Data for: Evaluating motivation attributes and interaction elements in user adoption of voice intelligent assistant
Data files
May 29, 2023 version files 47.96 KB
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README.md
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VIA_Dataset(262)_230529.xlsx
Abstract
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.