Spatial Perception Orientation Task (SPOT): Developing an accessible tool for measuring spatial working memory

Dawn G. Blasko, Holly Blasko Drabik, Heather C. Lum, Shane Halse, Megan A. Harris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Software applications are becoming increasingly realistic and complex which creates greater opportunities for work, gameplay and education. However, the limitations of human working memory create serious constraints for software and hardware designers and developers. Working memory capacity differs across individuals and shows growth through early childhood and decline in many older adults. However, recent research has shown that working memory is trainable and can improve problems such as attentional deficit disorder and cognitive problems in aging. The current work describes the development and preliminary validation of SPOT; the Spatial Perception Orientation Task. Spatial working memory is particularly important to spatial cognition, including mental rotation and spatial visualization. It is also important to understanding navigation in complex game worlds. After validation is complete, HCI practitioners will find SPOT easy to use, and available on-line. It will also be usable for different age groups and for those with color deficiencies.

Original languageEnglish (US)
Title of host publicationCHI EA 2014
Subtitle of host publicationOne of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages1753-1758
Number of pages6
ISBN (Print)9781450324748
DOIs
StatePublished - 2014
Event32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014 - Toronto, ON, Canada
Duration: Apr 26 2014May 1 2014

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014
CountryCanada
CityToronto, ON
Period4/26/145/1/14

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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