Mobile and computer-based talent assessments: Implications of workload and usability

Alexandra B. Proaps, Katelyn J. Cavanaugh, Richard N. Landers, Tracy M. Kantrowitz, Craig M. Reddock

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

2 Scopus citations

Abstract

Some organizations have begun to implement more unproctored mobile talent assessment methods in addition to traditional computer-based assessment, requiring new human-computer interaction constructs, methods, and approaches. Usability testing and assessments of user satisfaction and mental workload and the technology's effectiveness and efficiency are critical before implementing new methods of assessments. Initial results of this study provide some initial positive implications for organizations to adopt the use of well-designed mobile-based talent assessments.

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
Pages2299-2304
Number of pages6
ISBN (Print)9781450324748
DOIs
StatePublished - 2014
Externally publishedYes
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

Keywords

  • Computer
  • Mobile
  • Surveys
  • Talent assessment
  • Universal usability
  • Usability
  • Workload

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