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Angelica Lermann Henestrosa 2025-09-05 14:39:44 +02:00
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18
manuscript.Rnw
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@ -30,12 +30,20 @@ This dataset allows for future research on psychological and behavioral dynamics
\section{Background and Summary}
...
Longitudinal studies like this are needed to capture the evolving perceptions of opportunities and risks associated with AI, perceived capabilities of AI systems, attitudes toward AI, trust in AI, willingness to delegate tasks to AI, areas of application, and the interrelationships among these constructs over time (to be continued). To examine those changes and relationships, an American sample mainly consisting of AI users (specify) was invited to participate in this survey at two-month intervals between September 2024 and July 2025.
% Overview of Dataset
%
% * Provide a clear overview of the dataset
% * Explain the motivation for creating the dataset
% * Outline the potential reuse value of the dataset
%
* dataset brings together various seperate WPs -> possibility to make across-WP analyses
* potential to look on clusters/subgroups/individual trajectories ignored in the WPs
* snapshots of important points in time (LLMs on the rise)
* outlook on potential developments in other countries
* connection of actual use and stable psychological variables
% Previous Publications
%
% * Cite any previous publications that utilized these data, in whole or in part
@ -62,6 +70,12 @@ This dataset allows for future research on psychological and behavioral dynamics
% * Detail the data acquisition methods.
% * Explain any computational processing involved.
%
* Prolific
* Invitation
* time and intervals
* retention rate
* second sample -> invitation of wave1 participants
* focus on users -> exclusion of nousers without intention
% Input Data for Secondary Datasets
%
% * Provide detailed descriptions of all input data.
@ -108,6 +122,10 @@ This dataset allows for future research on psychological and behavioral dynamics
\section{Technical Validation}
* attention check
* bot detection question
* forced to respond
% * Describe the experiments, analyses, or checks performed to support the
% technical quality of the dataset.
% * Include any supporting figures and tables as needed.

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manuscript.pdf
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manuscript.tex
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@ -30,12 +30,20 @@ This dataset allows for future research on psychological and behavioral dynamics
\section{Background and Summary}
...
Longitudinal studies like this are needed to capture the evolving perceptions of opportunities and risks associated with AI, perceived capabilities of AI systems, attitudes toward AI, trust in AI, willingness to delegate tasks to AI, areas of application, and the interrelationships among these constructs over time (to be continued). To examine those changes and relationships, an American sample mainly consisting of AI users (specify) was invited to participate in this survey at two-month intervals between September 2024 and July 2025.
% Overview of Dataset
%
% * Provide a clear overview of the dataset
% * Explain the motivation for creating the dataset
% * Outline the potential reuse value of the dataset
%
* dataset brings together various seperate WPs -> possibility to make across-WP analyses
* potential to look on clusters/subgroups/individual trajectories ignored in the WPs
* snapshots of important points in time (LLMs on the rise)
* outlook on potential developments in other countries
* connection of actual use and stable psychological variables
% Previous Publications
%
% * Cite any previous publications that utilized these data, in whole or in part
@ -62,6 +70,12 @@ This dataset allows for future research on psychological and behavioral dynamics
% * Detail the data acquisition methods.
% * Explain any computational processing involved.
%
* Prolific
* Invitation
* time and intervals
* retention rate
* second sample -> invitation of wave1 participants
* focus on users -> exclusion of nousers without intention
% Input Data for Secondary Datasets
%
% * Provide detailed descriptions of all input data.
@ -108,6 +122,10 @@ This dataset allows for future research on psychological and behavioral dynamics
\section{Technical Validation}
* attention check
* bot detection question
* forced to respond
% * Describe the experiments, analyses, or checks performed to support the
% technical quality of the dataset.
% * Include any supporting figures and tables as needed.
@ -153,7 +171,7 @@ Hier ist ein R-Chunk:
\end{Sinput}
\begin{Soutput}
Min. 1st Qu. Median Mean 3rd Qu. Max.
-2.24450 -0.46612 0.04537 0.04214 0.61126 2.97660
-3.31070 -0.70017 0.02192 -0.05356 0.66420 2.06854
\end{Soutput}
\end{Schunk}