Understanding Algorithms through Exploration
Malin Eiband, Charlotte Anlauff, Tim Ordenewitz, Martin Zürn, Heinrich Hußmann · Proceedings of Mensch und Computer 2019 · 2019
We investigate exploration as an alternative to explanation to improve user understanding of algorithms and algorithmic decision-making. Drawing on complex problem-solving as defined in cognitive science, we conducted a think-aloud study in the lab (N=10) as well as an MTurk online study (N=123) using a flight booking scenario to see if and how exploration supports knowledge acquisition in two different tasks. One group was told to focus on booking the cheapest flight (knowledge acquisition as a secondary task), the other on understanding the system logic (knowledge acquisition as a primary task).