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dc.contributor.author | Moghaddasi, Masoud | es_ES |
dc.contributor.author | Marín-Morales, Javier | es_ES |
dc.contributor.author | Khatri, Jakishan | es_ES |
dc.contributor.author | Guixeres Provinciale, Jaime | es_ES |
dc.contributor.author | CHICCHI-GIGLIOLI, IRENE ALICE | es_ES |
dc.contributor.author | Alcañiz Raya, Mariano Luis | es_ES |
dc.date.accessioned | 2022-02-16T19:03:39Z | |
dc.date.available | 2022-02-16T19:03:39Z | |
dc.date.issued | 2021-05 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/180900 | |
dc.description.abstract | [EN] Virtual reality (VR) in retailing (V-commerce) has been proven to enhance the consumer experience. Thus, this technology is beneficial to study behavioral patterns by offering the opportunity to infer customers' personality traits based on their behavior. This study aims to recognize impulsivity using behavioral patterns. For this goal, 60 subjects performed three tasks-one exploration task and two planned tasks-in a virtual market. Four noninvasive signals (eye-tracking, navigation, posture, and interactions), which are available in commercial VR devices, were recorded, and a set of features were extracted and categorized into zonal, general, kinematic, temporal, and spatial types. They were input into a support vector machine classifier to recognize the impulsivity of the subjects based on the I-8 questionnaire, achieving an accuracy of 87%. The results suggest that, while the exploration task can reveal general impulsivity, other subscales such as perseverance and sensation-seeking are more related to planned tasks. The results also show that posture and interaction are the most informative signals. Our findings validate the recognition of customer impulsivity using sensors incorporated into commercial VR devices. Such information can provide a personalized shopping experience in future virtual shops | es_ES |
dc.description.sponsorship | This research was supported by "The European Commission (Project RHUMBO H2020-MSCA-ITN-2018-813234)", "The Generalitat Valenciana funded project Rebrand with grant number PROMETEU/2019/105", and "The European Regional Development Fund program of the Valencian Community 2014-2020 project Interfaces de realidad mixta aplicada a salud y toma de decisiones with grant number IDIFEDER/2018/029" | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Applied Sciences | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Virtual reality | es_ES |
dc.subject | Machine learning | es_ES |
dc.subject | Signal processing | es_ES |
dc.subject | Consumer behavior | es_ES |
dc.subject | V-commerce | es_ES |
dc.subject.classification | EXPRESION GRAFICA EN LA INGENIERIA | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Recognition of Customers' Impulsivity from Behavioral Patterns in Virtual Reality | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/app11104399 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/813234/EU/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EDUC.INVEST.CULT.DEP//IDIFEDER%2F2018%2F029//LENI INFRAESTRUCTURAS GVA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2019%2F105//REBRAND (MIXED REALITY AND BRAIN DECISION)/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica | es_ES |
dc.description.bibliographicCitation | Moghaddasi, M.; Marín-Morales, J.; Khatri, J.; Guixeres Provinciale, J.; Chicchi-Giglioli, IA.; Alcañiz Raya, ML. (2021). Recognition of Customers' Impulsivity from Behavioral Patterns in Virtual Reality. Applied Sciences. 11(10):1-18. https://doi.org/10.3390/app11104399 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/app11104399 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 18 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 11 | es_ES |
dc.description.issue | 10 | es_ES |
dc.identifier.eissn | 2076-3417 | es_ES |
dc.relation.pasarela | S\437664 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | COMISION DE LAS COMUNIDADES EUROPEA | es_ES |