Abstract
Associations between user characteristics and system features to technology adoption have been discussed in various domains. However, less is known about how different factors potentially affect the adoption of in-vehicle smart technologies. This study builds and tests a research model that describes the relationships of individual characteristics, preconceptions, and task performance and perceptions measured during a system experience to attitudes and expectations toward in-vehicle technologies. Based on empirical data from three research cases—voice-control interface, active parallel parking assist, and cross traffic alert—this study finds perceptions of a hands-on system experience to have strong associations with postexperience attitudes and expectations. Individual characteristics including age and health, general preconceptions, and task performance were found to have weaker relationships. Based on the findings, this article discusses implications for research in the emerging domain of smart technologies in automobiles, as well as for practice in design and delivery of in-vehicle technologies.
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