Extracting usability information from user interface events
By D. Hilbert, David F. Redmiles. CSUR, 2000
534 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Systems, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/be6a11284b9941cf2fd1ca7896938524ae693ff3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Thomas G. Dietterich
- Luc Van Gool
- Michael S. Bernstein
- Trevor Darrell
- Andrew Burton-Jones
- Detmar W. Straub Jr.
- Jonathan L. Herlocker
- Dacheng Tao
In Information Systems
- Michael S. Bernstein
- Andrew Burton-Jones
- Daniel MacDougall
- Thomas G. Dietterich
- Joel Brandt
- Detmar W. Straub Jr.
- Scott R. Klemmer
- Matthew R. McLaughlin
In Human-Computer Interaction
- Andrew Burton-Jones
- Michael S. Bernstein
- Detmar W. Straub Jr.
- Bjoern Hartmann
- Camille Grange
- Anders Drachen
Citations in the corpus
- Tracking real-time user experience (TRUE): a comprehensive instrumentation solution for complex systems (2008, background): “Indeed, extracting usability information from today’s applications often requires sophisticated software built specifically for that purpose [6].”
- What would other programmers do: suggesting solutions to error messages (2010, background): “Hilbert and Redmiles [15] published a survey of event trace recording methods to derive application usability data.”
- Reflective physical prototyping through integrated design, test, and analysis (2006, background): “Hilbert and Redmiles presented a comparative survey of such systems [18].”
- Reconceptualizing System Usage: An Approach and Empirical Test (2006, methodology): “For example, it suggests that the two-step approach could be used to help researchers select methods for collecting usage data because objective measures may be more able to measure the system and task aspects of usage, but self-report questionnaires may be more able to measure user states such as c”
- TaskTracer: a desktop environment to support multi-tasking knowledge workers (2005, background): “The dilemma associated with this approach is that collecting the system events for activity records at the very fine level of granularity (which is desired) may create overhead and huge amounts of data that may be challenging to draw inferences from [13], or may not be useful at all in some tasks.”
- Empirical Studies in Information Visualization: Seven Scenarios (2012, unknown): “, to understand user behaviour, performance, thoughts, and experience) Hilbert and Redmiles [34]”
- From Use to Effective Use: A Representation Theory Perspective (2013, background): “More complex measures could include ratings of the extent to which a user’s navigation path to a webpage or system feature approaches the quickest path that can be taken to that page or feature (see, e.g., Hilbert and Redmiles 2000)”