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Qbo Robot as an Educational Assistant - Participants Feedback on the Engagement Level Achieved with a Robot in the Classroom

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Advances in Human Factors in Robots and Unmanned Systems (AHFE 2018)

Abstract

A non-humanoid robot is used to assist in an educational workshop of Quality Assurance and DevOps. The goal of this research was to determine the level of engagement shown by students of computer science in a presentation conducted by a University professor and assisted by a robot. The robot interaction was based on the Wizard of Oz technique. The order of actions between the professor and the robot was scripted and practiced before the workshop. After the workshop, a survey was conducted to assess the students’ perception towards robot’s shape, size, behavior and, performance. The survey also included the Godspeed Questionnaire Series to measure participant’s perception of the robot and its effectiveness as an educational assistant. The results revealed the participants considered the robot featured personalized cognitive skills and exhibited an acceptable integration in the workshop.

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Notes

  1. 1.

    Mean (M) = Sum of values average.

    Standard Deviation (SD) = Estimated average of variation in a standardized set.

    Standard Error (SE) = Possible level of error in a measure.

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Acknowledgments

This work was partially supported by Centro de Investigaciones en Tecnologías de la Información y Comunicación (CITIC), Escuela de Ciencias de la Computación e Informática (ECCI) both at Universidad de Costa Rica (UCR). Grand No. 834-B7-267. We would like to thank Programa de Posgrado en Computación e Informática and Sistema de Estudios de Posgrado at UCR for their support. Additionally, thanks to the User Interaction Group (USING) for providing ideas to refine and complete the research.

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Correspondence to Raúl Madrigal Acuña .

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Madrigal Acuña, R., Vega, A., Ramírez-Benavides, K. (2019). Qbo Robot as an Educational Assistant - Participants Feedback on the Engagement Level Achieved with a Robot in the Classroom. In: Chen, J. (eds) Advances in Human Factors in Robots and Unmanned Systems. AHFE 2018. Advances in Intelligent Systems and Computing, vol 784. Springer, Cham. https://doi.org/10.1007/978-3-319-94346-6_16

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