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