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August 6, 2025

Visual Extraction of Interaction Patterns Guided by Hierarchical Clustering and Process Mining

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Authors

PYPeilin YuANAida NordmanTFTakanori Fujiwara

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Overview

Visual analytics reveals interaction patterns in unstructured data through hierarchical clustering and process mining, suggesting methods for system usability improvement.

Key Points

  • Main finding shows that integrating hierarchical clustering and process mining uncovers meaningful interaction patterns.
  • Key evidence indicates that the system effectively visualizes large interaction sequence data through tailored similarity measures.
  • Approach involves visual navigation of clustering results using contextual cues for analysts to validate findings.
  • Significance lies in improving system usability by analyzing user behaviors through visual guidance and domain expertise.

Cite This Study

Yu et al. (2025) studied this question.

synapsesocial.com/papers/689a0f99e6551bb0af8d157ehttps://doi.org/10.31219/osf.io/n5dxe_v2
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Also Consider

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  1. 1Interaction Visualization for Analysing and Improving User Models2024
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  3. 3Revealing Interaction Dynamics: Multi-Level Visual Exploration of User Strategies with an Interactive Digital Environment2024 · 1 citations
  4. 4Tiramisù: making sense of multi-faceted process information through time and space2024 · 2 citations
  5. 5Understanding Semantic User Interactions in Visualization2024 · 1 citations