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Characterizing eye gaze and mental workload for assistive device control

Characterizing eye gaze and mental workload for assistive device control

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a2af28c7978f49468d0ca76efe4da0a5

Characterizing eye gaze and mental workload for assistive device control

About this item

Full title

Characterizing eye gaze and mental workload for assistive device control

Publisher

England: Cambridge University Press

Journal title

Wearable technologies, 2025, Vol.6, p.e13, Article e13

Language

English

Formats

Publication information

Publisher

England: Cambridge University Press

More information

Scope and Contents

Contents

Eye gaze tracking is increasingly popular due to improved technology and availability. In the domain of assistive device control, however, eye gaze tracking is often used in discrete ways (e.g., activating buttons on a screen), and does not harness the full potential of the gaze signal. In this article, we present a method for collecting both react...

Alternative Titles

Full title

Characterizing eye gaze and mental workload for assistive device control

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a2af28c7978f49468d0ca76efe4da0a5

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a2af28c7978f49468d0ca76efe4da0a5

Other Identifiers

ISSN

2631-7176

E-ISSN

2631-7176

DOI

10.1017/wtc.2024.27

How to access this item