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Human-AI Persona Interaction Dataset: Chat Logs, Psychophysiology, and Survey Data from a Controlled Leadership Style Experiment

Version 1.1

Ciechanowski, Leon; Kovbasiuk, Anna; Sowa, Konrad; Triantoro, Tamilla; Przegalińska, Aleksandra; Freeman, Richard, 2026, "Human-AI Persona Interaction Dataset: Chat Logs, Psychophysiology, and Survey Data from a Controlled Leadership Style Experiment", https://doi.org/10.18150/IPGR44, RepOD, V1

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Description

The dataset contains materials and data from an experiment examining the impact of an AI chatbot persona (a supportive "Servant Leader" persona vs. an antagonistic "Dark Triad" persona) on users' psychological, physiological, and behavioral outcomes, as well as task performance in a marketing collaboration task.

The dataset includes data from pretest and posttest questionnaires, expert ratings of task performance, task products, psychophysiological data (electrodermal activity and facial electromyography), and anonymized chatbot conversation logs. The dataset may also include derived variables related to behavioral coding (including LLM-assisted coding results) used in analyses.

The study was conducted using a cross-group design. The purpose of the deposit is to ensure transparency, replicability, and the possibility of further analyses in the areas of human–AI interaction, AI persona, psychophysiology, and creative collaboration.

The dataset is associated with the manuscript entitled "The System's Shadow: How AI Personas Drive Psychological and Physiological Outcomes."

Subject
Business and Management
Keyword

human-AI interaction, AI persona, psychophysiology, electrodermal activity, facial EMG, chatbot, AI at work, generative AI

CC BY - Creative Commons Attribution 4.0 CC BY - Creative Commons Attribution 4.0

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1 to 5 of 5 Files
conversation_logs.zip
ZIP Archive - 645.0 KB - Mar 16, 2026 - 0 Downloads
MD5: d029d63901955c5c5e6a6504d6c710d3
License: CC BY - Creative Commons Attribution 4.0
A compressed folder containing logs of dialogues between participants and their respective AI personas. This data was used for behavioral analysis, coding the diversity of communication strategies, and identifying algorithmic resistance and jailbreaking attempts.
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psychophysiology_signal.zip
ZIP Archive - 1.1 GB - Mar 16, 2026 - 0 Downloads
MD5: af6e02c254409cd0462ba414e040e2c2
License: CC BY - Creative Commons Attribution 4.0
A compressed folder containing continuous recordings of psychophysiological signals collected during the experiment. It includes electrodermal activity (EDA) and facial electromyography (facial EMG) data.
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AI_boss_data_pretest_posttest.tab
Tabular Data - Original format: Comma Separated Values - 343.9 KB - Mar 16, 2026 - 1 Download
License: CC BY - Creative Commons Attribution 4.0
193 Variables, 57 Observations - UNF:6:CR5MKcR31Ddesqp7nWc1+Q==
The main tabular data file contains combined results from the pre- and post-experiment surveys. It includes self-report data (e.g., job enjoyment, satisfaction, and attention) and expert-rated task performance.
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posttest_labels.tab
Tabular Data - Original format: Comma Separated Values - 12.2 KB - Mar 16, 2026 - 0 Downloads
License: CC BY - Creative Commons Attribution 4.0
3 Variables, 83 Observations - UNF:6:Hvp+ljZOG3bTaKrlvWX9/A==
Codebook for variables from the post-test survey in the main file. Contains explanations of column names and self-assessment scales completed after completing the task.
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pretest_labels.tab
Tabular Data - Original format: Comma Separated Values - 21.0 KB - Mar 16, 2026 - 0 Downloads
License: CC BY - Creative Commons Attribution 4.0
3 Variables, 999 Observations - UNF:6:GLPummEKCppPvVgw1/ATZQ==
A codebook for variables from the pretest survey in the main file. This contains explanations of column names and measures used before interacting with the AI.
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