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An important aspect of Artificial Intelligence (AI) systems is their User Experience (UX), which can impact the user’s trust in the AI system. However, UX has not yet been in the focus of AI research. In previous research, we have evaluated the UX of the AI system OMA-ML, uncovering weak points and proposing several recommendations for ensuring a positive UX in AI systems in general. In this paper we show that implementing those recommendations leads to measurable UX improvements. We present the interaction workflow of OMA-ML, based on CRISP-DM. Based on this, we present UX-improving features implemented in a new version of OMA-ML and the results from a second UX evaluation. The UX of OMA-ML could successfully be improved in four interactive principles (suitability for the user’s tasks, self-descriptiveness, user engagement and learnability). We argue that an iterative approach to UX potentially leads to more human-centered AI.

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Enhancing User Experience in Artificial Intelligence Systems: A Practical Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Alexander Zender,
  • Bernhard G. Humm,
  • Anna Holzheuser

摘要

An important aspect of Artificial Intelligence (AI) systems is their User Experience (UX), which can impact the user’s trust in the AI system. However, UX has not yet been in the focus of AI research. In previous research, we have evaluated the UX of the AI system OMA-ML, uncovering weak points and proposing several recommendations for ensuring a positive UX in AI systems in general. In this paper we show that implementing those recommendations leads to measurable UX improvements. We present the interaction workflow of OMA-ML, based on CRISP-DM. Based on this, we present UX-improving features implemented in a new version of OMA-ML and the results from a second UX evaluation. The UX of OMA-ML could successfully be improved in four interactive principles (suitability for the user’s tasks, self-descriptiveness, user engagement and learnability). We argue that an iterative approach to UX potentially leads to more human-centered AI.