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Angelica Lermann Henestrosa
2025-12-02 16:55:24 +01:00
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@@ -7,24 +7,12 @@ conducted at the Leibniz-Institut für Wissensmedien (IWM), Tübingen.
## Abstract
Since the emergence of large language models (LLMs) in 2022, generative AI has
rapidly expanded into mainstream applications, leading to the integration of
Apple Intelligence into customer devices in 2024. This integration into personal
technology marks a significant shift, bringing advanced AI capabilities into
everyday devices and making them accessible to private individuals. Thus, the
use of generative AI--consciously or unconsciously--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 track it over
time remain scarce. This longitudinal study comprises the data from an American
sample 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.
This dataset allows for future research on psychological and behavioral dynamics
of AI use over time, offering insights into user engagement and the individual
factors connected to it.
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--consciously or unconsciously--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 track it over time remain scarce.
This longitudinal study comprises the data from an US-American sample 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 data set allows for future research on psychological and behavioral dynamics of AI use over time, offering insights into user engagement and the individual factors connected to it.
## Project status