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The paper discusses the first attempt of a new method to analyze the behavior of software users from users’ session data. In this study, we acknowledged a few machine learning and analysis methods that can be used to identify user groups. We then discuss our current methodology and results for finding user behavior levels from raw session data.

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Toward an Automatic Behavior Identification for User Experience Understanding

  • 会议论文

  • 发表日期：

    2025年

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  • Youcef Abdelsadek,
  • Nathan Clotagatide,
  • Loïc Cueroni,
  • Imed Kacem

摘要

The paper discusses the first attempt of a new method to analyze the behavior of software users from users’ session data. In this study, we acknowledged a few machine learning and analysis methods that can be used to identify user groups. We then discuss our current methodology and results for finding user behavior levels from raw session data.