Design and evaluation of data visualizations in a smart agriculture monitoring system (SAMS)

 

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Autores: Brenes Carranza, José Antonio, Murillo Quintana, María Isabel, Sánchez Castillo, José Daniel, López Herrera, Gustavo, Marín Raventós, Gabriela
格式: comunicación de congreso
Fecha de Publicación:2025
实物特征:Technological solutions for smart agriculture are essential for enhancing decision-making, especially for small-scale farmers with limited technological proficiency. This study evaluates a data visualization system designed for smart agriculture, focusing on its usability, utility, and user experience. The evaluation involved diverse participants, including farmers and students from the Agronomy, Physics, and Computing disciplines, using standardized questionnaires like the System Usability Scale (SUS) and the User Experience Questionnaire (UEQ). The results indicate strong acceptance and interest in the system, with users appreciating its innovative elements, such as speedometer-style charts and colour-coded thresholds. These visualizations address the limitations of traditional agricultural tools by providing clearer decision-making guidance. This research offers practical insights into designing user-friendly data visualization tools for small-scale farmers. It underscores the importance of intuitive, user-centred visualizations in improving agricultural productivity and provides a foundation for future studies in precision agriculture. The findings highlight the potential of such systems to bridge the gap between complex data and actionable insights, particularly for users with varying levels of technological familiarity.
País:Kérwá
机构:Universidad de Costa Rica
Repositorio:Kérwá
语言:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/102270
在线阅读:https://hdl.handle.net/10669/102270
https://doi.org/10.1007/978-3-031-84078-4_6
Palabra clave:data visualization
user experience evaluation
usability evaluation
smart agriculture
User Experience Questionnaire
UEQ
System Usability Scale
SUS