@inproceedings{ad20c217ebcf4b8c948a23f4743e0cd8,
title = "The role of working memory capacity in graph reading performance",
abstract = "![CDATA[We process information in memory and different people have different memory capacity. It is therefore important to understand possible impact of memory capacity when it comes to graph comprehension. In an attempt towards this direction, we conducted a user study investigating the impact of working memory capacity on graph reading task performance. Forty-six university students participated in the study performing a graph reading task with one hundred graph drawings of different complexity levels. Their working memory capacity and task performance (accuracy and time) were measured and recorded. The results of regression analyses indicated that working memory capacity was a significant predictor of performance accuracy, but not for response time. In this paper, we present the details of the study and discuss our findings and limitations of the study. Possible future research directions are also suggested.]]",
keywords = "graphs, human information processing, short-term memory, visualization",
author = "Ciara Fletcher and Weidong Huang and David Arness and Nguyen, {Quang Vinh}",
year = "2019",
doi = "10.1109/PacificVis.2019.00017",
language = "English",
isbn = "9781538692264",
publisher = "IEEE",
pages = "77--81",
booktitle = "Proceedings of the 2019 IEEE Pacific Visualization Symposium, PacificVis 2019, Bangkok, Thailand, 23-26 April 2019",
note = "IEEE Pacific Visualization Symposium ; Conference date: 23-04-2019",
}