Automating heuristic evaluation of websites using convolutional neural networks
College
College of Computer Studies
Department/Unit
Software Technology
Document Type
Conference Proceeding
Source Title
Conference on Human Factors in Computing Systems - Proceedings
First Page
9
Last Page
12
Publication Date
4-21-2018
Abstract
Heuristic evaluation is determining the usability of a user interface using predetermined heuristics. This task relies on heavy pattern recognition and experience which makes it suitable for deep learning techniques. A computational model is proposed which uses convolutional neural networks to automate heuristic evaluation. © 2018 Copyright is held by the owner/author(s).
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Digitial Object Identifier (DOI)
10.1145/3205851.3205854
Recommended Citation
Fernandez, R., Deja, J., & Samson, B. V. (2018). Automating heuristic evaluation of websites using convolutional neural networks. Conference on Human Factors in Computing Systems - Proceedings, 9-12. https://doi.org/10.1145/3205851.3205854
Disciplines
Computer Sciences
Keywords
User interfaces (Computer systems); Neural networks (Computer science); Human-computer interaction
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