Data Driven Agents for User Experience Testing
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.