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Li, J., Monroe, W., Ritter, A., Jurafsky, D., Galley, M. and Gao, J. (2016) Deep Reinforcement Learning for Dialogue Generation. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, 1-4 November 2016., 1192-1202.
https://doi.org/10.18653/v1/d16-1127

has been cited by the following article:

• TITLE: Application of Natural Language Processing in Virtual Experience AI Interaction Design

  AUTHORS: Ziqian Rong

  KEYWORDS: Natural Language Processing, Virtual Reality, Augmented Reality, Interaction Design, User Experience

  JOURNAL NAME: Journal of Intelligent Learning Systems and Applications, Vol.16 No.4, November 15, 2024

  ABSTRACT: This paper investigates the application of Natural Language Processing (NLP) in AI interaction design for virtual experiences. It analyzes the impact of various interaction methods on user experience, integrating Virtual Reality (VR) and Augmented Reality (AR) technologies to achieve more natural and intuitive interaction models through NLP techniques. Through experiments and data analysis across multiple technical models, this study proposes an innovative design solution based on natural language interaction and summarizes its advantages and limitations in immersive experiences.