites with HTML5 and CSS3

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米国AI開発者がゼロから教えるDocker講座 (Docker lecture in Japanese)

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Facial Action Coding System Final Test

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Recent & Upcoming Talks

Recent Publications

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Distinct Temporal Features of Genuine and Deliberate Facial Expressions of Surprise

The physical properties of genuine and deliberate facial expressions remain elusive. This study focuses on observable dynamic …
Distinct Temporal Features of Genuine and Deliberate Facial Expressions of Surprise

Semantics based on the physical characteristics of facial expressions used to produce Japanese vowels

Previous studies have reported that verbal sounds are associated—non-arbitrarily—with specific meanings (e.g., sound symbolism and …
Semantics based on the physical characteristics of facial expressions used to produce Japanese vowels

Social context and culture influence judgments of non-Duchenne smiles

Extant evidence points toward the role of contextual information and related cross-cultural variations in emotion perception, but most …
Social context and culture influence judgments of non-Duchenne smiles

Human and machine validation of 14 databases of dynamic facial expressions

With a shift in interest toward dynamic expressions, numerous corpora of dynamic facial stimuli have been developed over the past two …
Human and machine validation of 14 databases of dynamic facial expressions

Emotion recognition from posed and spontaneous dynamic expressions: Human observers versus machine analysis

The majority of research on the judgment of emotion from facial expressions has focused on deliberately posed displays, often sampled …
Emotion recognition from posed and spontaneous dynamic expressions: Human observers versus machine analysis

Contact

  • Monday 10:00 to 13:00
    Wednesday 09:00 to 10:00
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