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About User Experience Evaluation Using Mouse Tracking and Artificial Intelligence
This document summarizes a research paper that developed a new tool called AIMT-UXT to evaluate user experience (UX) using mouse tracking and artificial intelligence. The tool was validated in a case study of the Brazilian Federal Revenue Service website. Key findings include: 1) AIMT-UXT used variables determined from mouse tracking data and a fuzzy inference system to infer UX scores without using questionnaires. 2) The results from AIMT-UXT were similar to UX scores reported by users in questionnaires, showing the tool could effectively measure UX. 3) A clustering algorithm was also applied to complement the UX analysis from mouse tracking data.
Detailed Information
| Author: | ['Joao Bernardes'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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