Optimizing Usability Studies by Complementary Evaluation Methods

Martin Schmettow, Cedric Bach, Dominique Scapin

Research output: Contribution to conferencePaperAcademicpeer-review

2 Citations (Scopus)
90 Downloads (Pure)

Abstract

This paper examines combinations of complementary evaluation methods as a strategy for efficient usability problem discovery. A data set from an earlier study is re-analyzed, involving three evaluation methods applied to two virtual environment applications. Results of a mixed-effects logistic regression suggest that usability testing and inspection discover rather disjunctive sets of problems. A resampling analysis reveals that mixing inspection and usability testing sessions in equal parts finds 20% more problems with the same number of sessions
Original languageEnglish
Number of pages10
DOIs
Publication statusPublished - 9 Sep 2014
Event28th International BCS Human Computer Interaction Conference, HCI 2014: Sand, sea and Sky - Holiday HCI - Royal Clifton Hotel, Southport, United Kingdom
Duration: 9 Sep 201412 Sep 2014
Conference number: 28

Conference

Conference28th International BCS Human Computer Interaction Conference, HCI 2014
Abbreviated titleHCI
CountryUnited Kingdom
CitySouthport
Period9/09/1412/09/14

Keywords

  • METIS-306375
  • IR-92518
  • usability evaluation
  • effectiveness
  • virtual environments
  • logistic regression
  • mixed-effects linear model

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  • Cite this

    Schmettow, M., Bach, C., & Scapin, D. (2014). Optimizing Usability Studies by Complementary Evaluation Methods. Paper presented at 28th International BCS Human Computer Interaction Conference, HCI 2014, Southport, United Kingdom. https://doi.org/10.14236/ewic/hci2014.12