Research on users’ mental model in image retrieval

Danqi Hu; Wei Qian; Dong Wei

doi:10.1117/12.3009449

11 October 2023 Research on users’ mental model in image retrieval

Danqi Hu, Wei Qian, Dong Wei

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129181T (2023) https://doi.org/10.1117/12.3009449
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

Through the study of users’ mental model, this paper discusses the interactive process of image retrieval, and provides ideas for accurate image retrieval in line with user psychology. Through the methods of concept list and user log, this paper builds a Users’ Mental Model in Image Retrieval (UMMIR), discusses the dimensions, characteristics and types of users of image retrieval, and applies UMMIR to the retrieval strategy, constructs the topological relationship of Tagcloud, and verifies it with the visual prototype. The UMMIR consists of three levels: the Platform Technology Level (PTL), the Interactive Experience Level (IEL), and the Image Content Level (ICL). It includes 12 dimensions: Service Platform (SPD), Intelligent Drive (IDD), Intellectual Property (IPD), Retrieval Entrance (RED), Feedback and Sifting (FSD), Interactive Interface (IID), Topic (TD), Emotion (ED), Composition (CD), Style (SD), Purpose (PD), Quality (QD). UMMIR has the characteristics of Scenarios, Complexity, Imperfection, and Gradualness. Users in UMMIR can be divided into five types: Target-driven, Art-driven, Structure-driven, Platform-dependent and AI-yearner. The visualization of UMMIR to the retrieval platform provides a direct basis for the optimization of the interactive process in image retrieval.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Danqi Hu, Wei Qian, and Dong Wei "Research on users’ mental model in image retrieval", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129181T (11 October 2023); https://doi.org/10.1117/12.3009449

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