User Experience: uma avaliação da experiência de usuário da inteligência artificial do google fotos

Abstract

The present study is based on the premise that artificial intelligence, as a constantly improving technology, plays an increasingly important role in the user's everyday experience. To optimize this interaction, the importance of continuous feedback is emphasized, aiming to improve the dynamics between humans and computers, making it the most effective and satisfactory. The main objective of the study is to evaluate the user experience of Google Photos' artificial intelligence. The research applies an exploratory and descriptive methodology with a qualitative-quantitative approach, using the Cognitive Path and System Usability Scale methods, in order to present the effectiveness of this technology as a way to improve the user experience and suggest recommendations for improvements. The study was carried out with ten users living in the urban area of the city of Floriano–PI, with different ages. The results revealed a positive reception from users regarding the application, and an analysis based on the reports suggests five recommendations as practical implications for the future development of Google Photos features or improvements.