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A Social Robot to Mitigate Stress, Anxiety, and Pain in Hospital Pediatric Care

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Published:02 March 2015Publication History

ABSTRACT

Children and their parents may undergo challenging experiences when admitted for inpatient care at pediatric hospitals. While most hospitals make efforts to provide socio-emotional support for patients and their families during care, gaps still exist between human resource supply and demand. The Huggable project aims to close this gap by creating a social robot able to mitigate stress, anxiety, and pain in pediatric patients by engaging them in playful interactive activities. In this paper, we introduce a larger experimental design to compare the effects of the Huggable robot to a virtual character on a screen and a plush teddy bear, and provide initial qualitative analyses of patients' and parents' behaviors during intervention sessions collected thus far. We demonstrate preliminarily that children are more eager to emotionally connect with and be physically activated by a robot than a virtual character, illustrating the potential of social robots to provide socio-emotional support during inpatient pediatric care.

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  1. A Social Robot to Mitigate Stress, Anxiety, and Pain in Hospital Pediatric Care

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    • Published in

      cover image ACM Conferences
      HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts
      March 2015
      336 pages
      ISBN:9781450333184
      DOI:10.1145/2701973

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 March 2015

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      Acceptance Rates

      HRI'15 Extended Abstracts Paper Acceptance Rate92of102submissions,90%Overall Acceptance Rate192of519submissions,37%

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