| Project/Area Number |
05650253
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
Intelligent mechanics/Mechanical systems
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| Research Institution | OKAYAMA PREFECTURAL UNIVERSITY |
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Principal Investigator |
WATANABE Tomio OKAYAMA PREFECTURAL UNIVERSITY,FACULTY OF COMPUTER SCIENCE AND SYSTEM ENGINEERING,PROFESSOR, 情報工学部, 教授 (30167150)
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| Project Period (FY) |
1993 – 1994
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| Project Status |
Completed (Fiscal Year 1994)
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| Budget Amount *help |
¥2,300,000 (Direct Cost: ¥2,300,000)
Fiscal Year 1994: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 1993: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | Human Interface / Entrainment / Facial Expression / Communication / Lip-reding / Speech Input / Non-verbal Interface / 音声 |
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| Research Abstract |
We evaluated the synchrony between a speaker's voice and eye-blink, and a listener's eye-blink and nodding in actual face-to-face interaction by the cross-correlation analysis. We found significant synchronous, and lagged relationships betweem : (a) a speaker's voice and own his eye-blinking response ; (b) a speaker's voice and a listener's eye-blinking and nodding responses. We also found that the listener's eye blinking response tends to occur during nodding. On the basis of these findings, an eye-blinking and nodding feedback model for speech input was proposed, and the effectiveness was demonstrated. Finally, a model system using a digital signal processor which accepted voice-activated input and provided feedback to the speaker was tested with the aim of developing more user-friendly computer systems. Attentiveness to, and comprehension of, information were mainly expressed by simulated nodding, the nodding onset being estimated by a weighted sum of the binary vocal signal, while the remaining communicative signals were simulated using facial expressions alne. The smoothness of speech input when the voice-reactive system is used was measured using subjective sensory evaluation by the speaker, and the finding was that the smoothness of the speech input was improved by the system. This model would be applicable to a variety of human-computer interactions where visual feedback is possible and may well lead to a more user-friendly system.
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