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Data Driven Agents for User Experience Testing

  • Pedro M. Fernandes,
  • Manuel Lopes,
  • Rui Prada

摘要

Testing User eXperience (UX) during the development of complex systems, such as games, often requires costly and time-consuming human involvement. To address this issue, we propose the use of modular UX testing agents capable of providing quick and on-demand UX estimates. These agents empower developers to efficiently assess UX design goals and understand user actions and preferences. We present two data-driven modules for creating a flexible UX testing agent: one for emotion prediction and another for generating persona-like behaviour. The agent enables the evaluation of various player types and their emotional responses within a game environment.