A Review of Eye-tracking Technology Application in Tourism Research

Lin Ma () and Xiaohua Wang ()
Additional contact information
Lin Ma: Xi’an International Studies University, School of Tourism & Research Institute of Human Geography
Xiaohua Wang: Xi’an International Studies University, School of Tourism & Research Institute of Human Geography

A chapter in Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023), 2024, pp 838-846 from Springer

Abstract: Abstract To avoid information overload, the human brain selects the information it notices, making selective attention a scarce resource. Most topics in tourism research have centred around tourist attention due to the focus on tourists. However, the measurement of attention has been carried out by questionnaires and interviews, which are subjective methods that may be influenced by factors such as social expectations and personal values to make the experiment fall into error. Since 80-90% of the information in the human brain originates from the visual system, measuring visual attention can reflect human attention. Eye-tracking technology based on that principle can measure human attention very well. This paper focuses on the following three topics: (1) Introduction of eye-tracking technology; (2) Summary of the research content in different tourism fields; (3) Conclusion of the shortcomings and future enhancement approaches. Based on those, this article makes several contributions. By analysing the application of eye-tracking technology in tourism research, the paper will provide new research methods and research ideas for later studies and help the development of the tourism discipline.

Keywords: review; tourism; eye-tracking technology; eye movement (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-368-9_98

Ordering information: This item can be ordered from
http://www.springer.com/9789464633689

DOI: 10.2991/978-94-6463-368-9_98

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().