X-DisETrac: Distributed Eye-Tracking with Extended Realities

Presenter and Co-Authors

Bhanuka Mahanama, Old Dominion UniversityFollow
Sampath Jayarathna, Old Dominion University

College

College of Sciences

Department

Computer Science

Graduate Level

Doctoral

Publication Date

2023

DOI

10.25883/0z5m-4939

Abstract

Humans use heterogeneous collaboration mediums such as in-person, online, and extended realities for day-to-day activities. Identifying patterns in viewpoints and pupillary responses (a.k.a eye-tracking data) provide informative cues on individual and collective behavior during collaborative tasks. Despite the increasing ubiquity of these different mediums, the aggregation and analysis of eye-tracking data in heterogeneous collaborative environments remain unexplored. Our study proposes X-DisETrac: Extended Distributed Eye Tracking, a versatile framework for eye tracking in heterogeneous environments. Our approach tackles the complexity by establishing a platform-agnostic communication protocol encompassing three data streams to simplify data aggregation and analytics. Our study establishes seminal work in multi-user eye-tracking in heterogeneous environments.

Keywords

Eye tracking, Mixed reality, Collaboration, Multi-user eye-tracking

Disciplines

Data Science | Graphics and Human Computer Interfaces | Other Computer Sciences

Files

Recommended Citation

Mahanama, Bhanuka and Jayarathna, Sampath, "X-DisETrac: Distributed Eye-Tracking with Extended Realities" (2023). College of Sciences Posters. 9.
https://digitalcommons.odu.edu/gradposters2023_sciences/9