Extraction of Speech Parameters Relating to the Characteristics of Emotional Expression:Focus on the Attentiveness : -related Parameters such as the Nursing Experience
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概要
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Life experiences and the roles people play in society affect the way people express emotion. Nurses must be skilled communicators because they interact continually with all sorts of people-different personalities, different occupations, varying states of health-so the nature of the job affects the way nurses express emotion, especially on the attentiveness. In this study, the attentiveness toward others (patients, younger siblings, and their own children) was noticed and the relationship between attentiveness-related parameters and speech-related parameters were investigated. For the study, we created a meaningless eight-syllable sample word, then had the participants enunciate the made-up word simulating five emotional states: neutral, joy, sadness, anger, and surprise. We conducted a sound analysis of the different emotions by measuring the fundamental frequency F0 (Hz), the max sound pressure frequency Fmax (Hz), max sound pressure MaxdB (dB), and the average sound pressure AvedB (dB), we also measured the phonation time in seconds. We then statistically analyzed the variation from the neutral state in each emotion. Twenty-two women took part in the study (mean age 29.6 ± 6.4), including 12 women with nursing experience (mean age 32.4 ± 6.0) and ten women without nursing experience (mean age 26.1 ± 5.1). The results revealed significant differences in speech parameters correlated with differences in attentiveness-related parameters-nursing experience, and whether the participant had younger siblings and/or child/children-thus suggesting a relationship between nursing experience and emotional expressiveness.
著者
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Ohno Yuko
Department Of Mathematical Health Science Course Of Health Science Graduate School Of Medicine Osaka
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OHNO Yuko
Department of Mathematical Health Science, Graduate School of Medicine, Osaka University
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Yahan Gao
Department of Mathematical Health Science, Graduate School of Medicine, Osaka University
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Okada Shima
Department of Robotics, Ritsumeikan University Contact address
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