Investigating the generalizability of EEG-based cognitive load estimation across visualizations

Viral Parekh, C. V. Jawahar, Ramanathan Subramanian, Maneesh Bilalpur, Stefan Winkler, Shravan Kumar

Research output: Contribution to conference (non-published works)Paper

Abstract

We examine if EEG-based cognitive load (CL) estimation is generalizable across the character, spatial pattern, bar graph and pie chart-based visualizations for the n-back task. CL is estimated via two recent approaches: (a) Deep convolutional neural network [2], and (b) Proximal support vector machines [15]. Experiments reveal that CL estimation suffers across visualizations calling for for effective machine learning techniques to benchmark visual interface usability for a given analytic task.

Original languageEnglish
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 16 Oct 2018
Externally publishedYes
Event20th International Conference on Multimodal Interaction, ICMI 2018 - Boulder, United States
Duration: 16 Oct 201820 Oct 2018

Conference

Conference20th International Conference on Multimodal Interaction, ICMI 2018
CountryUnited States
CityBoulder
Period16/10/1820/10/18

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