• Applying information foraging theory to understand user interaction with content-based image retrieval

      Liu, Haiming; Mulholland, Paul; Song, Dawei; Uren, Victoria; Rüger, Stefan (ACM, 2010)
      The paper proposes an ISE (Information goal, Search strategy, Evaluation threshold) user classification model based on Information Foraging Theory for understanding user interaction with content-based image retrieval (CBIR). The proposed model is verified by a multiple linear regression analysis based on 50 users' interaction features collected from a task-based user study of interactive CBIR systems. To our best knowledge, this is the first principled user classification model in CBIR verified by a formal and systematic qualitative analysis of extensive user interaction data.