Title |
Emotional and Interactional Prosody across Animal Communication Systems: A Comparative Approach to the Emergence of Language
|
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Published in |
Frontiers in Psychology, September 2016
|
DOI | 10.3389/fpsyg.2016.01393 |
Pubmed ID | |
Authors |
Piera Filippi |
Abstract |
Across a wide range of animal taxa, prosodic modulation of the voice can express emotional information and is used to coordinate vocal interactions between multiple individuals. Within a comparative approach to animal communication systems, I hypothesize that the ability for emotional and interactional prosody (EIP) paved the way for the evolution of linguistic prosody - and perhaps also of music, continuing to play a vital role in the acquisition of language. In support of this hypothesis, I review three research fields: (i) empirical studies on the adaptive value of EIP in non-human primates, mammals, songbirds, anurans, and insects; (ii) the beneficial effects of EIP in scaffolding language learning and social development in human infants; (iii) the cognitive relationship between linguistic prosody and the ability for music, which has often been identified as the evolutionary precursor of language. |
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Hong Kong | 1 | 4% |
Canada | 1 | 4% |
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France | 1 | 4% |
Japan | 1 | 4% |
Denmark | 1 | 4% |
Spain | 1 | 4% |
Other | 0 | 0% |
Unknown | 8 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 12 | 50% |
Members of the public | 10 | 42% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Hungary | 2 | 1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Germany | 1 | <1% |
Unknown | 133 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 27 | 20% |
Student > Master | 20 | 14% |
Student > Bachelor | 10 | 7% |
Student > Doctoral Student | 9 | 7% |
Other | 23 | 17% |
Unknown | 21 | 15% |
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Agricultural and Biological Sciences | 23 | 17% |
Neuroscience | 17 | 12% |
Linguistics | 11 | 8% |
Computer Science | 8 | 6% |
Other | 23 | 17% |
Unknown | 29 | 21% |