Comparison of three one-question, post-task usability questionnaires
By Jeff Sauro, J. Dumas. 2009
484 citations recorded by the source corpus.
Subfields: Information Systems, Social Psychology, Human-Computer Interaction
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Gary Klein
- Robert R. Hoffman
- William J. Clancey
- James R. Lewis
- Brian S. Utesch
- Deborah E. Maher
- Kraig A. Finstad
- Abigail Emrey
In Social Psychology
- Shane T. Mueller
- Robert R. Hoffman
- Gary Klein
- Mark Billinghurst
- James R. Lewis
- Kraig A. Finstad
- E. Sadler‐Smith
- Cinla Akinci
In Human-Computer Interaction
- James R. Lewis
- Brian S. Utesch
- Deborah E. Maher
- Gun A. Lee
- R. Lindeman
- Gary Klein
- Mark Billinghurst
- Robert R. Hoffman
Citations in the corpus
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “…al., 2011; Kulesza, Stumpf, Burnett, and Kwan, 2012; T. Miller, 2017; T. Miller et al., 2017; Pacer, Williams, Chen, Lombrozo, and Griffiths, 2013; Sauro and Dumas, 2009; Shinsel et al., 2011; Teach and Shortliffe, 1981) Performance evaluation for AI systems is discussed in more detail on Section…”
- Response interpolation and scale sensitivity: evidence against 5-point scales (2010, background): “Sauro and Dumas (2009) noted the possibility for errors that might be introduced with a small number (five or seven) of discrete Likert responses, and noted that computerized sliding scales can allow for higher sensitivity.”
- UMUX-LITE: when there's no time for the SUS (2013, background): “…pool of 12 items, the final UMUX had four items that included a general question similar to the Single Ease Question (“This system is easy to use”) [11] and the best candidate item from each of the item sets associated with efficiency, effectiveness, and satisfaction, where “best” meant the item…”
- Mini-Me: An Adaptive Avatar for Mixed Reality Remote Collaboration (2018, methodology): “After each condition, participants answered a questionnaire based on Networked Mind Measure of Social Presence [17], and in terms of usability, Single Ease Question (SEQ) [41] and the Subjective Mental Effort Question (SMEQ) [51].”