State-of-the art in component technology for an animated face robot-its component technology development for interactive communication with humans
Abstract
We are attempting to introduce a 3D, realistic human-like animated face robot to human-robot communication. The face robot can recognize human facial expressions as well as produce realistic facial expressions in real time. For the animated face robot to communicate interactively, we propose a new concept of 'active human interface', and we investigate the performance of real time recognition of facial expressions by neural networks (NN) and the expressionability of facial messages on the face robot. We find that the NN recognition of facial expressions and the face robot's performance in generating facial expressions are of almost same level as that in humans. We also construct an artificial emotion model able to generate six basic emotions in accordance with the recognition of a given facial expression and the situational context. This implies a high potential for the animated face robot to undertake interactive communication with humans, when integrating these three component technologies into the face robot.
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In a message, the verbal part contributes 7 percent, the vocal part 38 percent, and facial expression 55 percent to the effect of the message as a whole.
“Mehrabian indicated that the verbal part (i.e., spoken words) of a message contributes only for 7 percent to the effect of the message as a whole, the vocal part (e.g., voice intonation) contributes for 38 percent, while facial expression of the speaker contributes for 55 percent to the effect of the spoken message [55].”
From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [55]
Facial expressions have considerably more effect on whether a listener feels liked or disliked than the speaker's spoken words.
“Considerable research in social psychology has also shown that facial expressions help coordinate conversation [4], [82], and have considerably more effect on whether a listener feels liked or disliked than the speaker's spoken words [55].”
From Automatic analysis of facial expressions: the state of the art (2000) · cites this paper as [55]
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References 16 · Cited by 28
- Authors
- Hara, F., & Kobayashi, H.
- Affiliations
- Tokyo University of Science (JP)
- ORCID
- Kobayashi, Hiroshi
- Venue
- Advanced Robotics
- Publisher
- Informa UK Limited
- Published
- 1996-01
- Volume
- 11
- Issue
- 6
- Pages
- 585-604
- ISSN
- 0169-1864 (ISSN-L)
- 1568-5535
- OpenAlex
- W2093044712
- Cited by
- 28
- References
- 16
- Citations by year
- 2019: 2 · 2016: 1 · 2015: 1 · 2014: 2 · 2013: 2
- FWCI
- 2.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Advanced Robotics (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Keywords
- human-robot interaction, facial expression recognition, facial expression synthesis, neural network recognition, basic emotions, situational context
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