Paper Info
Title
Uxmood-A Sentiment Analysis And Information Visualization Tool To Support The Evaluation Of Usability And User Experience
Abstract
This paper presents UXmood, a tool that provides quantitative and qualitative information to assist researchers and practitioners in the evaluation of user experience and usability. The tool uses and combines data from video, audio, interaction logs and eye trackers, presenting them in a configurable dashboard on the web. The UXmood works analogously to a media player, in which evaluators can review the entire user interaction process, fast-forwarding irrelevant sections and rewinding specific interactions to repeat them if necessary. Besides, sentiment analysis techniques are applied to video, audio and transcribed text content to obtain insights on the user experience of participants. The main motivations to develop UXmood are to support joint analysis of usability and user experience, to use sentiment analysis for supporting qualitative analysis, to synchronize different types of data in the same dashboard and to allow the analysis of user interactions from any device with a web browser. We conducted a user study to assess the data communication efficiency of the visualizations, which provided insights on how to improve the dashboard.
Year
DOI
Venue
2019
10.3390/info10120366
INFORMATION
Keywords
Field
DocType
user experience evaluation, multimodal sentiment analysis, information visualization, dashboard
BitTorrent tracker,User experience design,Information visualization,Sentiment analysis,Computer science,Usability,Data type,Human–computer interaction,Artificial intelligence,Dashboard (business),Machine learning,User experience evaluation
Journal
Volume
Issue
Citations 
10
12
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Roberto Yuri da Silva Franco100.34
Rodrigo Santos Do Amor Divino Lima203.38
Rafael do Monte Paixão300.34
Carlos Gustavo Resque dos Santos426.46
Bianchi Serique Meiguins55628.03