Understanding modality in artificial intelligence is essential for grasping its varied applications and implications for human interaction. Modality encompasses dimensions like interactivity, adaptiveness, and explainability, each influencing user attitudes and adoption of AI systems. This chapter delves into how these facets shape attitudes towards AI, drawing from psychology frameworks to highlight the affective and cognitive components of user perceptions. Trust and acceptance emerge as critical factors intertwined with attitude, affecting intentions to use AI technologies. The chapter navigates through diverse modalities—from interactive versus non-interactive to personalized versus generalized—illuminating their nuanced impacts on user attitudes and societal acceptance of AI. Through this lens, it underscores the multidimensional nature of AI modality and its profound implications for fostering responsible AI deployment and enhancing user engagement.