CycleVis - Uma abordagem de visualização esportiva para análise de desempenho de ciclistas

Abstract

Technological evolution, together with the growing mass production of data, demands the creation of new mechanisms for processing and analysis in different information domains. The same applies to the sports domain, which has a great popular appeal around the world and is increasingly attracting the interest of the scientific community. Among the different sports genres, cycling has been gaining special attention in the information visualization and Visual Analytics community over the years. In general, the focus of these works is on discovering patterns to trace strategies, display statistical information, or analyze the performance of groups of cyclists. However, there is a gap in studies that focus on routes not related to professional competitions or that consider intensity attributes in their analysis. In this context, this work presents CycleVis, a data visualization approach for cycling that allows for a better understanding of cyclists' sports performance and their pedaling. To do so, intensity characteristics such as speed, heart rate, and elevation, as well as the geolocation of pedaling, were used. To validate the approach, a use case was developed and evaluated through a user study, which resulted in a positive evaluation for effectiveness and usability. All users agreed that CycleVis can help in the development of strategies for understanding cycling activity and can also be adapted to other sports modalities.