List view
Extend transcription playback with full integration across backend, Firebase, and frontend. Add support for exporting data, managing multiple runs, and refining the playback experience.
Overdue by 4 month(s)•Due by October 6, 2025•2/2 issues closed- Overdue by 1 year(s)•Due by May 15, 2024•4/4 issues closed
The integration of AI in usability testing revolutionizes response analysis by: Automating Analysis: AI algorithms automate the analysis of user feedback, saving time and effort. Extracting Insights: Natural Language Processing (NLP) and sentiment analysis extract meaningful insights from user responses. Identifying Patterns: AI identifies recurring themes and sentiment patterns in user feedback, aiding in understanding user experiences. Facilitating Actionable Feedback: By categorizing feedback into topics, AI enables targeted interventions for usability improvements. Enhancing Efficiency: AI-driven analysis tools process large volumes of data quickly, allowing for frequent usability tests and rapid iteration. Personalization: AI adapts analysis methods to project-specific needs, providing tailored recommendations for design decisions. In summary, AI-powered analysis accelerates and enhances usability testing, enabling data-driven design decisions and improving user experiences.
Overdue by 1 year(s)•Due by June 10, 2024•8/8 issues closedImplement eye tracker in RUXAILAB testing, for best answer analysis.
Overdue by 1 year(s)•Due by April 10, 2024•8/8 issues closedCreation of interfaces for moderated testing from both the user and moderator sides, including: - Instructions. - Tasks. - Task Details. - Submissions. - Feedback.
Overdue by 1 year(s)•Due by April 15, 2024•4/4 issues closed