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

A 2026 survey of 205 respondents analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The data examines the relationship between visual presentation of culturally creative desserts and museum visit intentions under first-exposure, image-mediated conditions. The study was authored by Zichen Ke and shared under a CC-BY-4.0 license.

Use Cases

• Testing structural equation models based on the VCVB (Visual Attention, Curiosity, Visit Motivation, Behavioural Intention) framework.
• Analyzing indirect causal pathways in consumer decision-making based on survey responses.
• Investigating the role of epistemic curiosity as a mediator between visual stimuli and behavioral intention.
• Benchmarking PLS-SEM analysis techniques on a small-scale behavioral dataset.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Analysis is based on a survey with a specific sample size of 205 respondents.
• The study employs a defined theoretical framework (AIDA/VCVB) and PLS-SEM methodology.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope and likely a summary or model output.
• Description metadata is limited; actual data quality and variable definitions require manual inspection.

Provenance

Source

Zichen Ke via figshare.

Collection Method

Survey using image-based stimuli, analyzed with PLS-SEM.

Time Range

Survey likely conducted prior to 2026 publication.

Freshness

Last updated 2026-04-13 17:36:35.

Geography

Likely focused on Chinese cultural context, but specific geography is not stated.