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01_project_management/workpackages/workpackages.md
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@ -10,19 +10,21 @@ WP1 Teresa/Nico/Vanessa/Angelica https://osf.io/58tqc
WP2 Teresa WP2 Teresa
WP3 Sonja https://aspredicted.org/4g3d-rqkt.pdf WP3 Sonja https://aspredicted.org/4g3d-rqkt.pdf --> This WP examines whether the perception of communicative AI as tool vs. social actor and the modality via which it is used (text, voice, both) are related to cognitive self-esteem.
WP4 Büsra https://aspredicted.org/m6zv9.pdf WP4 Büsra https://aspredicted.org/m6zv9.pdf --> This WP examines how viewing AI in a formal (e.g., colleague) versus an informal role (e.g., partner) influences people’s self-efficacy in using AI for creative and problem-solving tasks over time. It also examines whether perceptions of enjoyment, intelligence, usefulness, and overall attitudes to AI contribute to explaining these changes in self-efficacy.
WP5 Büsra/Teresa https://aspredicted.org/kx5r-4pxq.pdf WP5 Büsra/Teresa https://aspredicted.org/kx5r-4pxq.pdf --> This WP explores whether people increasingly see AI agents as social actors rather than tools over time. Furthermore, it examines how this change in role perception shapes perceived closeness, loneliness, perceived intelligence, and behavioral intentions to use AI.
WP6 Angelica/Gerrit https://doi.org/10.17605/OSF.IO/JAUD4 WP6 Angelica/Gerrit https://doi.org/10.17605/OSF.IO/JAUD4 --> This WP explores the evolution of people's attitudes toward AI, subjective and objective knowledge about AI, and risk-opportunity perceptions regarding AI developments.
WP7 ? WP7 M. Prentice -->
WP8 Steffi/Sonja https://osf.io/f3jyc?view_only=d8d009e575c64dc2bd453f969c3cb7b1 WP8 Steffi/Sonja https://osf.io/f3jyc?view_only=d8d009e575c64dc2bd453f969c3cb7b1 --> This WP examines how perception of AI as tool or social actor and interaction modality (text vs. voice) shape credibility perceptions through feelings of social presence, enjoyment, and perceived intelligence in the short and long term.
WP9 Steffi https://osf.io/h5fwe?view_only=8c5bc9e62074469ebdb3d72b38f4716d WP9 Steffi https://osf.io/h5fwe?view_only=8c5bc9e62074469ebdb3d72b38f4716d --> This WP investigates how interactions with AI impact frequent users’ attitudes and behavior towards other people.
WP10 Christina https://aspredicted.org/h7vf8s.pdf WP10 Christina https://aspredicted.org/h7vf8s.pdf --> The work package examines why individuals currently do not use communicative AI, identifying the perceptions and concerns underlying their non-use and how they differ from active users.
Nora Hampel?

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README.md
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@ -7,24 +7,12 @@ conducted at the Leibniz-Institut für Wissensmedien (IWM), Tübingen.
## Abstract ## Abstract
Since the emergence of large language models (LLMs) in 2022, generative AI has 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.
rapidly expanded into mainstream applications, leading to the integration of 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.
Apple Intelligence into customer devices in 2024. This integration into personal 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.
technology marks a significant shift, bringing advanced AI capabilities into However, data that link this usage to psychological variables and track it over time remain scarce.
everyday devices and making them accessible to private individuals. Thus, the 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.
use of generative AI--consciously or unconsciously--along with interaction 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.
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.
## Project status ## Project status