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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Oliveira, P. M., Guerreiro, J. & Rita, P. (2022). What if we took a holiday? Enriching Advertising with Intelligent Voice Assistants. AIRSI 2022 - Technologies 4.0 in Tourism, Services & Marketing.
Exportar Referência (IEEE) 
P. M. Oliveira et al.,  "What if we took a holiday? Enriching Advertising with Intelligent Voice Assistants", in AIRSI 2022 - Technologies 4.0 in Tourism, Services & Marketing, Zaragoza, 2022
Exportar BibTeX 
@misc{oliveira2022_1732203345806,
	author = "Oliveira, P. M. and Guerreiro, J. and Rita, P.",
	title = "What if we took a holiday? Enriching Advertising with Intelligent Voice Assistants",
	year = "2022",
	howpublished = "Digital",
	url = "http://airsi2022.unizar.es/program/"
}
Exportar RIS 
TY  - CPAPER
TI  - What if we took a holiday? Enriching Advertising with Intelligent Voice Assistants
T2  - AIRSI 2022 - Technologies 4.0 in Tourism, Services & Marketing
AU  - Oliveira, P. M.
AU  - Guerreiro, J.
AU  - Rita, P.
PY  - 2022
CY  - Zaragoza
UR  - http://airsi2022.unizar.es/program/
AB  - The Intelligent Voice Assistants (VAs) are the most prominent technology and a fast-evolving disruption on human-computer interaction (Moriuchi, 2019). This technology has become of paramount importance on smart devices and is exponentially rising worldwide with over 8.4 billion VAs expected in 2024 (Laricchia, 2022). Given the spreading technological development, VAs will certainly play a major role for marketers on brands’ communication strategies, advertising effectiveness and purchase intentions. However, how will advertising value be influenced by AI attributes? For this study, a total of 142 Amazon Mechanical Turk (MTurk) VA users volunteered for survey in exchange for a monetary compensation. All constructs’ measurement scales were adapted from previous research and the hypotheses were tested using Partial Least Squares Structural Equation Modeling (PLS-SEM) on SmartPLS 3 (Hair et al., 2010). This study intends to develop a framework to better understand the perceived value of advertising through intelligent VAs, and how the human voice as the anthropomorphic cue is reflected on AI attributes, and how their relationship with advertising value is mediated by parasocial relationship.

ER  -