activity
20202026
most citedConcentrating on the Impact: Consequence-based Explanations in Recommender Systems

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026★ 1 cited

Usability Analysis of Configurator User Interfaces with Multimodal Large Language Models

Sebastian Lubos, Alexander Felfernig, Damian Garber +11

Configuration is a key technology for tailoring complex software systems, services, and products. A successful application of configurators not only depends on technical correctnes…

cs.SE2025★ 1 cited

Investigating Multimodal Large Language Models to Support Usability Evaluation

Sebastian Lubos, Alexander Felfernig, Damian Garber +3

Usability evaluation is an essential method to support the design of effective and intuitive user interfaces (UIs). However, it commonly relies on resource-intensive, expert-driven…

cs.IR2023★ 2 cited

Concentrating on the Impact: Consequence-based Explanations in Recommender Systems

Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz +4

Recommender systems assist users in decision-making, where the presentation of recommended items and their explanations are critical factors for enhancing the overall user experien…

cs.IR2021

KnowledgeCheckR: Intelligent Techniques for Counteracting Forgetting

Martin Stettinger, Trang Tran, Ingo Pribik +5

Existing e-learning environments primarily focus on the aspect of providing intuitive learning contents and to recommend learning units in a personalized fashion. The major focus o…

eess.SP2020

Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring

Hafsa Bousbiat, Christoph Klemenjak, Gerhard Leitner +1

The need for reducing our energy consumption footprint and the increasing number of electric devices in today's homes is calling for new solutions that allow users to efficiently m…