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...
Saved in:
Main Authors: | Fernandez, Ryan Austin, Deja, Jordan Aiko, Samson, Briane Paul V. |
---|---|
Format: | text |
Published: |
Animo Repository
2018
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/3023 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
Automating heuristic evaluation of website interfaces using convolutional neural networks
by: Fernandez, Ryan Austin
Published: (2019) -
On building an emotion-based music composition companion
by: Deja, Jordan Aiko, et al.
Published: (2018) -
Applying user-centered techniques in the design of a usable mobile musical composition tool
by: Chan, Kevin Gray, et al.
Published: (2019) -
Automated tobacco grading using image processing techniques and a convolutional neural network
by: Marzan, Charlie S., et al.
Published: (2019) -
A research through design (RTD) approach in the design of a 360-video platform interface
by: Poblete, Brian Michael, et al.
Published: (2019)