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Conference paper

Cognitive load during gaze typing

In Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion — 2019, pp. 83-84

By Bafna, Tanya1,2,3,4,5; Paulin, John1,3,5

From

Implementation and Performance Management, Innovation, Department of Technology, Management and Economics, Technical University of Denmark1

Brain Computer Interface, Digital Health, Department of Health Technology, Technical University of Denmark2

Innovation, Department of Technology, Management and Economics, Technical University of Denmark3

Department of Applied Mathematics and Computer Science, Technical University of Denmark4

Department of Technology, Management and Economics, Technical University of Denmark5

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.

Language: English
Publisher: Association for Computing Machinery
Year: 2019
Pages: 83-84
Proceedings: The 24th International Conference on Intelligent User Interfaces
Types: Conference paper
DOI: 10.1145/3308557.3308663
ORCIDs: Bafna, Tanya and Paulin, John

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