Automating heuristic evaluation of websites using convolutional neural networks

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 autom...

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Main Authors:	Fernandez, Ryan Austin, Deja, Jordan Aiko, Samson, Briane Paul V.
Format:	text
Published:	Animo Repository 2018
Subjects:	User interfaces (Computer systems) Neural networks (Computer science) Human-computer interaction Computer Sciences
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/3023
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-4022
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-40222021-11-19T08:39:43Z Automating heuristic evaluation of websites using convolutional neural networks Fernandez, Ryan Austin Deja, Jordan Aiko Samson, Briane Paul V. 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). 2018-04-21T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3023 info:doi/10.1145/3205851.3205854 Faculty Research Work Animo Repository User interfaces (Computer systems) Neural networks (Computer science) Human-computer interaction Computer Sciences
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	User interfaces (Computer systems) Neural networks (Computer science) Human-computer interaction Computer Sciences
spellingShingle	User interfaces (Computer systems) Neural networks (Computer science) Human-computer interaction Computer Sciences Fernandez, Ryan Austin Deja, Jordan Aiko Samson, Briane Paul V. Automating heuristic evaluation of websites using convolutional neural networks
description	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).
format	text
author	Fernandez, Ryan Austin Deja, Jordan Aiko Samson, Briane Paul V.
author_facet	Fernandez, Ryan Austin Deja, Jordan Aiko Samson, Briane Paul V.
author_sort	Fernandez, Ryan Austin
title	Automating heuristic evaluation of websites using convolutional neural networks
title_short	Automating heuristic evaluation of websites using convolutional neural networks
title_full	Automating heuristic evaluation of websites using convolutional neural networks
title_fullStr	Automating heuristic evaluation of websites using convolutional neural networks
title_full_unstemmed	Automating heuristic evaluation of websites using convolutional neural networks
title_sort	automating heuristic evaluation of websites using convolutional neural networks
publisher	Animo Repository
publishDate	2018
url	https://animorepository.dlsu.edu.ph/faculty_research/3023
_version_	1797546081416904704

Automating heuristic evaluation of websites using convolutional neural networks

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