Abstract
The present research focuses in the comparison of two social robot models running the same Human-Robot Interaction (HRI) applications targeting the context of music education for children aged 9-11, with the objective of underlying the design choices favored by the target audience on the running tasks. The Guitar Tuner consists of two main functionalities: tuning process and performance evaluation, which we implemented using the NAO and Zenbo robots. User evaluation included 20 children and assessed their perceived robot embodiment preferences (e.g., shape, robot motion, displays, and emotional expressivity) and perceived usability aspects. The evaluation used an experimental remote protocol supporting collecting online feedback with users during the COVID-19 pandemic. Empirical results supported performing quantitative and qualitative evaluations of the HRI application and highlighting the perceived differences of robot embodiment features. The discussions center on improving a future version of the HRI application, plus children’s considerations about their preferred robot embodiment features during the observation sessions. Finally, we propose recommendations for robot embodiment design for children and learning based on this case study and discuss protocol limitations during the social distancing context, that we believe as a valid alternative to move forward with experimental designs, particularly in robotics, becoming a great contribution to other researchers facing similar hurdles.
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Bartneck, C., Forlizzi, J.: A design-centred framework for social human-robot interaction. In: RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No. 04TH8759), pp. 591– 594. IEEE (2004)
Bartneck, C., Belpaeme, T., Eyssel, F., Kanda, T., Keijsers, M., Šabanović, S.: Human-robot Interaction: An Introduction Cambridge University Press (2020)
de Albuquerque Wheler, A.P., Kelner, J., Hung, P.C., de Souza Jeronimo, B., Junior, R.D.S.R., Araújo, A.F.R.: Toy user interface design—tools for child–computer interaction. Int. J. Child-Comput. Interact. 30, 100307 (2021)
Melo, R., de Paula Monteiro, R., de Oliveira, J.P.G., Jeronimo, B., Bastos-Filho, C.J., de Albuquerque, A.P., Kelner, J.: Guitar tuner and song performance evaluation using a nao robot. In: 2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE), pp. 1–6. IEEE (2020)
Bangor, A., Kortum, P.T., Miller, J.T.: An empirical evaluation of the system usability scale. Intl. J. Hum.-Comput. Interact. 24(6), 574–594 (2008)
Putnam, C., Puthenmadom, M., Cuerdo, M.A., Wang, W., Paul, N.: Adaptation of the System Usability Scale for User Testing with Children. In: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–7 (2020)
Viner, R.M., Russell, S.J., Croker, H., Packer, J., Ward, J., Stansfield, C., Mytton, O., Bonell, C., Booy, R.: School closure and management practices during coronavirus outbreaks including covid-19: a rapid systematic review. The Lancet Child & Adolescent Health (2020)
Goodrich, M.A., Schultz, A.C.: Human-robot interaction: a Survey Now Publishers Inc (2008)
Hancock, P.A., Billings, D.R., Schaefer, K.E.: Can you trust your robot? Ergon. Des. 19 (3), 24–29 (2011)
Duffy, B.R.: Anthropomorphism and the social robot. Rob. Auton. Syst. 42(3-4), 177–190 (2003)
Breazeal, C., Dautenhahn, K., Kanda, T.: Social robotics. Springer handbook of robotics, pp. 1935–1972 (2016)
Li, H., John-John, C., Tan, Y.K.: Towards an effective design of social robots. Int. J. Soc. Robot. 3(4), 333–335 (2011)
Webster, P.R.: Computer-Based Technology and Music Teaching and Learning: 2000–2005. In: International Handbook of Research in Arts Education, pp. 1311– 1330. Springer (2007)
Sastre, J., Cerdà, J., García, W., Hernández, C., Lloret, N., Murillo, A., Picó, D., Serrano, J., Scarani, S., Dannenberg, R.B.: New technologies for music education. In: 2013 Second International Conference on E-Learning and E-Technologies in Education (ICEEE), pp. 149– 154. IEEE (2013)
Waddell, G., Williamon, A.: Technology use and attitudes in music learning. Frontiers in ICT 6, 11 (2019)
Gorbunova, I., Hiner, H.: Music computer technologies and interactive systems of education in digital age school. In: Proceedings of the International Conference Communicative Strategies of Information Society (CSIS 2018), pp. 124–128 (2019)
Paule-Ruiz, M., ÁLvarez-garcía, V., Pérez-Pérez, J.R., Álvarez-Sierra, M., Trespalacios-Menéndez, F.: Music learning in preschool with mobile devices. Behav. Inf. Technol. 36(1), 95–111 (2017)
Serafin, S., Adjorlu, A., Nilsson, N., Thomsen, L., Nordahl, R., Considerations on the use of virtual and augmented reality technologies in music education. In: 2017 IEEE Virtual Reality Workshop on K-12 Embodied Learning Through Virtual & Augmented Reality (KELVAR), pp. 1– 4. IEEE (2017)
Shahab, M., Taheri, A., Mokhtari, M., Shariati, A., Heidari, R., Meghdari, A., Alemi, M.: Utilizing social virtual reality robot (v2r) for music education to children with high-functioning autism. Education and Information Technologies, 1–25 (2021)
Sullivan, A., Bers, M.U.: Dancing robots: integrating art, music, and robotics in singapore’s early childhood centers. Int. J. Technol. Des. Educ. 28(2), 325–346 (2018)
Nielsen, J., Bærendsen, N.K., Jessen, C.: Robomusickids–Music Education with Robotic Building Blocks. In: 2008 Second IEEE International Conference on Digital Game and Intelligent Toy Enhanced Learning, pp. 149–156 (2008)
de Albuquerque, A.P., Kelner, J.: Toy user interfaces: systematic and industrial mapping. J. Syst. Archit. 97, 77–106 (2019)
Löchtefeld, M., Gehring, S., Jung, R., Krüger, A.: Guitar: supporting guitar learning through mobile projection. In: CHI’11 Extended Abstracts on Human Factors in Computing Systems, pp. 1447–1452 (2011)
Yamabe, T., Nakajima, T.: Playful training with augmented reality games: case studies towards reality-oriented system design. Multimed. Tools Appl. 62(1), 259–286 (2013)
Malik, N.A., Yussof, H., Hanapiah, F.A.: Interactive behavior design in humanoid robot towards joint attention of children with cerebral palsy with human therapists. In: 2015 IEEE International Conference on Rehabilitation Robotics (ICORR), pp. 828–833. IEEE (2015)
Taheri, A., Shariati, A., Heidari, R., Shahab, M., Alemi, M., Meghdari, A.: Impacts of using a social robot to teach music to children with low-functioning autism. Paladyn, J Behav. Robot. 12(1), 256–275 (2021)
Wainer, J., Feil-Seifer, D.J., Shell, D.A., Mataric, M.J.: The role of physical embodiment in human-robot interaction. In: ROMAN 2006-The 15th IEEE International Symposium on Robot and Human Interactive Communication, pp. 117–122. IEEE (2006)
Kennedy, J., Baxter, P., Belpaeme, T.: Comparing robot embodiments in a guided discovery learning interaction with children. Int. J Soc. Robot. 7(2), 293–308 (2015)
Thellman, S., Silvervarg, A., Gulz, A., Ziemke, T.: Physical vs. virtual agent embodiment and effects on social interaction. International Conference on Intelligent Virtual Agents, pp. 412– 415 (2016). Springer
Westlund, J.K., Dickens, L., Jeong, S., Harris, P., DeSteno, D., Breazeal, C.: A comparison of children learning new words from robots, tablets, & people. In: Proceedings of the 1st International Conference on Social Robots in Therapy and Education (2015)
Papakostas, G.A., Strolis, A.K., Panagiotopoulos, F., Aitsidis, C.N.: Social robot selection: a case study in education. In: 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp. 1–4. IEEE (2018)
Johal, W.: Research trends in social robots for learning. Current Robotics Reports, 1–9 (2020)
Kelley, J.F.: Wizard of oz (woz) a yellow brick journey. J Usability Stud. 13(3), 119–124 (2018)
Zaman, B., Abeele, V.V.: Laddering with young children in user experience evaluations: theoretical groundings and a practical case. In: Proceedings of the 9th International Conference on Interaction Design and Children, pp. 156– 165 (2010)
Read, J.C.: Evaluating artefacts with children: age and technology effects in the reporting of expected and experienced fun. In: Proceedings of the 14th ACM International Conference on Multimodal Interaction, pp. 241– 248 (2012)
Paiva, A., Leite, I., Ribeiro, T.: Emotion modeling for social robots. The Oxford handbook of affective computing 296–308 (2014)
Acknowledgements
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES). The authors also thank Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco (FACEPE) under grant IBPG-0844-3.04/17, as well as for the project PRONEX 2014 - APQ-0880-1.03/14.
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Writing and reviewing: B. S. Jeronimo and A. P. A. Wheler; Data collection: B. S. Jeronimo, A. P. A. Wheler, and R. Melo; Research materials: B. S. Jeronimo, A. P. A. Wheler, and R. Melo; Supervising: C. J. A. Bastos-Filho and J. Kelner; Data analysis: B. S. Jeronimo and J. P. G. de Oliveira.
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de Souza Jeronimo, B., de Albuquerque Wheler, A.P., de Oliveira, J.P.G. et al. Comparing Social Robot Embodiment for Child Musical Education. J Intell Robot Syst 105, 28 (2022). https://doi.org/10.1007/s10846-022-01604-5
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DOI: https://doi.org/10.1007/s10846-022-01604-5