Inteligencia artificial y comunicación no verbal: ChatGPT a prueba en la interpretación en el ámbito sanitario
Artificial Intelligence and Non-Verbal Communication: Testing Chatgpt in Healthcare Interpreting

Summary/Abstract: Nonverbal communication (nvc) plays a fundamental role in intercultural interactions by conveying attitudes and emotions through specific gestures and messages (Vilà Baños 2012: 29). Although the foundations began to be laid in previous decades, it was not until the beginning of the 21st century that a solid theoretical basis was consolidated in terms of its definition, sign systems and functioning (Serrano 1981, Poyatos 1994b). Various disciplines are involved in the study of nvc in intercultural contexts, such as anthropology, linguistics, psychology, sociology, communication, and language interpretation, the latter being particularly important in encounters where participants do not share the same language. Th is study aims to contribute to the field of intercultural communication in healthcare contexts, by characterizing intercultural nonverbal communication (nvc) in medical consultations and analysing how it may affect healthcare provider patient interaction and healthcare interpreting (hi). Based on this analysis, the investigation also explores and evaluates the emerging role of the artificial intelligence (AI) as a potential resource for intercultural mediation within this communicative context. To this end, an empirical study will be conducted based on the generation and evaluation of simulated conversational cases using Chatgpt, with the purpose of assessing the adequacy of ai-generated responses in intercultural healthcare settings, particularly regarding nvc, and determining their potential usefulness as a support tool for healthcare professionals and interpreters. Ultimately, this study highlights the importance of human interpreter in intercultural medical consultation, emphasizing their role not only as linguistic facilitators but also as mediators of cultural and paralinguistic aspects. It argues that while ai may serve as a support tool in hi, human sensitivity and judgment remain essential elements in ensuring effective communication and equitable medical care.

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