Chapter Using eye-tracking to evaluate the viewing behavior on tourist landscapes
Every tourist website employs images to attract potential tourists. In particular, destination tourism websites use environmental images, such as landscapes, to attract the attention of tourists and to address their purchase choice. Nowadays the effectiveness of these tools has been enhanced by the...
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| المؤلفون الرئيسيون: | , , |
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| التنسيق: | Online |
| اللغة: | الإنجليزية |
| منشور في: |
Firenze University Press
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20220601_9788855183048_529 |
| الوسوم: |
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| _version_ | 1869531539798228992 |
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| author | Zammarchi, Gianpaolo contu, giulia Frigau, Luca |
| author_browse | Frigau, Luca Zammarchi, Gianpaolo contu, giulia |
| author_facet | Zammarchi, Gianpaolo contu, giulia Frigau, Luca |
| author_sort | Zammarchi, Gianpaolo |
| collection | Directory of Open Access Books |
| description | Every tourist website employs images to attract potential tourists. In particular, destination tourism websites use environmental images, such as landscapes, to attract the attention of tourists and to address their purchase choice. Nowadays the effectiveness of these tools has been enhanced by the use of eye-tracking technology. That allows measuring the exact eye position during the visualization of images, texts, or other visual stimuli. Consequently, eye-tracking data can be processed to obtain quantitative measures of viewing behavior that can be analyzed for several purposes in many fields such as to cluster consumers, to improve the effectiveness of a website and for neuroscience studies. This work is aimed to use eye-tracking technology to investigate user behavior according to different types of images (e.g. natural landscapes, city landscapes). Specifically, we compare different statistical descriptive tools with supervised and unsupervised models. Furthermore, we discuss the effectiveness of their results and their capacity to provide satisfactory and interpretable solutions that can be used by decision-makers. |
| format | Online |
| id | doab-20.500.12854ir-83319 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-833192022-06-02T04:28:13Z Chapter Using eye-tracking to evaluate the viewing behavior on tourist landscapes Zammarchi, Gianpaolo contu, giulia Frigau, Luca Tourism Eye-tracking Fixations Every tourist website employs images to attract potential tourists. In particular, destination tourism websites use environmental images, such as landscapes, to attract the attention of tourists and to address their purchase choice. Nowadays the effectiveness of these tools has been enhanced by the use of eye-tracking technology. That allows measuring the exact eye position during the visualization of images, texts, or other visual stimuli. Consequently, eye-tracking data can be processed to obtain quantitative measures of viewing behavior that can be analyzed for several purposes in many fields such as to cluster consumers, to improve the effectiveness of a website and for neuroscience studies. This work is aimed to use eye-tracking technology to investigate user behavior according to different types of images (e.g. natural landscapes, city landscapes). Specifically, we compare different statistical descriptive tools with supervised and unsupervised models. Furthermore, we discuss the effectiveness of their results and their capacity to provide satisfactory and interpretable solutions that can be used by decision-makers. 2022-06-02T04:28:12Z 2022-06-02T04:28:12Z 2022-06-01T12:20:03Z 2021 chapter ONIX_20220601_9788855183048_529 2704-5846 https://library.oapen.org/handle/20.500.12657/56344 9788855183048 https://directory.doabooks.org/handle/20.500.12854/83319 eng Proceedings e report open access image/jpeg Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/56344/1/16996.pdf Firenze University Press 10.36253/978-88-5518-304-8.28 10.36253/978-88-5518-304-8.28 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9788855183048 6 Florence open access |
| spellingShingle | Tourism Eye-tracking Fixations Zammarchi, Gianpaolo contu, giulia Frigau, Luca Chapter Using eye-tracking to evaluate the viewing behavior on tourist landscapes |
| title | Chapter Using eye-tracking to evaluate the viewing behavior on tourist landscapes |
| title_full | Chapter Using eye-tracking to evaluate the viewing behavior on tourist landscapes |
| title_fullStr | Chapter Using eye-tracking to evaluate the viewing behavior on tourist landscapes |
| title_full_unstemmed | Chapter Using eye-tracking to evaluate the viewing behavior on tourist landscapes |
| title_short | Chapter Using eye-tracking to evaluate the viewing behavior on tourist landscapes |
| title_sort | chapter using eye tracking to evaluate the viewing behavior on tourist landscapes |
| topic | Tourism Eye-tracking Fixations |
| topic_facet | Tourism Eye-tracking Fixations |
| url | ONIX_20220601_9788855183048_529 |
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