Davide Ceneda

Prof. Dr.techn. Davide Ceneda is a researcher at TU Wien, affiliated with the Visual Analytics Research Group (E193-07). His work focuses on advancing guidance systems and methodologies within visual analytics, emphasizing user-centered design and mixed-initiative interactions. He holds a doctoral degree in guidance-enriched visual analytics (2020).

Research Interests: Visual analytics, guidance design, human-computer interaction, temporal data visualization, and user-assisted systems. His recent studies explore trust models in AI-driven guidance, task-driven frameworks, and automated assistance mechanisms.

Publications: Ceneda’s recent work includes papers on guidance-enhanced temporal networks (TimeLighting), dual evaluation methodologies, and the Lotse framework. His research highlights a consistent focus on improving user experience through structured guidance.

Collaborations: Works closely with experts like Silvia Miksch and Alessio Arleo. Co-developed COVIs for pandemic data analysis and contributed to the Circle of Thrones radial infographic project.

Awards: No specific awards mentioned, but publications reflect high-impact contributions to the field.