Sensetagged
Sensetagged refers to a metadata practice in which digital items are annotated with sensory descriptors—tags that describe perceptual properties across modalities. The goal is to encode human-perceived sensory information alongside traditional metadata, enabling more nuanced search, accessibility, and immersive experiences across text, image, audio, and video content.
In a sensetagged data model, tags are organized into an ontology or taxonomy of sensory attributes. Common
Applications include digital libraries and media repositories that support sensory search, e-commerce catalogs that convey product
Challenges include subjectivity in sensory perception, varying cultural or language interpretations, and inconsistencies among annotators. Standardization
Example: an image tagged with color: blue, saturation: high; lightness: mid; texture: rough. An audio clip tagged