Testeando ATLAS.ti con OpenAI: hacia un nuevo paradigma para el análisis cualitativo de entrevistas con inteligencia artificial

Carlos, Lopezosa, Lluís, Codina and Juan-José, Boté-Vericad Testeando ATLAS.ti con OpenAI: hacia un nuevo paradigma para el análisis cualitativo de entrevistas con inteligencia artificial., 2023 [Report]

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English abstract

This report aims to provide practical guidance to researchers on how to code interviews in research projects and identify response patterns using the computer-assisted content analysis program ATLAS.ti and its new artificial intelligence (AI) tool released on March 28, 2023. Specifically, this work tests and explains how this recent AI service provided by ATLAS.ti, called AI Coding, a beta tool designed to simplify the process of coding interview responses, works, and is powered by OpenAI's GPT model. As a bonus, a section dedicated to automatic transcription of voice-recorded interviews using OpenAI's Whisper is included.

Spanish abstract

Este informe busca brindar orientación práctica a los investigadores para codificar entrevistas en proyectos de investigación e identificar patrones de respuestas mediante el uso del programa de análisis de contenido asistido por ordenador ATLAS.ti y su nueva herramienta de inteligencia artificial (IA) lanzada el 28 de marzo de 2023. Más concretamente, este trabajo pone a prueba y explica cómo funciona este reciente servicio de IA proporcionado por ATLAS.ti, llamado AI Coding, una herramienta en fase beta diseñada para simplificar el proceso de codificación de las respuestas de las entrevistas y que está impulsada con el modelo GPT de la empresa OpenAI. Se añade como bonus, un apartado dedicado a la transcripción automática de entrevistas registradas con voz gracias a Whisper de OpenAI.

Item type: Report
Keywords: ChatGPT, ATLAS.ti, artificial intelligence, AI, CAQDAS, interviews, qualitative research, qualitative methodologies, data analysis, Whisper OpenA
Subjects: B. Information use and sociology of information > BJ. Communication
Depositing user: Carlos Lopezosa
Date deposited: 20 Jun 2023 21:44
Last modified: 20 Jun 2023 21:44
URI: http://hdl.handle.net/10760/44493

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