# Mexca User Profile

In this document, we describe the user profile(s) for the software tool Multimodal Emotion Expression Capture Amsterdam (MEXCA). We use nine criteria to construct the profile(s).

## Profile

1. Occupation/Education:
- Higher education students
- PhD students
- Postdocs
- Asst. Professors
2. Domain: (Computational) Social Sciences
- Political Science
- Communication Science
- Psychology
3. Goals: Analyzing emotion expressions from politicians' faces, voices, and speech content
- Over time
- Across modalities
- Across politicians
4. Tasks:
- Data collection
- Data preprocessing
- Data analysis
- Data visualization
- Reporting results in papers
- Teaching
5. Domain knowledge:
- Is familiar with emotion theories (e.g., six basic emotions, valence-arousal model)
- Is familiar with emotion expressions and operationalization of emotions (e.g., facial action units, voice pitch)
6. Computer experience:
- Knows how to install common software on Windows and Mac (i.e., Docker)
- Knows about standard file formats (e.g., .txt, .csv, .wav)
- Knows how to transfer and convert files using standard software (e.g., .mp4 to .wav)
7. Software experience: Knows basic programming in R
- Knows how to import and process tabular data (e.g., dplyr)
- Has a basic understanding of standard modeling/machine learning concepts (e.g., features/predictors, classification, cross-validation)
8. Limits:
- (Has limited time resources)
- Does not know how use the command line
- Does not know how to build programms from source files
- Does not know how to use git
- Has no knowledge of deep learning

9. Values:
- Appreciates open science:
- Reproducible analyses
- Transparent analyses
- Prefers simplicity
- Prefers interactivity