data/README.md

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Project: Human Machine Communication (HMC)
================
This file contains documentation about a collaborative longitudinal study
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.
## Project status
- Data collection is finished
- Data analysis for several work packages in progress
## Contributors
- Anna Christina Faller, a.faller@iwm-tuebingen.de
- Angelica Henestrosa, a.henestrosa@iwm-tuebingen.de
- Büsra Sarigül, b.sariguel@iwm-tuebingen.de
- Eva Nova Secco, e.secco@iwm-tuebingen.de
- Gerrit Anders, g.anders@iwm-tuebingen.de
- Irena Vanessa Ivan, v.ivan@iwm-tuebingen.de
- Nora Hampel, n.hampel@iwm-tuebingen.de
- Mike Prentice, mprent08@gmail.com
- Nico Ehrhardt, n.ehrhardt@iwm-tuebingen.de
- Sonja Utz, s.utz@iwm-tuebingen.de
- Stefanie Klein, s.klein@iwm-tuebingen.de
- Teresa Luther, t.luther@iwm-tuebingen.de
- Nora Wickelmaier, n.wickelmaier@iwm-tuebingen.de
- Michael Steven Prentice
## Waves
* Wave 1: Sep 2024
* Wave 2: Nov 2024
* Wave 3: Jan 2025
* Wave 4: Mar 2025
* Wave 5: May 2025
* Wave 6: Jul 2025
## Folder structure and files
```
data
|-- 01_project_management
| |-- workpackages
| | |-- workpackages.md
|-- 02_material
| |-- AI_Trends_Wave1_Survey.pdf
| |-- AI_Trends_Wave2_Survey.pdf
| |-- AI_Trends_Wave3_Survey.pdf
| |-- AI_Trends_Wave4_Survey.pdf
| |-- AI_Trends_Wave5_Survey.pdf
| |-- AI_Trends_Wave6_Survey.pdf
|-- 03_data
| |-- 01_raw_data
| | |-- anonymization.R
| |-- 02_anonymized_data
| | |-- cleaning.R
| |-- 03_cleaned_data
| | |-- HMC_wave1_cleaned.csv
| | |-- HMC_wave2_cleaned.csv
| | |-- HMC_wave3_cleaned.csv
| | |-- HMC_wave4_cleaned.csv
| | |-- HMC_wave5_cleaned.csv
| | |-- HMC_wave6_cleaned.csv
| |-- HMC_codebook.xlsx
| |-- item_reference.md
| |-- README.md
|-- README.md
```