Investigating the Relationship Between Self-Confidence and Success Through Biosignals

This dataset was created to analyze the behavioral, physiological, and neurophysiological responses resulting from changes in individuals' self-confidence levels through suggestion. The primary aim of the study is to experimentally examine the effects of overconfidence on success and to reveal how changes in self-confidence are reflected in cognitive processes.

A total of 34 participants took part in three different suggestion phases: neutral, negative, and positive.

In the neutral phase, participants’ baseline self-confidence levels were measured.

In the negative phase, self-confidence was deliberately reduced.

In the positive phase, self-confidence was enhanced.

During each phase, participants completed computer-based cognitive tests, puzzle tasks, and scenario-based decision-making tests. Throughout the process, neurophysiological and physiological signals such as EEG, BVP, EDA, and accelerometer data were recorded in synchronization with the tasks.
Additionally, task performance data — including the number of correct and incorrect responses, total scores, and scenario-based choices — were collected.

The dataset is organized into the following subfolders:

eeg/ – EEG signals (.csv format)

watch/ – Physiological signals (BVP, EDA, and accelerometer data) (.csv format)

statistics/ – Task and test results for each participant:

Game files: Scores, reaction times, and correct/incorrect counts for five computer-based games and one puzzle task (e.g., game_neutral.csv, game_negative.csv, game_positive.csv).

Scenario, Scale, and General Ability files (.xlsx): Decision-making test data, confidence scale results, and general ability tests for each suggestion phase (e.g., Neutral.xlsx, Negative.xlsx, Positive.xlsx).

video_data/ – Facial expression data segmented into five-second intervals and stored in PNG format. Available only for two participants (SID0023, SID0024) due to consent restrictions. Subfolders are organized by phase (neutral/, negative/, positive/). Filenames specify participant ID and frame number (e.g., S023_313.png). These frames enable the integration of visual features (e.g., facial action units, micro-expressions) with concurrent physiological and EEG data.

This dataset is intended for researchers in psychology, neuroscience, and artificial intelligence who wish to explore the relationship between self-confidence and success through multimodal data.

All data have been anonymized, and personal information has been kept confidential. The study was conducted with the approval of the Ethics Committee of Istanbul Kültür University.