A usability-evaluation metric based on a soft-computing approach
Usability of software should measure both the user preference and user performance. The notion of usability involves several dimensions. These dimensions include: system feedback, consistency, error prevention, performance/efficiency, user like/dislike, and error recovery. Each of these dimensions i...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
IEEE Computer Society
2006
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| Online Access: | http://hdl.handle.net/20.500.11937/44707 |
| _version_ | 1848757079298277376 |
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| author | Chang, Elizabeth Dillon, Tharam S. |
| author_facet | Chang, Elizabeth Dillon, Tharam S. |
| author_sort | Chang, Elizabeth |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Usability of software should measure both the user preference and user performance. The notion of usability involves several dimensions. These dimensions include: system feedback, consistency, error prevention, performance/efficiency, user like/dislike, and error recovery. Each of these dimensions is characterized by fuzzy aspects and linguistic terms. This paper develops a model for each of the dimensions using fuzzy-set theory. It then uses the Takagi-Sugeno fuzzy-inference approach for developing an overall measure of usability. Results are presented for several different user interfaces. |
| first_indexed | 2025-11-14T09:22:23Z |
| format | Journal Article |
| id | curtin-20.500.11937-44707 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:22:23Z |
| publishDate | 2006 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-447072017-02-27T15:15:03Z A usability-evaluation metric based on a soft-computing approach Chang, Elizabeth Dillon, Tharam S. usability fuzzy systems user interfaces Usability of software should measure both the user preference and user performance. The notion of usability involves several dimensions. These dimensions include: system feedback, consistency, error prevention, performance/efficiency, user like/dislike, and error recovery. Each of these dimensions is characterized by fuzzy aspects and linguistic terms. This paper develops a model for each of the dimensions using fuzzy-set theory. It then uses the Takagi-Sugeno fuzzy-inference approach for developing an overall measure of usability. Results are presented for several different user interfaces. 2006 Journal Article http://hdl.handle.net/20.500.11937/44707 IEEE Computer Society fulltext |
| spellingShingle | usability fuzzy systems user interfaces Chang, Elizabeth Dillon, Tharam S. A usability-evaluation metric based on a soft-computing approach |
| title | A usability-evaluation metric based on a soft-computing approach |
| title_full | A usability-evaluation metric based on a soft-computing approach |
| title_fullStr | A usability-evaluation metric based on a soft-computing approach |
| title_full_unstemmed | A usability-evaluation metric based on a soft-computing approach |
| title_short | A usability-evaluation metric based on a soft-computing approach |
| title_sort | usability-evaluation metric based on a soft-computing approach |
| topic | usability fuzzy systems user interfaces |
| url | http://hdl.handle.net/20.500.11937/44707 |