Data for: Evaluating motivation attributes and interaction elements in user adoption of voice intelligent assistant

Artificial intelligence (AI) has come to human life in various forms. As
external activities decrease after COVID-19, people treat voice
intelligent assistant (VIA) as a friend or secretary. This study suggests
a conceptual model to identify the contributors to the continuance
intention of VIA users. Data is collected from 262 users who use VIAs in
their daily life for validating the model. The current research conducted
partial least square structural equation modeling to validate the proposed
model. The findings indicated that cabin fever syndrome significantly
affects both utilitarian motivation and hedonic motivation. Loneliness in
COVID-19 causes utilitarian motivation. The results verified that
utilitarian motivation is the determinant of perceived usefulness,
interaction, and voice attractiveness. The findings of the study figured
out that hedonic motivation has a significant influence on interaction,
parasocial interaction, and voice attractiveness. The analysis uncovered
that interaction impacts satisfaction and continuance intention. The
findings validated that voice attractiveness is significantly associated
with satisfaction. Satisfaction is the determinant of continuance
intention.