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...

Full description

Saved in:
Bibliographic Details
Main Author: Zammarchi, Gianpaolo (auth)
Other Authors: contu, giulia (auth), Frigau, Luca (auth)
Format: Electronic Book Chapter
Language:English
Published: Florence Firenze University Press 2021
Series:Proceedings e report
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000naaaa2200000uu 4500
001 doab_20_500_12854_83319
005 20220602
003 oapen
006 m o d
007 cr|mn|---annan
008 20220602s2021 xx |||||o ||| 0|eng d
020 |a 978-88-5518-304-8.28 
020 |a 9788855183048 
040 |a oapen  |c oapen 
024 7 |a 10.36253/978-88-5518-304-8.28  |c doi 
041 0 |a eng 
042 |a dc 
100 1 |a Zammarchi, Gianpaolo  |4 auth 
700 1 |a contu, giulia  |4 auth 
700 1 |a Frigau, Luca  |4 auth 
245 1 0 |a Chapter Using eye-tracking to evaluate the viewing behavior on tourist landscapes 
260 |a Florence  |b Firenze University Press  |c 2021 
300 |a 1 electronic resource (6 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Proceedings e report 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
653 |a Tourism 
653 |a Eye-tracking 
653 |a Fixations 
773 1 0 |7 nnaa 
856 4 0 |a www.oapen.org  |u https://library.oapen.org/bitstream/20.500.12657/56344/1/16996.pdf  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/83319  |7 0  |z DOAB: description of the publication