De-identified Repeated-Evaluation Dataset for Public Perception of AI-Visualized Industrial Heritage Regeneration

Description

This de-identified dataset contains repeated evaluations from 360 participants who assessed nine AI-visualized industrial heritage regeneration stimuli, yielding 3,240 observations. It includes anonymized participant IDs, stimulus identifiers, demographic variables, and item-level responses for perceived cultural authenticity, affective comfort of public space, perceived realism, perceived trust in visual representation, and scheme support. All construct items were measured using seven-point Likert scales.

Institutions

• Northeastern University

  Liaoning, Shenyang

Categories

Licence