SmellSpace: An Odor-Based Social Network as a Platform for Collecting Olfactory Perceptual Data.

ABSTRACT: A common goal in olfaction research is modeling the link between odorant structure and odor perception. Such modeling efforts require large data sets on olfactory perception, yet only a few of these are publicly and freely available. Given that individual odor perception may be informative on personal makeup and interpersonal relationships, we hypothesized that people would gladly provide olfactory perceptual estimates in the context of an odor-based social network. We developed a web-based infrastructure for such a network we called SmellSpace and distributed 10 000 scratch-and-sniff registration booklets each containing a subset of 12 out of 35 microencapsulated odorants. Within ~100 days, we obtained data from ~1000 participants who rated the odorants along 13 verbal descriptors. To ver

SUBMITTER: Snitz K 

PROVIDER: S-EPMC6462760 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature