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Adaptive Multidimensional Model for User Interface Quality Assessment

Author

Listed:
  • Ina Asenova Naydenova

    (Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria)

  • Zlatinka Svetoslavova Kovacheva

    (Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
    Department of Mathematics and Informatics, University of Mining and Geology, 1700 Sofia, Bulgaria)

  • Iliya Krasimirov Georgiev

    (Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria)

Abstract

User interface evaluation remains fragmented across performance metrics, subjective assessments, and user-dependent factors, limiting the comparability and interpretability of results across methodological traditions. This paper proposes a multidimensional evaluation framework that integrates these perspectives into a coherent analytical structure. The framework consists of three dimensions—Functional–Objective, Cognitive–Perceptual, and Contextual–Individual—each capturing a distinct facet of interface quality. A key feature of the proposed approach is the use of profile-dependent weighting, which enables evaluation results to reflect the specific priorities of different user groups. The framework’s operational logic is demonstrated through structured illustrative scenarios, showing how the model can be applied in practice to support more informed design and evaluation decisions. By aligning heterogeneous evaluation logics within a unified structure, the proposed approach provides a systematic basis for more consistent, transparent, and context-sensitive assessment of user interfaces.

Suggested Citation

  • Ina Asenova Naydenova & Zlatinka Svetoslavova Kovacheva & Iliya Krasimirov Georgiev, 2026. "Adaptive Multidimensional Model for User Interface Quality Assessment," Future Internet, MDPI, vol. 18(5), pages 1-18, May.
  • Handle: RePEc:gam:jftint:v:18:y:2026:i:5:p:261-:d:1943588
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