Shin Donghee, How do users interact with algorithm recommender systems? The interaction of users, algorithms, and performance, 2020, vol. 109.
Although
algorithms have been widely used to deliver useful applications and
services, it is unclear how users actually experience and interact
with algorithm-driven services. This ambiguity is even more troubling
in news recommendation algorithms, where thorny issues are
complicated. This study investigates the user experience and
usability of algorithms by focusing on users' cognitive process to
understand how qualities/features are received and transformed into
experiences and interaction.
