Cited By
View all- Kawu AO’Sullivan DHederman LVan Reisen M(2023)FAIR4PGHD: A framework for FAIR implementation over PGHDFAIR Connect10.3233/FC-2305001:1(35-40)Online publication date: 3-Feb-2023
Metadata-driven eye tracking for real-time applications
Authors: 
Yasith Jayawardana, 
Gavindya Jayawardena, 
Andrew T. Duchowski, 
Sampath JayarathnaAuthors Info & Claims
Article No.: 22, Pages 1 - 4
Abstract
When conducting eye tracking studies, having a mechanism to collect data, build workflows, and validate results in a FAIR (i.e., findable, accessible, interoperable, and reusable) manner, facilitates automation. Given the vast landscape of vendor-specific eye tracking software, adopting FAIR metadata standards for the eye tracking domain is one step towards this. In this paper, we propose an approach to simplify the creation, execution, and validation of eye tracking studies through metadata. Using a metadata format that we developed, we first describe two eye trackers, and two datasets collected using them. Next, we use this metadata to simulate real-time data collection by replaying each dataset. From this replayed data, we analyze eye movements in real-time, and synthesize eye movement data from analytics in real-time. Based on our results, we discuss the utility of metadata in real-time eye tracking studies, and how this idea can be generalized into other applications.
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Index Terms
- Metadata-driven eye tracking for real-time applications
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Published In
August 2021
178 pages
ISBN:9781450385961
DOI:10.1145/3469096
- General Chairs:
- Patrick Healy,
- Mihai Bilauca,
- Program Chair:
- Alexandra Bonnici
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Published: 16 August 2021
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View all- Kawu AO’Sullivan DHederman LVan Reisen M(2023)FAIR4PGHD: A framework for FAIR implementation over PGHDFAIR Connect10.3233/FC-2305001:1(35-40)Online publication date: 3-Feb-2023
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