engleski

User Individual Differences in Intelligent Interaction: Do They Matter?

Designing an intelligent system, as confirmed by research, must address relevant individual characteristics of users. This paper offers a brief review of individual differences literature in the HCI field in general and e-learning area in particular. Research suggests that using adaptive e-learning systems may improve user learning performance and increase her/his learning outcome. An empirical study presented in this paper encompasses a comprehensive user analysis regarding a web-based learning application. Statistically significant correlations were found between user intelligence, experience and motivation for e-learning with her/his learning outcome accomplished in an e-learning session. These results contribute to the knowledge base of user individual differences and will be considered in an estimation of possible benefits from enabling the system adaptivity.

individual differences; user analysis; adaptive systems; e-learning; empirical study

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