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Master usability scaling: magnitude estimation and master scaling applied to usability measurement
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
Vienna, Austria
Pages: 335 - 342  
Year of Publication: 2004
ISBN:1-58113-702-8
Author
Mick McGee  Oracle Corporation, Redwood Shores, CA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
SIGCAPH: ACM SIGCAPH Computers and the Physically Handicapped
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGGROUP: ACM Special Interest Group on Supporting Group Work
SIGDOC : ACM Special Interest Group on Systems Documentation
Publisher
ACM  New York, NY, USA
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ABSTRACT

Master Usability Scaling (MUS) is a measurement method for developing a universal usability continuum based on magnitude estimation and master scaling. The universal usability continuum allows true ratio comparisons, potentially between all items measurable by the construct of usability (attributes, tasks, or products -- software or hardware) that have contributed to the meta-set by following the procedures prescribed. This paper describes the background for MUS, data reduction, and cases studies in software usability assessment.MUS is based on a new measurement method of usability, Usability Magnitude Estimation (UME) [9], where users estimate usability magnitude according to an objective definition of usability. UME allows all items measured within a single usability activity to be compared across one continuum. MUS utilizes UME to assess standard reference tasks across different usability activities to construct one meta-set of data. This meta-set of data can be represented as a universal usability continuum. MUS is simple to administer, easy to comprehend, and with advanced underlying calculations, powerful to use. The MUS continuum has the potential to be a widespread, robust, universal measurement scale of usability.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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