Literature DB >> 14702996

Determining the effectiveness of the usability problem inspector: a theory-based model and tool for finding usability problems.

Terence S Andre1, H Rex Hartson, Robert C Williges.   

Abstract

Despite the increased focus on usability and on the processes and methods used to increase usability, a substantial amount of software is unusable and poorly designed. Much of this is attributable to the lack of cost-effective usability evaluation tools that provide an interaction-based framework for identifying problems. We developed the user action framework and a corresponding evaluation tool, the usability problem inspector (UPI), to help organize usability concepts and issues into a knowledge base. We conducted a comprehensive comparison study to determine if our theory-based framework and tool could be effectively used to find important usability problems in an interface design, relative to two other established inspection methods (heuristic evaluation and cognitive walkthrough). Results showed that the UPI scored higher than heuristic evaluation in terms of thoroughness, validity, and effectiveness and was consistent with cognitive walkthrough for these same measures. We also discuss other potential advantages of the UPI over heuristic evaluation and cognitive walkthrough when applied in practice. Potential applications of this work include a cost-effective alternative or supplement to lab-based formative usability evaluation during any stage of development.

Mesh:

Year:  2003        PMID: 14702996     DOI: 10.1518/hfes.45.3.455.27255

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  2 in total

1.  Creating patient and family education web sites: assuring accessibility and usability standards.

Authors:  Donna Macan Yadrich; Sharon A Fitzgerald; Marilyn Werkowitch; Carol E Smith
Journal:  Comput Inform Nurs       Date:  2012-01       Impact factor: 1.985

2.  Interface design recommendations for computerised clinical audit and feedback: Hybrid usability evidence from a research-led system.

Authors:  Benjamin Brown; Panos Balatsoukas; Richard Williams; Matthew Sperrin; Iain Buchan
Journal:  Int J Med Inform       Date:  2016-07-16       Impact factor: 4.046

  2 in total

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