Cognitive load during gaze typing

Tanya Bafna, John Paulin

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Cognitive load derived from pupillary measures has been studied extensively in the human-computer interaction community, using various kinds of tasks and measures. In this paper, we present preliminary results on the cognitive load due to a gaze typing task of varying complexities. A pilot study was conducted to observe if a task on gaze typing sentences, of varying complexities, could generate different cognitive load in the participants. The data obtained was from pupils, blink data, pupil oscillation measured in form of Index of Pupillary Activity and subjective scores. Logistic regression was performed to observe the difference between easy and difficult tasks and they were successfully differentiated, with 75% accuracy, using the measures of absolute pupil size, relative pupil size and subjective scores given by the participants.
Original languageEnglish
Title of host publicationProceedings of the 24th International Conference on Intelligent User Interfaces: Companion
PublisherAssociation for Computing Machinery
Publication date2019
Publication statusPublished - 2019
EventThe 24th International Conference on Intelligent User Interfaces - USA, Los Angeles
Duration: 16 Mar 201920 Mar 2019


ConferenceThe 24th International Conference on Intelligent User Interfaces
CityLos Angeles
Internet address


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