Optimizing Usability Studies by Complementary Evaluation Methods

Martin Schmettow, Cedric Bach, Dominique Scapin

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)
238 Downloads (Pure)


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
Publication statusPublished - 9 Sept 2014
Event28th International BCS Human Computer Interaction Conference, HCI 2014: Sand, sea and Sky - Holiday HCI - Royal Clifton Hotel, Southport, United Kingdom
Duration: 9 Sept 201412 Sept 2014
Conference number: 28


Conference28th International BCS Human Computer Interaction Conference, HCI 2014
Abbreviated titleHCI
Country/TerritoryUnited Kingdom


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


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