Interface experiment participants work with
As more and more organizations and governments seek to optimize certain processes with the use of artificial intelligent solutions, we must ask ourselves, under what conditions should these solutions be used?
This project aims to investigate how humans interact with artificial intelligence in the form of facial recognition technology in a high-risk scenario and how to improve the human-machine partnership. We explore under what conditions combining the inputs of humans and machines produces the most accurate results in recognizing faces of diverse groups of people. In the employee identification scenario, a human operator (with the help of a facial recognition system) has to identify if a person entering a company building is an employee or not. The human operator reviews the image of the entering person and the most similar image in the image database along with the information provided by the FRS and decides whether to grant access or ask for an ID card. We conduct an online experiment with a 2 X 2 between-subjects factorial design with subjects randomly assigned to conditions (see Figure 1).