in-Car Entertainment via Group-wise Temporary Mobile Social Networking

Cimino, Mario G. C. A.; Tecco, Antonio Di; Foglia, Pierfrancesco; Giannessi, Raffaele; Malvatani, Jacopo; Prete, Cosimo Antonio; Rossolini, Giulio

doi:10.5220/0011096000003191

Cited by 4 publications

(2 citation statements)

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“…As a result of the theoretical construct analysis, the majority of the FER-related studies in the hospitality and tourism industry focused on experience and emotion. In addition, moods were taken as the basis for understanding human emotions and moods can influence the types of emotions experienced and how they are interpreted (Cimino et al, 2022;Erdal and Kındap Tepe, 2017). Therefore, the majority of the research has utilized consumer mood through the lenses of the FER to understand basic emotions.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Facial emotion recognition research in the hospitality and tourism industry: a thematic content analysis

Kement,

Cavusoglu,

Başar

et al. 2024

WHATT

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PurposeThe purpose of this study is to conduct a thematic content analysis of facial emotion recognition (FER) research within the context of the hospitality and tourism industry. Through this analysis, the study aims to identify key themes, trends and implications of the utilization of FER technology in enhancing customer emotions and experiences within hospitality and tourism settings.Design/methodology/approachThis is qualitative research that utilizes thematic content analysis. The research data were obtained from the Scopus database. A total of 45 articles (titles, abstracts and keywords) were coded into MAXQDA and VOSWiever programs for data analyses and mapping.FindingsBased on the analyses, the predominant term used in titles was emotion, indicating its centrality in the research domain. Moreover, the most prevalent concepts in this field were emotion and experience. Notably, facial emotion recognition emerged as the most frequently utilized term within this context. Within the hospitality and tourism industry, FER was primarily employed within the travel sub-branch. Finally, the research culminated in the visualization of the theoretical framework and conceptual background, offering a comprehensive overview of the field.Originality/valueThere is a growing demand for using FER technology specifically within the hospitality and tourism industry context; therefore, growing scientific research has been conducted on this topic recently. By conducting a thematic content analysis, this study uncovered novel insights into the utilization of this technology to enhance customer emotions and experiences, thereby contributing to a deeper understanding of its potential implications and applications within the hospitality and tourism industry.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Facial emotion recognition research in the hospitality and tourism industry: a thematic content analysis

Kement,

Cavusoglu,

Başar

et al. 2024

WHATT

View full text Add to dashboard Cite

show abstract

“…Integrating brought-in devices within automobiles, and connecting and syncing information, has upgraded the in-car entertainment experience [37,38]. Today, the paradigm shift through automation in car systems enables non-driving related tasks with relevant entertainment systems such as immersive media, games, comprehensive video streaming platforms, social networking and AR/VR or mixed reality interactions [39,40,41,42,43].…”

Section: In-car Entertainmentmentioning

confidence: 99%