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Child-Robot Conversation in the Wild Wild Home: A Language Processing User Study

Guillermo Pérez, Gonzalo A. García, Manuel Castro, Mario Castaño, Marta J. López-González de Quevedo, Ricardo G. Durán, J. Gabriel Amores, Gloria Edith Guerrero Álvarez, Leigh Levinson, Selma Šabanović, Randy Gómez

发表年份
2023
引用次数
6

摘要

Child-robot interaction (CRI) has been mostly studied in labs and classroom settings. In this work, we share a CRI language processing study carried out in children’s homes. Any automated system deployed “in-the-wild” faces practical problems, but when the target users are children, these problems get even more sensitive and challenging. In this work we analyse how each language processing layer performs with children at home with no researcher present. We carried out an experiment with 7 families [N=14 children, 6-13 years old] cohabiting with a simulated robot for 2 weeks in their own homes. Our goal in this study is to evaluate the performance of voice recognition, language understanding and dialogue management when children interact with a robot at home. Our results indicate that dialogue management capabilities are becoming the key element in the language processing pipeline; they also denote that the dialogue engine should include mixed-initiative capabilities and show the relative usage of different common built-in intents.

关键词

ConversationRobotComputer sciencePipeline (software)Work (physics)Human–computer interactionKey (lock)Artificial intelligencePsychologyEngineering

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