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Guillermo Calahorra-Candao and María José Martín-de Hoyos
This study develops a theoretical framework integrating the Technology Acceptance Model (TAM) and Uses and Gratifications Theory (UGT) to predict and understand the acceptance of voice shopping intentions, particularly through AI-driven voice assistants....
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Homeyra Mahmoudi, Silvana Camboim and Maria Antonia Brovelli
Voice assistants can elevate interaction in geospatial data web platforms. This research introduces a voice assistant in the BStreams platform and focuses on understanding user commands in the geospatial domain. We developed a specialised geospatial disc...
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Diego Reforgiato Recupero
In this paper we present a mixture of technologies tailored for e-learning related to the Deep Learning, Sentiment Analysis, and Semantic Web domains, which we have employed to show four different use cases that we have validated in the field of Human-Ro...
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Yusuf Sermet and Ibrahim Demir
The COVID-19 pandemic elucidated that knowledge systems will be instrumental in cases where accurate information needs to be communicated to a substantial group of people with different backgrounds and technological resources. However, several challenges...
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Vladimir Tregubov
Pág. 62 - 72
The article describes the current state and prospects of the use of artificial intelligence (AI) and technology of voice recognition in the education. There are some common approaches to using AI in education: adaptive assessment of knowledge, interval m...
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