Journal Article10.1145/175276.175282
Measuring usability: preference vs. performance
Jakob Nielsen,Jonathan Levy +1 more
540
TL;DR: Measurable usability parameters fall into two broad categories: subjective user preference measures, assessing how much the users like the system, and objective performance measures, which measure how capable the users are at using the system.
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Abstract: Simplistically stated, usability engineering aims at improving interactive systems and their user interfaces. Defined slightly more precisely [8], usability is a general concept that cannot be measured but is related to several usability parameters that can be measured. Measurable usability parameters fall into two broad categories: subjective user preference measures, assessing how much the users like the system, and objective performance measures, which measure how capable the users are at using the system
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Citations
Current practice in measuring usability: Challenges to usability studies and research
TL;DR: It is argued that increased attention to the problems identified and challenges discussed may strengthen studies of usability and usability research.
Measuring usability: are effectiveness, efficiency, and satisfaction really correlated?
Erik Frøkjær,Morten Hertzum,Kasper Hornbæk +2 more
- 01 Apr 2000
TL;DR: This work presents data from an experiment where 87 subjects solved 20 information retrieval tasks concerning programming problems, and the correlation between efficiency, as indicated by task completion time, and effectiveness, as indicating by quality of solution was negligible.
Successful implementation of user-centered game based learning in higher education: An example from civil engineering
Martin Ebner,Andreas Holzinger +1 more
TL;DR: The experimental findings support the efficacy of game playing and show that permanent repetition will lead to a more in-depth learning.
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Methods for Evaluating Interactive Information Retrieval Systems with Users
Diane Kelly
- 28 Apr 2009
TL;DR: In this paper, the authors provide an overview and instruction regarding the evaluation of interactive information retrieval systems with users and present core instruments and data collection techniques and measures, as well as a discussion of outstanding challenges and future research directions.
667
Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments
Shu-Sheng Liaw,Hsiu-Mei Huang +1 more
TL;DR: The statistical results showed that perceived satisfaction, perceived usefulness, and interactive learning environments were all found to predict perceived self-regulation in e-learning environments.
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545