HTMT Value: Survey Data on OTT Platform User Experience from 230 Respondents

230 survey responses from users of Over-The-Top (OTT) video platforms, collected by Ya-Qin You and last updated on 2026-05-29. The dataset contains 21 items measured on seven-point Likert scales, used to analyze how user experience dimensions influence functional value, satisfaction, and usage intention. A PLS-SEM analysis was conducted using SmartPLS 3 with 5,000 bootstrap resamples.

Use Cases

• Modeling user satisfaction based on convenience, interaction, and emotional experience factors mentioned in the description
• Predicting usage intention for OTT platforms based on survey-derived UX dimensions
• Analyzing the mediating role of satisfaction between service quality and user intention as described
• Training models to understand the relationship between functional value and user retention in digital services

Strengths

• Dataset includes 230 survey responses, providing a foundation for statistical analysis.
• Model fit and predictive performance metrics are reported (SRMR=0.075, R² values up to 0.760).
• Data is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• The dataset is very small (5.5 KB), indicating limited scope and feature set.

Provenance

Source

figshare

Collection Method

Survey data collection from OTT platform users.

Freshness

Last updated 2026-05-29 17:35:02; freshness should be verified.