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This repository contains our project for the Human-Computer Interaction exam at the Msc Cognitive Science at Aarhus University, spring 2022.

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A bias-diminishing applicant shortlisting tool

Human Computer Interaction Exam - MSc Cognitive Science at Aarhus University - Spring 2022

By Kiri Koppelgaard, Thea Rolskov Sloth & Ida Bang Hansen

About The Project

This repository contains our project for the Human-Computer Interaction exam at the Msc Cognitive Science at Aarhus University, spring 2022.

We here present ScreenAid, a software tool to diminish biodemographic biasses in the task of shortlisting job applicants for interviews. Research shows that recruiters are prone to biasses and often discriminate based on irrelevant biodemographic factors such as age, sex, and ethnicity when screening job applicants. ScreenAid aims to combat these problems by presenting anonymised, relevant information to best support comparison between candidates. It facilitates a narrowing process through different steps of filtering, browsing, comparing, sorting, and inviting applicants for interviews.

ScreenAid process

Get started

  • Clone the repository
    git clone https://github.com/idabh/HCI-exam
  • Install required modules
    pip install -r requirements.txt
  • Launch the Streamlit application
    streamlit run main.py

Contact

Ida Bang Hansen - [email protected]
Kiri Koppelgaard - [email protected]
Thea Rolskov Sloth - [email protected]

About

This repository contains our project for the Human-Computer Interaction exam at the Msc Cognitive Science at Aarhus University, spring 2022.

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