Social psychologists have long recognized that attitudes are formed through a combination of cognitive appraisals (i.e., evaluations based on beliefs) and affective appraisals (i.e., evaluations based on feelings, emotions, and gut reactions). However, the dominant perspective for explaining user attitudes toward information systems is still cognition-based. In this research, we study the cognitive and affective composition of user attitudes, and the way this composition is influenced by individual differences and system design differences. This research aims to make three contributions. First, we strengthen the current understanding of IS attitudes with new empirical findings on the relative role of affect and cognition. Second, we aim to demonstrate how the features of an information system evoke different compositions of affective and cognitive attitudes. Third, we expect to demonstrate how gender and experience influence cognitive-affective structures, even when controlling for system features.