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Pre-viewing context and visual attention in museum scenes: an exploratory eye-tracking study.

Xiaoyu Li1,2,3, Jianmin Meng1,2,3, Zixin Chen1,2

  • 1School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China.

Frontiers in Psychology
|May 20, 2026
PubMed
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Pre-viewing context significantly influences visual attention in museum settings, guiding where people look. Different context formats and evaluation metrics reveal distinct patterns in attention allocation.

Area of Science:

  • Cognitive Science
  • Human-Computer Interaction
  • Museum Studies

Background:

  • Visual attention is influenced by both image features and pre-viewing context.
  • The impact of different context formats on attention in curated visual scenes is not well understood.
  • Evaluation metrics can affect findings on attention allocation.

Purpose of the Study:

  • To investigate how different pre-viewing context formats affect visual attention in museum-oriented scenes.
  • To explore the relationship between context, image saliency, and attention patterns.
  • To develop a metric-aware approach for analyzing context-associated attention differences.

Main Methods:

  • An exploratory free-viewing eye-tracking study was conducted.
  • Participants viewed museum scene keyframes after receiving brief pre-viewing context in various formats.
Keywords:
computational saliencyeye-trackingpre-viewing contextsaliency evaluation metricsvisual attention

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  • Gaze data from 10 participants across 30 images were analyzed against saliency models.

    • Main Results:

    • Systematic differences in gaze-reference correspondence and variability were observed based on context.
    • Pre-viewing context demonstrably influences the concentration of visual attention.
    • Different evaluation metrics highlighted distinct aspects of attention deviation.

    Conclusions:

    • Pre-viewing context plays a crucial role in shaping visual attention within interpretive settings.
    • A metric-aware approach can effectively report context-associated attention differences, even in small datasets.
    • Findings can inform the design of interpretive displays using textual and graphical cues to guide viewer attention.