Human–AI Interaction and Interpretability in User Interfaces

  • Authors

    • Dr. L. Amudavalli Assistant Professor, Department of Computer Applications, AIMAN College of Arts and Science for Women, Tiruchirappalli, Tamil Nadu, India. Author

    Published 2026-01-03

  • Human–AI Interaction, Interpretability, Explainable AI (XAI), User Interface Design, Trust in AI, Human-Centered AI, Visual Explanations, Interactive Systems, Usability, AI Transparency

    Issue

    Vol. 1 No. 1 (2026)

    Section

    Articles

    How to Cite

    [1]
    A. L, “Human–AI Interaction and Interpretability in User Interfaces”, IJAIDT, vol. 1, no. 1, pp. 13–21, Jan. 2026, Accessed: Mar. 02, 2026. [Online]. Available: https://worldcometresearchgroup.com/index.php/ijaidt/article/view/67

  • Abstract

    As artificial intelligence (AI) systems increasingly influence everyday decision-making, ensuring their transparency and interpretability becomes critical for effective Human-AI Interaction (HAI). This paper explores the intersection of interpretability and user interface (UI) design to enhance user understanding, trust, and control in AI-assisted applications. We propose a framework that integrates interpretable AI components into UI elements, emphasizing visual explanations, interactive feedback, and contextual transparency. Through a case study and user evaluation, we demonstrate that interpretability-aware UI design significantly improves user engagement and confidence in AI outcomes. Our findings contribute to the growing body of research in explainable AI and offer practical guidelines for designing intuitive, trustworthy AI-driven systems.

  • References

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