NMF-Based Analysis of Mobile Eye-Tracking Data

arXiv:2404.03417v1 Announce Type: new
Abstract: The depiction of scanpaths from mobile eye-tracking recordings by thumbnails from the stimulus allows the application of visual computing to detect areas of interest in an unsupervised way. We suggest using nonnegative matrix factorization (NMF) to identify such areas in stimuli. For a user-defined integer k, NMF produces an explainable decomposition into k components, each consisting of a spatial representation associated with a temporal indicator. In the context of multiple eye-tracking recordings, this leads to …

abstract analysis application arxiv computing cs.cv data factorization identify matrix mobile stimulus tracking tracking data type unsupervised visual