Abstract
With the emergence of affordable and open-source AI social robots in education, it is essential to involve the end-users—students—in the development process. To address this, we conducted a pilot participatory design workshop to explore university students’ preferences for robotic study companions in Guyana. Our findings reveal a preference among students for robots equipped with multimodal communication capabilities alongside various ethical and social concerns. Most students kept their original designs unchanged but updated their feature lists despite learning about state-of-the-art Human-Robot Interaction (HRI) research. This study provides insights into the user-centred design process, focusing on university students’ unique needs and preferences for social robot companions. We hope to spark new discussions on the participatory design study method within HRI research and encourage the development of open-source AI social robot study companions.
This work is in part supported by the project ”Increasing the knowledge intensity of Ida-Viru entrepreneurship” co-funded by the European Union, the Erasmus+ project ”Computational and Entrepreneurship Thinking and Green Agenda Innovations” co- funded by European Union, and the Erasmus+ PhD blended mobility programme at the University of Tartu.
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Notes
- 1.
DroidCam OBS: https://www.dev47apps.com/obs/.
- 2.
RSC ICITL2024 GitHub: https://github.com/RobotStudyCompanion/ICITL2024.
References
Baksh, F., Zorec, M.B., Kruusamäe, K.: Open-source robotic study companion with multimodal human-robot interaction to improve the learning experience of university students. Appl. Sci. 14, 5644 (2024). https://doi.org/10.3390/app14135644
Bjorling, E., Rose, E.: Participatory research principles in human-centered design: engaging teens in the co-design of a social robot. Multimodal Technol. Interact. 3(1), 8 (2019). https://doi.org/10.3390/mti3010008. http://www.mdpi.com/2414-4088/3/1/8
Darriba Frederiks, A., Octavia, J.R., Vandevelde, C., Saldien, J.: Towards participatory design of social robots. In: Lamas, D., Loizides, F., Nacke, L., Petrie, H., Winckler, M., Zaphiris, P. (eds.) Human-Computer Interaction. Lecture Notes in Computer Science, vol. 11747, pp. 527–535. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29384-0_32
Donnermann, M., Schaper, P., Lugrin, B.: Integrating a social robot in higher education – a field study. In: 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 573–579 (2020). https://doi.org/10.1109/RO-MAN47096.2020.9223602. https://ieeexplore.ieee.org/document/9223602. ISSN 1944-9437
Franke, N., Schreier, M., Kaiser, U.: The “i designed it myself” effect in mass customization. Manage. Sci. 56, 125–140 (2010). https://doi.org/10.2307/27784096
Georgiou, T., Ross, M., Baillie, L., Broz, F.: Applying the participatory design workshop method to explore how socially assistive robots could assist stroke survivors (2020). https://doi.org/10.1145/3371382.3378232
Hoffman, G., Zhao, X.: A primer for conducting experiments in human-robot interaction. ACM Trans. Human-Robot Interact. 10(1), 1–13 (2021). https://doi.org/10.1145/3412374
Kyprianou, G., Karousou, A., Makris, N., Sarafis, I., Amanatiadis, A., Chatzichristofis, S.A.: Engaging learners in educational robotics: Uncovering students’ expectations for an ideal robotic platform. Electronics 12(13), 2865 (2023). https://doi.org/10.3390/electronics12132865. https://www.mdpi.com/2079-9292/12/13/2865
Leyzberg, D., Spaulding, S., Toneva, M., Scassellati, B.: The physical presence of a robot tutor increases cognitive learning gains. In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 34 (2012)
Mahdi, H., Akgun, S.A., Saleh, S., Dautenhahn, K.: A survey on the design and evolution of social robots — past, present and future. Robot. Auton. Syst. 156, 104193 (2022). https://doi.org/10.1016/j.robot.2022.104193.https://www.sciencedirect.com/science/article/pii/S0921889022001117
Reich-Stiebert, N., Eyssel, F., Hohnemann, C.: exploring university students’ preferences for educational robot design by means of a user-centered design approach. Int. J. Soc. Robot. 12(1), 227–237 (2020). https://doi.org/10.1007/s12369-019-00554-7
Shi, Z., et al.: Build your own robot friend: an open-source learning module for accessible and engaging AI Education (2024). https://doi.org/10.48550/arXiv.2402.01647. http://arxiv.org/abs/2402.01647. arXiv:2402.01647 [cs]
UNICEF, C.: Ai for children: Case studies (2020). https://www.unicef.cn/en/documents/ai-for-children-case-study. [UNICEF China web- site]. https://www.unicef.cn/en/
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Baksh, F., Zorec, M., Kruusamäe, K. (2024). Designing Social Robots for Learning: HRI Participatory Design Workshop. In: Cheng, YP., Pedaste, M., Bardone, E., Huang, YM. (eds) Innovative Technologies and Learning. ICITL 2024. Lecture Notes in Computer Science, vol 14786. Springer, Cham. https://doi.org/10.1007/978-3-031-65884-6_22
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