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Article http://dx.doi.org/10.26855/jhass.2025.11.007

Building a Culturally Adaptive Human-machine Speech Interaction System: A Cross-cultural Study Based on Feedback Mechanisms

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Lin Lin

College of Foreign Languages, Putian University, Putian 351100, Fujian, China.

*Corresponding author: Lin Lin

This work is supported by the Startup Fund for Advanced Talents of Putian University (2025041) and Key Project of Fujian Social Science Fund: A Study of Global Dissemination of China’s Contemporary Narratives and Discourse Promoting Core Socialist Values (FJ2022A017).
Published: December 8,2025

Abstract

This paper aims to construct a theoretical framework that bridges feedback mechanisms in human-machine speech interaction with area studies to address the adaptation challenges of existing systems in cross-cultural interactions. By systematically integrating psycholinguistic research on feedback mechanisms with the cultural dimensions and communication theories from area studies, this study analyzes how cultural factors shape micro-level conversational behaviors such as turn-taking intervals and backchanneling. The research reveals the cultural biases inherent in current systems trained predominantly on Western cultural data and proposes strategies to tailor feedback mechanisms for diverse cultural contexts. Regarding technical pathways, the paper explores two potential solutions: culture-aware adapters and context-based real-time adaptive systems. Finally, it identifies three crucial future research directions: developing multilingual speech interaction corpora, creating cultural identification algorithms, and addressing technical challenges in embedding cultural dimensions and achieving dynamic adaptation, thereby providing both a theoretical foundation and practical pathways for developing genuinely culturally adaptive human-machine speech interaction systems.

Keywords

Human-machine speech interaction; feedback mechanisms; cross-cultural adaptation; turn-taking; area studies

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How to cite this paper

Building a Culturally Adaptive Human-machine Speech Interaction System: A Cross-cultural Study Based on Feedback Mechanisms

How to cite this paper: Lin Lin. (2025) Building a Culturally Adaptive Human-machine Speech Interaction System: A Cross-cultural Study Based on Feedback Mechanisms. Journal of Humanities, Arts and Social Science9(11), 2122-2126.

DOI: http://dx.doi.org/10.26855/jhass.2025.11.007