Revisiting Visualization Evaluation Using EEG and Visualization Literacy Assessment Test
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Using EEG signals, also known as Electroencephalogram, can provide a quantitative measure of human cognitive load, making it an effective tool for evaluating visualization. However, the suitability of EEG for visualization evaluation has not been verified in previous studies. This paper investigates the feasibility of utilizing EEG data in visualization evaluation by comparing previous experiments. We trained and estimated individual CNN models for each subject using the EEG data. Our study demonstrates that EEG-based visualization evaluation provides a more feasible estimate of the difficulties experienced by subjects during the visualization task compared to previous studies that used accuracy and response time.
Description
CCS Concepts: Human-centered computing -> Visualization design and evaluation methods
@inproceedings{10.2312:pg.20231289,
booktitle = {Pacific Graphics Short Papers and Posters},
editor = {Chaine, Raphaëlle and Deng, Zhigang and Kim, Min H.},
title = {{Revisiting Visualization Evaluation Using EEG and Visualization Literacy Assessment Test}},
author = {Yim, Soobin and Jung, Chanyoung and Yoon, Chanyoung and Yoo, Sangbong and Choi, Seongwon and Jang, Yun},
year = {2023},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-234-9},
DOI = {10.2312/pg.20231289}
}