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Translation and Foreign Language Learning

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ArticleInterdisciplinary Studies of Translation http://dx.doi.org/10.26855/tfll.2026.01.013

Technology-enhanced Simulated Scenarios: Advancing Human–machine Interaction in Interpreter Training

Yiwen Wu, Juntao Deng*

School of Foreign Languages, Wuhan Institute of Technology, Wuhan 430205, Hubei, China.

*Corresponding author: Juntao Deng

Published: January 31, 2026

Abstract

With the development of artificial intelligence technology, the construction of human-machine interaction scenarios in interpreting training has also been changing a lot. The value of this paper is as follows: First, it introduces the concept of an interpreterled interaction scenario and analyzes the essential components of good interaction. Second, three AI-enabled pathways for interactive scenario construction in interpreting training will be introduced in this paper, and comments on the teaching value and inherent limitations of some training methods will be provided. In addition, this paper also points out the main problems in the current teaching and training of interpreting, such as a lack of authenticity, poor interactivity, and slow feedback. With the recent vigorous development of artificial intelligence, the following three technical paths for creating intelligent interaction scenarios are put forward in this paper: (1) A real-time interactive sys-tem for speech recognition and synthesis that can produce all kinds of speech features to help learners become accustomed to complex language input; (2) Virtual role-playing dialogues based on large language models to create multi-turn role-playing interactions that include “clients”, “doctors” and so on; (3) An artificial intelligence-driven emergency simulation platform that can construct high-pressure and various interpreting scenarios to cultivate learners' crisis re-sponse abilities. This paper will organise the teaching functions of artificial intelli-gence technology in interpreting training and hope to provide some references for other studies on AI tools by establishing an organised system to integrate human-machine interaction in interpreting teaching and thereby make full use of the power of technology and intelligence in teaching.

Keyword

Interpreter training; human machine interaction; scenario creation; artificial intelligence; large language models

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How to cite this paper

Technology-enhanced Simulated Scenarios: Advancing Human–machine Interaction in Interpreter Training

How to cite this paper: Yiwen Wu, Juntao Deng. (2026). Technology-enhanced Simulated Scenarios: Advancing Human–machine Interaction in Interpreter Training. Translation and Foreign Language Learning2(1), 75-79.

DOI: http://dx.doi.org/10.26855/tfll.2026.01.013