Assessing the utility of an interaction qualities framework in systematizing the evaluation of user control
The user's experience with a recommender system is significantly shaped by the dynamics
of user-algorithm interactions. These interactions are often evaluated using interaction …
of user-algorithm interactions. These interactions are often evaluated using interaction …
Exploring categorizations of algorithmic affordances in graphical user interfaces of recommender systems
E Bartels, A Smits, C Detweiler… - IFIP Conference on …, 2023 - Springer
This exploratory study investigates the rationale behind categorizing algorithmic controls, or
algorithmic affordances, in the graphical user interfaces (GUIs) of recommender systems …
algorithmic affordances, in the graphical user interfaces (GUIs) of recommender systems …
Design ideas for recommender systems in flexible education: how algorithmic affordances may address ethical concerns
S van Rossen, E Bartels, K Cardona… - IFIP Conference on …, 2023 - Springer
In flexible education, recommender systems that support course selection, are considered a
viable means to help students in making informed course selections, especially where …
viable means to help students in making informed course selections, especially where …
Results of the Workshop on Algorithmic Affordances in Recommender Interfaces
A Smits, E Bartels, C Detweiler… - IFIP Conference on Human …, 2023 - Springer
Algorithmic affordances are defined as user interaction mechanisms that allow users
tangible control over AI algorithms, such as recommender systems. Designing such …
tangible control over AI algorithms, such as recommender systems. Designing such …