Usability engineering methods for software developers
By Andreas Holzinger. CACM, 2005
961 citations recorded by the source corpus.
Subfields: Information Systems, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/27f7e2a7fd1d11b8238a249022bb8d3cac7bf808
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
In Human-Computer Interaction
- Heimo Müller
- Kurt Zatloukal
- Bernd Malle
- Anna Saranti
- Bastian Pfeifer
- Robert Reihs
- Andreas Holzinger
- Tovi Grossman
Citations in the corpus
- Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI (2021, background): “That means the measurable extent to which an (xAI) explanation to a (human) user achieves a specified level of causal understanding , measured with effectiveness, efficiency and satisfaction in a specified context of use — similar as usability [15].”
- Analysis of biomedical data with multilevel glyphs (2014, background): “Actually, this leads to semiotics - and we view informatics as semiotics engineering [6], because it is interesting to observe that the three main goals of informatics (correctness of algorithms, efficiency of programs, and usability of software systems) turn out to be nicely related to the three se”
- A survey of software learnability: metrics, methodologies and guidelines (2009, background): “Alternatively, Holzinger defines learnability as “allowing users to rapidly begin to work with the system” [18].”