research
∙
06/09/2023
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System
Explainable recommender systems (RS) have traditionally followed a one-s...
share
research
∙
05/26/2023
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System
Significant attention has been paid to enhancing recommender systems (RS...
research
∙
05/19/2023
Visualization for Recommendation Explainability: A Survey and New Perspectives
Providing system-generated explanations for recommendations represents a...
research
∙
04/17/2023
Trust and Transparency in Recommender Systems
Trust is long recognized to be an important factor in Recommender System...
research
∙
04/04/2023
Towards a Flexible User Interface for 'Quick and Dirty' Learning Analytics Indicator Design
Research on Human-Centered Learning Analytics (HCLA) has provided demons...
research
∙
04/03/2023
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System
Despite the acknowledgment that the perception of explanations may vary ...
research
∙
03/22/2023
Open Learning Analytics: A Systematic Literature Review and Future Perspectives
Open Learning Analytics (OLA) is an emerging research area that aims at ...
research
∙
03/22/2023
The LAVA Model: Learning Analytics Meets Visual Analytics
Human-Centered learning analytics (HCLA) is an approach that emphasizes ...
research
∙
03/22/2023
