Test

The study deals with the relationship between personality and emotions in situations of decision making uncertainty.
It was part of an academic research with two goals:
- Psychological study: The study deals with the relationship between personality and emotions in situations of decision making uncertainty
- Software engineering study: The study deals with a new data classification algorithm for generating a set of effective models

We expect to identify how people with diverse personalities express different emotion-action relationships.
As a key component, personality traits are expected to clarify and improve the understanding of the scale of emotions and their influence in situations of decision-making under uncertainty.

We found that, the effect of the relationship between emotions and decisions differs for people of different genders and different degrees of locus of control.
The novelty of this approach is that we do not aim to predict decisions or emotional uprisals during paradoxical situations or in times of uncertainty.
Instead, we identified the complex patterns underlying such decision-making.
We differentiated the patterns of emotional decision-making for different groups with diverse personality traits.

Data:
The data was collected via an online experiment (See 'Steps to reproduce').
The raw experiment data is attached hereby as 'raw_data_ellsberg.csv'.
Our data preparation Python code to standardise the data and prepare it for further learning can be found here: https://github.com/dtrugman/edt/blob/main/data_prepare_ellsberg.ipynb

本研究围绕不确定性决策情境下人格与情绪的关联展开。本研究属于一项兼具双重目标的学术项目，具体目标如下：
- 心理学研究目标：探究不确定性决策情境下人格与情绪之间的关联
- 软件工程研究目标：提出一种新型数据分类算法，以生成一批高效可用的模型

本研究旨在厘清不同人格特质人群所呈现的差异化情绪-行为关联模式。作为核心研究变量，人格特质有助于阐明并深化我们对情绪维度及其在不确定性决策情境中影响作用的认知。

研究发现，情绪与决策之间的关联效应，会因个体性别以及不同程度的控制点（locus of control）而呈现显著差异。本研究方法的创新之处在于，我们并非旨在预测悖论情境或不确定性时期内的决策行为与情绪波动；相反，我们挖掘出了此类决策行为背后的复杂模式，并针对不同人格特质群体，区分出了各自的情绪化决策模式。

### 数据集说明
本研究数据通过线上实验采集（详见「复现步骤」）。原始实验数据以"raw_data_ellsberg.csv"文件形式随附。本研究用于标准化数据并为后续机器学习建模做好准备的Python数据预处理代码，可通过以下链接获取：https://github.com/dtrugman/edt/blob/main/data_prepare_ellsberg.ipynb