Enhancing UEQ Questionnaire Data Visualizations with AttrakDiff Visualization Techniques

 

保存先:
書誌詳細
著者: Gómez Segura, Carlos Adrián, López Herrera, Gustavo, Quesada, Luis
フォーマット: comunicación de congreso
出版日付:2023
その他の書誌記述:The research analyzes how applying AttrakDiff visualization techniques can improve User Experience Questionnaire (UEQ) data representations. Although the UEQ is a commonly used instrument for assessing user experience, the visualizations are can provide more insights. The study adapts AttrakDiff visualizations to UEQ and also proposes new visualizations. According to the study’s findings, participants responded favorably to AttrakDiff-like visualizations’ ability to accurately portray UEQ data. Participants in a sizable majority agreed that the AttrakDiff-like visualizations and proposed ones successfully captured user experience data. The results also showed that the new proposed visuals were simple to comprehend, and most participants praised their clarity.
国:Kérwá
機関:Universidad de Costa Rica
Repositorio:Kérwá
言語:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/104574
オンライン・アクセス:https://hdl.handle.net/10669/104574
キーワード:User Experience Questionnaire (UEQ)
Visualizations
AttrakDiff
User experi ence evaluation
Questionnaires
Evaluation methods
Data analysis
Human machine interaction