36 citations · 52 across the 13 of their papers we have counts for
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Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System
Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder +4
Explainable recommender systems (RS) have traditionally followed a one-size-fits-all approach, delivering the same explanation level of detail to each user, without considering the…
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System
Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder +4
Significant attention has been paid to enhancing recommender systems (RS) with explanation facilities to help users make informed decisions and increase trust in and satisfaction w…
Towards a Flexible User Interface for 'Quick and Dirty' Learning Analytics Indicator Design
Shoeb Joarder, Mohamed Amine Chatti, Seyedemarzie Mirhashemi +1
Research on Human-Centered Learning Analytics (HCLA) has provided demonstrations of a successful co-design process for LA tools with different stakeholders. However, there is a nee…
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System
Mohamed Amine Chatti, Mouadh Guesmi, Laura Vorgerd +4
Despite the acknowledgment that the perception of explanations may vary considerably between end-users, explainable recommender systems (RS) have traditionally followed a one-size-…
Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications
Mohamed Amine Chatti, Volkan Yücepur, Arham Muslim +2
There is an increased interest in the application of learning analytics (LA) to promote self-regulated learning (SRL). A variety of LA dashboards and indicators were proposed to su…