@inproceedings{dee639e6e12d45b3ace6136446f77137,
title = "Mobile and computer-based talent assessments: Implications of workload and usability",
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.",
keywords = "Computer, Mobile, Surveys, Talent assessment, Universal usability, Usability, Workload",
author = "Proaps, {Alexandra B.} and Cavanaugh, {Katelyn J.} and Landers, {Richard N.} and Kantrowitz, {Tracy M.} and Reddock, {Craig M.}",
year = "2014",
doi = "10.1145/2559206.2581136",
language = "English (US)",
isbn = "9781450324748",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "2299--2304",
booktitle = "CHI EA 2014",
note = "32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014 ; Conference date: 26-04-2014 Through 01-05-2014",
}