Survey Data on Visual Attention and Museum Visit Intention for 205 Respondents

Zichen Ke's dataset contains survey results from 205 respondents examining the relationship between visual presentation of culturally creative desserts and museum visit intention. The data was analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) and last updated on 2026-04-13. The study tests a four-stage VCVB framework linking perceived visual attention, curiosity, visit motivation, and behavioral intention.

Use Cases

• Testing structural equation models based on the described VCVB framework variables.
• Analyzing indirect effects in consumer decision-making processes based on survey responses.
• Studying the role of curiosity as a mediator between visual stimuli and behavioral intention.
• Modeling visitor motivation for cultural institutions based on image-mediated first impressions.

Strengths

• Survey data from 205 respondents provides a sample for analysis.
• Data is associated with a specific theoretical framework (AIDA/VCVB) and analytical method (PLS-SEM).
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB file size suggests a very limited scope, likely containing only model results or summary statistics.

Provenance

Source

Zichen Ke via figshare

Collection Method

Survey using image-based stimuli.

Time Range

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Freshness

Last updated 2026-04-13 17:36:33; freshness should be verified.

Geography

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