Survey Data on Visitor Intentions for Culturally Creative Desserts, 205 Respondents

Zichen Ke's dataset from 2026 contains survey responses from 205 participants examining the relationship between visual presentation and visit-related behavioral intentions. The study used image-based stimuli of culturally creative desserts modelled after Chinese museum artefacts. Data was analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM).

Use Cases

• Testing structural equation models based on the VCVB (Visual Attention, Curiosity, Visit Motivation, Behavioral Intention) framework described.
• Analyzing the indirect relationship between visual attention and behavioral intention through curiosity and motivation as outlined in the study.
• Investigating first-exposure, image-mediated effects on museum visitor intentions using survey data.

Strengths

• Data is from a survey with 205 respondents, providing a specific sample size.
• Dataset is licensed under CC-BY-4.0, allowing for open reuse and modification.
• Study design is clearly described, using image-based stimuli and PLS-SEM analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect bias inherent to the specific survey sample and figshare platform.

Provenance

Source

Zichen Ke via figshare.

Collection Method

Survey using image-based stimuli.

Time Range

Survey date unknown; dataset last updated in 2026.

Freshness

Last updated 2026-04-13 17:36:32; freshness should be verified.

Geography

Likely related to Chinese cultural artefacts, but specific respondent geography is unknown.