Framing And Expert Power Decides Between Algorithm Aversion and Algorithm Appreciation
Research Project | 2020-2021
In this project, we demonstrate that the framing (how a system is named and described) and expert power (the perceived competence) are the key factors influencing whether people will prefer suggestions from humans or from AI systems. We highlight this as a design oppurtunity to manipulate people's acceptance to AI decision-support systems. This paper is published at CSCW 2021.