Less users more confidence: How AOIs don’t affect scanpath trend analysis
User studies are typically difficult, recruiting enough users is often problematic and each experiment takes a considerable amount of time to be completed. In these studies, eye tracking is increasingly used which often increases time, therefore, the lower the number of users required for these stud...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-11-01
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| Series: | Journal of Eye Movement Research |
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| Online Access: | https://bop.unibe.ch/JEMR/article/view/3882 |
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| author | Sukru Eraslan Yeliz Yesilada Simon Harper |
| author_facet | Sukru Eraslan Yeliz Yesilada Simon Harper |
| author_sort | Sukru Eraslan |
| collection | DOAJ |
| description | User studies are typically difficult, recruiting enough users is often problematic and each experiment takes a considerable amount of time to be completed. In these studies, eye tracking is increasingly used which often increases time, therefore, the lower the number of users required for these studies the better for making these kinds of studies more practical in terms of economics and time expended. The possibility of achieving almost the same results with fewer users has already been raised. Specifically, the possibility of achieving 75% similarity to the results of 65 users with 27 users for searching tasks and 34 users for browsing tasks has been observed in scanpath trend analysis which discovers the most commonly followed path on a particular web page in terms of its visual elements or areas of interest (AOIs). Different approaches are available to segment or divide web pages into their visual elements or AOIs. In this paper, we investigate whether the possibility raised by the previous work is restricted to a particular page segmentation approach by replicating the experiments with two other segmentation approaches. The results are consistent with ~5% difference for the searching tasks and ~10% difference for the browsing tasks. |
| format | Article |
| id | doaj-art-f720fc2e4fa54091a5282964fc60410b |
| institution | DOAJ |
| issn | 1995-8692 |
| language | English |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Eye Movement Research |
| spelling | doaj-art-f720fc2e4fa54091a5282964fc60410b2025-08-20T03:06:35ZengMDPI AGJournal of Eye Movement Research1995-86922017-11-0110410.16910/jemr.10.4.6Less users more confidence: How AOIs don’t affect scanpath trend analysisSukru Eraslan0Yeliz Yesilada1Simon Harper2Computer Engineering Program, Middle East Technical University Northern Cyprus CampusComputer Engineering Program, Middle East Technical University Northern Cyprus CampusSchool of Computer Science, University of Manchester, United KingdomUser studies are typically difficult, recruiting enough users is often problematic and each experiment takes a considerable amount of time to be completed. In these studies, eye tracking is increasingly used which often increases time, therefore, the lower the number of users required for these studies the better for making these kinds of studies more practical in terms of economics and time expended. The possibility of achieving almost the same results with fewer users has already been raised. Specifically, the possibility of achieving 75% similarity to the results of 65 users with 27 users for searching tasks and 34 users for browsing tasks has been observed in scanpath trend analysis which discovers the most commonly followed path on a particular web page in terms of its visual elements or areas of interest (AOIs). Different approaches are available to segment or divide web pages into their visual elements or AOIs. In this paper, we investigate whether the possibility raised by the previous work is restricted to a particular page segmentation approach by replicating the experiments with two other segmentation approaches. The results are consistent with ~5% difference for the searching tasks and ~10% difference for the browsing tasks.https://bop.unibe.ch/JEMR/article/view/3882eye trackingscanpathusabilitysample sizeregion of interestareas of interest |
| spellingShingle | Sukru Eraslan Yeliz Yesilada Simon Harper Less users more confidence: How AOIs don’t affect scanpath trend analysis Journal of Eye Movement Research eye tracking scanpath usability sample size region of interest areas of interest |
| title | Less users more confidence: How AOIs don’t affect scanpath trend analysis |
| title_full | Less users more confidence: How AOIs don’t affect scanpath trend analysis |
| title_fullStr | Less users more confidence: How AOIs don’t affect scanpath trend analysis |
| title_full_unstemmed | Less users more confidence: How AOIs don’t affect scanpath trend analysis |
| title_short | Less users more confidence: How AOIs don’t affect scanpath trend analysis |
| title_sort | less users more confidence how aois don t affect scanpath trend analysis |
| topic | eye tracking scanpath usability sample size region of interest areas of interest |
| url | https://bop.unibe.ch/JEMR/article/view/3882 |
| work_keys_str_mv | AT sukrueraslan lessusersmoreconfidencehowaoisdontaffectscanpathtrendanalysis AT yelizyesilada lessusersmoreconfidencehowaoisdontaffectscanpathtrendanalysis AT simonharper lessusersmoreconfidencehowaoisdontaffectscanpathtrendanalysis |