Privacy-preserving Scanpath Comparison for Pervasive Eye Tracking

arXiv:2404.06216v1 Announce Type: new
Abstract: As eye tracking becomes pervasive with screen-based devices and head-mounted displays, privacy concerns regarding eye-tracking data have escalated. While state-of-the-art approaches for privacy-preserving eye tracking mostly involve differential privacy and empirical data manipulations, previous research has not focused on methods for scanpaths. We introduce a novel privacy-preserving scanpath comparison protocol designed for the widely used Needleman-Wunsch algorithm, a generalized version of the edit distance algorithm. Particularly, by incorporating the Paillier homomorphic encryption scheme, our protocol …

art arxiv cs.cr cs.hc data devices differential privacy displays eye tracking head novel privacy privacy concerns research screen state tracking