Longitudinal Dataset of Psychological Variables Influencing AI Perception and Usage

Since the emergence of large language models (LLMs) in 2022, generative artificial intelligence (AI) has rapidly expanded into mainstream applications, leading, for example, to the integration of Apple Intelligence into customer devices in 2024. This integration into personal technology marks a significant shift and a further reduction in barriers to use, bringing advanced AI capabilities into everyday devices and making them accessible to private individuals. Thus, the use of generative AI along with interaction through LLM-powered (voice) assistants and engagement with AI-generated content is expected to increase significantly. However, data that link this usage to psychological variables and shed light on the underlying mechanisms of this use over time remain scarce. In this longitudinal study, data from a US-American sample was collected across six waves at two-month intervals between September 2024 and July 2025. It examines user behavior, attitudes, knowledge, and perceptions related to generative AI. Thus, this dataset allows for future research on psychological and behavioral dynamics of AI usage over time, offering insights into user engagement and the individual factors connected to it.