Eye tracking and tourism research: A systematic literature review

Savin, Georgiana-Denisse; Fleșeriu, Cristina; Bătrâncea, Larissa

doi:10.1177/13567667211053387

Cited by 21 publications

(10 citation statements)

References 80 publications

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“…For systematic reviews , Scott et al [ 13 ], Atabay and Güzeller [ 14 ], and Savin et al [ 8 ] assessed the application of ET in tourism research. Meanwhile, Li et al [ 15 ] investigated the use of EEG in tourism and hospitality studies.…”

Section: Resultsmentioning

confidence: 99%

“…Each neuromarketing technique gathers different neural activity measurements. For example, fMRI assesses metabolic brain processes through variations in blood flow, while EEG records electrical changes in brain signals on the scalp [ 7 ]; ET measures eye attention toward a stimulus [ 8 ]; galvanic skin response gauges electrodermal activities through sweat production [ 9 ]; FAC measures feelings as expressions appear on the face; and HT counts the number of heartbeats in a time and can be used to determine stress [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

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Systematic Review and Future Direction of Neuro-Tourism Research

2023

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Neuro-tourism is the application of neuroscience in tourism to improve marketing methods of the tourism industry by analyzing the brain activities of tourists. Neuro-tourism provides accurate real-time data on tourists’ conscious and unconscious emotions. Neuro-tourism uses the methods of neuromarketing such as brain–computer interface (BCI), eye-tracking, galvanic skin response, etc., to create tourism goods and services to improve tourist experience and satisfaction. Due to the novelty of neuro-tourism and the dearth of studies on this subject, this study offered a comprehensive analysis of the peer-reviewed journal publications in neuro-tourism research for the previous 12 years to detect trends in this field and provide insights for academics. We reviewed 52 articles indexed in the Web of Science (WoS) core collection database and examined them using our suggested classification schema. The results reveal a large growth in the number of published articles on neuro-tourism, demonstrating a rise in the relevance of this field. Additionally, the findings indicated a lack of integrating artificial intelligence techniques in neuro-tourism studies. We believe that the advancements in technology and research collaboration will facilitate exponential growth in this field.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Systematic Review and Future Direction of Neuro-Tourism Research

2023

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“…The final round aimed to 100% consensus, striving to resolve all discrepancies through comprehensive discussions. As previous research (Cruz-Suárez et al, 2020; Díez-Martín et al, 2023; Savin et al, 2022), we have analysed the common links between the papers of each cluster to distil their key aspects and enhance the robustness of the cluster labelling process. This procedure made it possible to summarise the essence of each research cluster.…”

Section: Methodsmentioning

confidence: 99%

The intellectual structure of destination image research in tourism (2001–2023): Background, pre-pandemic overview, shifts during COVID-19 and implications for the future

Torres-Pruñonosa,

Batlle,

De Esteban Curiel

et al. 2023

Journal of Vacation Marketing

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We aim to map the intellectual structure of destination image (DI) research and its theoretical development in two longitudinal periods: firstly, from 2001 and before the outbreak of Covid-19 and approval of vaccines (2001–2020); and secondly, during Covid-19 (2021–2023). This is the first article to use co-citation analysis that focuses solely on DI, identifying the main clusters, intellectual turning points, and citation burst papers in this field. Studying bibliometrics pre- and during Covid-19 can help to understand the impact of the pandemic on research output and the shift in research focus. This methodology expands tourism science by recognising the intrinsic nature of DI from an evaluative and relational point of view. Co-citation refers to the cited not the citing papers. The results in the first period show: 1) theoretical background on DI associated with branding from Destination Management Organisations (DMO); 2) the components of DI and their relationship with visitor behaviour; 3) how the Internet and User-Generated Content (UGC) have become the main sources to perceive DI. Whereas, in the second period, two main shifts have been identified: 1) the impact of the pandemic on tourism and perceived travel risk; 2) the emergence of a new approach focusing on the engagement of people with the destination through life experiences. The conclusions could help suppliers, DMOs, and policymakers to understand the components of DI before and during the pandemic, as well as provide valuable insights for the tourism industry to adapt to the new normal.

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“…Tourists’ perception of the tourism website is related to its visual appearance (Savin et al, 2022); the layout, pictures, and overall design of a website or app are all examples (Perez-Vega et al, 2018). Wobbrock et al (2021) demonstrated that visual appearance can affect online news credibility judgments.…”

Section: Conceptual Framework and Hypotheses Developmentmentioning

confidence: 99%

Personalized Tourism Recommendations and the E-Tourism User Experience

Yang

Zhang

Zhou

2023

Journal of Travel Research

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Previous research indicates that personalized tourism recommendation (PTR) is becoming increasingly important in tourism marketing. However, many areas of PTR remain unexplored. This study is based on Stimulus-Organism-Response theory; integrated constructs from PTR, big data, and artificial intelligence; and the technology acceptance model. The quantitative approach was conducted through an online survey from 496 users of Ctrip. PLS-SEM was used to test the collected data. Three factors were found to stimulate consumers’ perceptions of PTR: perceived personalization, visual appearance, and information quality. Consumers’ reactions to PTR can be divided into an internal processing organism, which includes the perception of the technology as “technology trust” and the perception of the recommended content as “PTR attitude.” This study contributes to the literature on smart tourism and marketing by developing and empirically testing an integrated model and providing a guide to determine users’ trust and attitudes toward PTR or other personalized e-services.

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Eye tracking and tourism research: A systematic literature review

Cited by 21 publications

References 80 publications

Systematic Review and Future Direction of Neuro-Tourism Research

Systematic Review and Future Direction of Neuro-Tourism Research

The intellectual structure of destination image research in tourism (2001–2023): Background, pre-pandemic overview, shifts during COVID-19 and implications for the future

Personalized Tourism Recommendations and the E-Tourism User Experience

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