Teaching Language to Deaf Infants with a Robot and a Virtual Human
| Autor: | Melissa Malzkuhn, David Traum, Geo Kartheiser, Katherine M. Tsui, Arcangelo Merla, Barbara Manini, Laura-Ann Petitto, Adam Stone, Brian Scassellati, Setareh Nasihati Gilani, Ari Shapiro, Jake Brawer |
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| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Social robot 05 social sciences Cognition 02 engineering and technology Sign language 050105 experimental psychology Language development Visual language 020901 industrial engineering & automation Robot 0501 psychology and cognitive sciences Psychology Cognitive psychology Virtual actor Avatar |
| Zdroj: | CHI |
| Popis: | Children with insufficient exposure to language during critical developmental periods in infancy are at risk for cognitive, language, and social deficits [55]. This is especially difficult for deaf infants, as more than 90% are born to hearing parents with little sign language experience [48]. We created an integrated multi-agent system involving a robot and virtual human designed to augment language exposure for 6-12 month old infants. Human-machine design for infants is challenging, as most screen-based media are unlikely to support learning in [33]. While presently, robots are incapable of the dexterity and expressiveness required for signing, even if it existed, developmental questions remain about the capacity for language from artificial agents to engage infants. Here we engineered the robot and avatar to provide visual language to effect socially contingent human conversational exchange. We demonstrate the successful engagement of our technology through case studies of deaf and hearing infants. |
| Databáze: | OpenAIRE |
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