TY - CHAP
T1 - Voice Assistants
T2 - 21st IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2022
AU - Farooq, Ali
AU - Jeske, Debora
AU - van Schaik, Paul
AU - Moran, Michael
N1 - © 2022 IFIP International Federation for Information Processing
Farooq, A., Jeske, D., van Schaik, P., Moran, M. (2022). Voice Assistants: (Physical) Device Use Perceptions, Acceptance, and Privacy Concerns. In: Papagiannidis, S., Alamanos, E., Gupta, S., Dwivedi, Y.K., Mäntymäki, M., Pappas, I.O. (eds) The Role of Digital Technologies in Shaping the Post-Pandemic World. I3E 2022. Lecture Notes in Computer Science, vol 13454. Springer, Cham. https://doi.org/10.1007/978-3-031-15342-6_37
PY - 2022/9/6
Y1 - 2022/9/6
N2 - 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 increasing significantly in both work and home locations. Users and non-users of voice assistants were recruited via an online survey in both 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 stronger 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 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 highlights the importance of context in the adoption, acceptance, and perceptions of both user groups.
AB - 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 increasing significantly in both work and home locations. Users and non-users of voice assistants were recruited via an online survey in both 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 stronger 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 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 highlights the importance of context in the adoption, acceptance, and perceptions of both user groups.
KW - voice assistants
KW - perceptions
KW - acceptance
KW - privacy concerns
KW - UTAUT2
KW - performance expectancy
KW - effort expectancy
KW - smart speakers
KW - behavioral intention
U2 - 10.1007/978-3-031-15342-6_37
DO - 10.1007/978-3-031-15342-6_37
M3 - Chapter
SN - 9783031153419
VL - 13454
T3 - Lecture Notes in Computer Science (LNCS)
SP - 485
EP - 498
BT - The Role of Digital Technologies in Shaping the Post-Pandemic World. I3E 2022
A2 - Papagiannidis, Savvas
A2 - Alamanos, Eleftherios
A2 - Gupta, Suraksha
A2 - Dwivedi, Yogesh K.
A2 - Mäntymäki, Matti
A2 - Pappas, Ilias O.
CY - Cham
Y2 - 13 September 2022 through 14 September 2022
ER -