“Enhancing VR Customer Service Training: A System for Generating Customer Queries and Evaluating Trainee Responses” by Hara – ACM SIGGRAPH HISTORY ARCHIVES

“Enhancing VR Customer Service Training: A System for Generating Customer Queries and Evaluating Trainee Responses” by Hara

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Conference:


Type(s):


Title:

    Enhancing VR Customer Service Training: A System for Generating Customer Queries and Evaluating Trainee Responses

Session/Category Title:   Augmented & Virtual Reality


Presenter(s)/Author(s):



Abstract:


    Our virtual customer service training, leveraging autonomous avatars, reduces authoring costs and enables remote participation; we use LLM and RAG technology to generate service-specific questions and assesses the correctness of trainee answers, paving the way for independent learning.

References:


    [1]
    Luma AI. 2024a. Luma AI. https://lumalabs.ai/

    [2]
    Nomic AI. 2024b. gpt4all-falcon-newbpe-q4. https://gpt4all.io/index.html

    [3]
    Daniel W. Carruth. 2017. Virtual reality for education and workforce training. In 2017 15th International Conference on Emerging eLearning Technologies and Applications (ICETA). 1?6. https://doi.org/10.1109/ICETA.2017.8102472

    [4]
    ChromaDB. 2024. ChromaDB. https://www.trychroma.com/

    [5]
    Amy Colbert, Nick Yee, and Gerard George. 2016. The Digital Workforce and the Workplace of the Future. Academy of Management Journal 59 (06 2016), 731?739. https://doi.org/10.5465/amj.2016.4003

    [6]
    GPT4ALL. 2024. GPT4ALL. https://gpt4all.io/index.html

    [7]
    Takenori Hara, Haruka Maeda, and Shigeru Komatsubara. 2024. Autonomous avatar for customer service training VR system. In 2024 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).

    [8]
    LangChain. 2024. LangChain. https://www.langchain.com/


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