5 papers
Leveraging LLMs for Semi-Automatic Corpus Filtration in Systematic Literature Reviews
Lucas Joos, Daniel A. Keim, Maximilian T. Fischer
The creation of systematic literature reviews (SLR) is critical for analyzing the landscape of a research field and guiding future research directions. However, retrieving and filt…
Evaluating Keyframe Layouts for Visual Known-Item Search in Homogeneous Collections
Bastian Jäckl, JiÅà Kruchina, Lucas Joos +3
Multimodal deep-learning models power interactive video retrieval by ranking keyframes in response to textual queries. Despite these advances, users must still browse ranked candid…
Visual Network Analysis in Immersive Environments: A Survey
Lucas Joos, Maximilian T. Fischer, Julius Rauscher +4
The increasing complexity and volume of network data demand effective analysis approaches, with visual exploration proving particularly beneficial. Immersive technologies, such as…
Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings
Lucas Joos, Gavin J. Mooney, Maximilian T. Fischer +4
The visual analysis of graphs in 3D has become increasingly popular, accelerated by the rise of immersive technology, such as augmented and virtual reality. Unlike 2D drawings, 3D…
Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews
Lucas Joos, Daniel A. Keim, Maximilian T. Fischer
Systematic literature reviews (SLRs) are essential but labor-intensive due to high publication volumes and inefficient keyword-based filtering. To streamline this process, we evalu…