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Case Study of Low-Code VR Platform for Training and Evaluating Employee’s Service Skills

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HCI International 2023 – Late Breaking Papers (HCII 2023)

Abstract

For service industry, quality of customer service skills and customer satisfaction are very important topic. However, it is difficult to learn and master this kind of service skill without on-the-job-training (OJT). Thus, we propose a service VR simulator in which the user can train man-to-man service by using VR technologies. Through interviews and preliminary experiments with various service companies, we found that a customer service training VR system is effective for training service skills. However, the work content of each industry is very different, and the contents to be trained are also diverse, so the development cost and difficulty of operation and customization were raised as problems. Therefore, we proposed and implemented a VR platform that enables low-code development with little need for programming. In addition, we developed several business training VR systems using the proposed platform and conducted interviews.

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References

  1. Tanikawa, T., Shiozaki, K., Ban, Y., Aoyama, K., Hirose, M.: Semi-automatic reply avatar for VR training system with adapted scenario to trainee’s status. Proceedings of HCII 2021 (2021)

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  2. Tanikawa, T., Ban, Y., Aoyama, K., Shinbori, K., Komatsubara, S., Hirose, M.: Service VR training system: VR simulator of man-to-man service. In: Proceedings of IDW’19, pp. 993–994 (2019)

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  3. https://www.pixelcrushers.com/dialogue_system/manual2x/html/index.html

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Acknowledgement

This work was supported by Council for Science, Technology and Innovation, “Cross-ministerial Strategic Innovation Promotion Program (SIP), Big-data and AI-enabled Cyberspace Technologies”. (funding agency: NEDO).

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Correspondence to Tomohiro Tanikawa .

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Tanikawa, T. et al. (2023). Case Study of Low-Code VR Platform for Training and Evaluating Employee’s Service Skills. In: Zaphiris, P., et al. HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14060. Springer, Cham. https://doi.org/10.1007/978-3-031-48060-7_21

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  • DOI: https://doi.org/10.1007/978-3-031-48060-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48059-1

  • Online ISBN: 978-3-031-48060-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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