Visual language for Scent
Smell and touch
a visual investigation
I'll discuss the underlying conceptual background of ScentSenzia, an ever-growing digital quilt shaped by scent memories AI-harvested from 7.5k members of the ‘Abscent’ Facebook community, concentrating on smell loss in the context of covid 19 and other calamities.
I invite the digital quilt visitor to consider the connection between a scent memory and a texture by determining the tactile parameters one ascribes to a specific scent memory. Visitors’ input will help determine whether a memory of a wood stove that induces a feeling of longing is smooth or wrinkled, damp or dry. These inputs will serve as building blocks of a future visual language for scent.