A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Voice Assistants: (Physical) Device Use Perceptions, Acceptance, and Privacy Concerns
Tekijät: Farooq Ali, Jeske Debora, van Schaik Paul, Moran Michael
Toimittaja: Savvas Papagiannidis, Eleftherios Alamanos, Suraksha Gupta, Yogesh K. Dwivedi, Matti Mäntymäki, Ilias O. Pappas
Konferenssin vakiintunut nimi: Conference on e-Business, e-Services and e-Society
Kustannuspaikka: Cham
Julkaisuvuosi: 2022
Journal: Lecture Notes in Computer Science
Kokoomateoksen nimi: The Role of Digital Technologies in Shaping the Post-Pandemic World: 21st IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2022, Newcastle upon Tyne, UK, September 13–14, 2022, Proceedings
Sarjan nimi: Lecture Notes in Computer Science
Vuosikerta: 13454
Aloitussivu: 485
Lopetussivu: 498
ISBN: 978-3-031-15341-9
eISBN: 978-3-031-15342-6
ISSN: 0302-9743
DOI: https://doi.org/10.1007/978-3-031-15342-6_37
Verkko-osoite: https://link.springer.com/chapter/10.1007/978-3-031-15342-6_37
Using UTAUT2 model and privacy concerns, the study identifies the factors that predict users’ and non-users’ behavioral intention to continue or start using physical voice assistant devices in the future as their prominence is increasAQ1 ing significantly in both work and home locations. Users and non-users of voice
assistants were recruited via an online survey in Ireland and Finland. The final sample (N = 119) included 54 users and 65 non-users of voice assistants. Group differences and predictive effects were investigated using independent samples t-tests, analysis of covariance, and multiple regression. Users differed significantly from non-users on a number of UTAUT2 model variables such as effort expectancy, social influence, facilitating conditions, hedonic motivation, private value, and privacy concern. Users’ behavioral intention to continue using voice assistants was more pronounced than non-users’ behavioral intention to start using such voice assistants. Multiple regression results show that, for non-users, both effort expectancy and privacy concerns appear to impact their intention to adopt voice assistants – in contrast to participants who are already users. However, social influence, facilitating conditions, price value, effort, and performance expectancy were not significant predictors of behavioral intention. The findings suggest that
the continued or future use of voice assistants can be predicted by assessing both users’ and non-users’ expectations regarding the degree to which they are or expect to become habituated to the use of voice assistants and the enjoyment and value derived from these devices. The findings add to the emerging evidence-base about users’ and non-users’ perceptions, acceptance, and concerns regarding using voice
assistants and highlight the importance of context in the adoption, acceptance, and perceptions of both user groups