A Conceptual Framework for Applying Social Signal Processing to Neuro-Tourism

Evgenia Gkintoni (), Garefalea Kakoleres, Giorgos Telonis, Constantinos Halkiopoulos and Basilis Boutsinas
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Evgenia Gkintoni: University of Patras
Garefalea Kakoleres: University of Patras
Giorgos Telonis: University of Patras
Constantinos Halkiopoulos: University of Patras
Basilis Boutsinas: University of Patras

A chapter in Tourism, Travel, and Hospitality in a Smart and Sustainable World, 2023, pp 323-335 from Springer

Abstract: Abstract Social Signal Processing is a new research field aiming at providing computers with the ability to understand human social signals, i.e., (dis)agreement, amusement, etc. Social signals are manifested through an array of nonverbal behavioral cues, such as gestures, postures. Neuro-tourism is an idea that combines the fields of Neuroscience and Tourism. Neuroscience, marketing, and computing methods like as Electroencephalography (EEG), Analysis of Physiological Responses, Virtual and Augmented Reality, and Eye-tracking, among others, enable us to monitor tourists’ emotions, decision-making processes, and behavior. We claim that neuro-tourism in combination with Social Signal Processing Techniques, more efficiently explores the tourists’ behaviors/preferences when they are browsing webpages or even when they are traveling. In this paper, we propose a Conceptual Framework for applying Social Signal Processing to Neuro-Tourism. The proposed Conceptual Framework takes into consideration various application areas within Tourism field and constitutes a roadmap of analyzing/exploiting social signals produced during social interactions or human–computer interactions.

Keywords: Neuro-tourism; Social signal processing; Neuropsychology; Neuroscience; Tourism industry (search for similar items in EconPapers)
JEL-codes: C80 D91 I12 I31 O32 Z32 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-26829-8_20

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DOI: 10.1007/978-3-031-26829-8_20

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