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UX Data Visualization: Supporting Software Professionals in Exploring Users’ Interaction Data

  • Maylon Macedo,
  • Luciana Zaina

摘要

The definition and understanding of UX data and its possibilities for analysis and production of insights play a key role in software teams’ adoption of UX practices. Information Visualization (InfoVis) offers approaches to assist the design of visualizations that users could better explore. Besides, it provides principles to support the analysis of information that emerged from data. This paper introduces a doctoral research project that uses Design Science Research (DSR) as a general methodology to guide successive research cycles involving investigations in the grey literature and exploratory studies to build a framework. This doctoral research aims to develop a framework for assisting software teams in creating, configuring, and using visual representations to organize, extract, and communicate information embedded within UX data.