Long-term relationships between users and smart voice assistants: the roles of experience and love

Hernández-Ortega, Blanca (Universidad de Zaragoza) ; Ferreira, Ivani ; Lapresta-Romero, Sara (Universidad de Zaragoza)

Resumen: Purpose: This study examines why long-term relationships between expert users and smart voice assistants (SVAs) develop. It postulates that the five dimensions of experience (i.e. sensory, affective, intellectual, behavioural and relational) generate feelings of love for SVAs. The formation of love is examined considering three components: passion, intimacy and commitment. These feelings encourage users to continue employing and to generate long-term relationships with SVAs.
Design/methodology/approach: Data from a survey of 403 USA expert users of SVAs provide the input for structural equation modelling.
Findings: The results show that three dimensions of experience influence users’ passion towards SVAs: affective, intellectual and behavioural. Moreover, passion can convert the effect of users’ experiences into intimacy and commitment. Finally, intimacy and commitment increase users’ intentions to continue using SVAs.
Originality/value: The findings obtained make three original contributions. First, this study is the first to analyse expert users of SVAs and the post-technology adoption stage. Therefore, it introduces a new case of relational marketing in smart technologies. Second, this study contributes by applying a new theoretical perspective that evaluates the importance of users’ experiences with SVAs. Third, it takes an interpersonal approach to explore user-SVA interactions, revealing that users can develop human-like love feelings for SVAs.

Idioma: Inglés

DOI: 10.1108/OIR-10-2022-0570

Año: 2024

Publicado en: Online Information Review
ISSN: 1468-4527

Factor impacto JCR: 3.5 (2024)

Categ. JCR: INFORMATION SCIENCE & LIBRARY SCIENCE rank: 31 / 166 = 0.187 (2024) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 97 / 258 = 0.376 (2024) - Q2 - T2

Factor impacto CITESCORE: 7.4 - Library and Information Sciences (Q1) - Computer Science Applications (Q1) - Information Systems (Q1)

Factor impacto SCIMAGO: 1.025 - Computer Science Applications (Q1) - Library and Information Sciences (Q1) - Information Systems (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/S54-GENERES Group
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2020-118425RB-I00

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Comerci.Investig.Mercados (Dpto. Direc.Mark.Inves.Mercad.)