The role of working memory capacity in graph reading performance

Ciara Fletcher, Weidong Huang, David Arness, Quang Vinh Nguyen

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

2 Citations (Scopus)

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.]]
Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE Pacific Visualization Symposium, PacificVis 2019, Bangkok, Thailand, 23-26 April 2019
PublisherIEEE
Pages77-81
Number of pages5
ISBN (Print)9781538692264
DOIs
Publication statusPublished - 2019
EventIEEE Pacific Visualization Symposium -
Duration: 23 Apr 2019 → …

Publication series

Name
ISSN (Print)2165-8765

Conference

ConferenceIEEE Pacific Visualization Symposium
Period23/04/19 → …

Keywords

  • graphs
  • human information processing
  • short-term memory
  • visualization

Fingerprint

Dive into the research topics of 'The role of working memory capacity in graph reading performance'. Together they form a unique fingerprint.

Cite this