Working memory and the detection of different error types - Novel predictions for error detection

Sze Yuen Yau, Simon Y.W. Li

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)

Abstract

Previous error detection research focused on the effectiveness of different checking methods. In this paper, we focus on the psychological mechanisms on error detection. We conceptualize working memory (WM) as a critical cognitive component in error detection and two studies were carried out to investigate the effects of WM load and capacity on error detection performance and the detection of different error types. Study I found a significant interaction effect of WM load × capacity: low WM capacity participants performed significantly worse in higher WM load condition, however, high WM capacity participants' performances were unaffected by higher WM load. Study II employed think-aloud technique to gain insights into detectable error types and generated novel predictions about the effect of WM demands on detecting different errors. These predictions allow for a new research direction in error detection. Copyright is held by the author/owner(s).

Original languageEnglish
Title of host publicationCHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationCrossings
PublisherAssociation for Computing Machinery (ACM)
Pages1031-1036
Number of pages6
ISBN (Electronic)9781450331463
DOIs
Publication statusPublished - 18 Apr 2015
Externally publishedYes
Event33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 - Seoul, Korea, Republic of
Duration: 18 Apr 201523 Apr 2015

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume18

Conference

Conference33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015
CountryKorea, Republic of
CitySeoul
Period18/04/1523/04/15

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