VLDB 2026 Research / reviewers in the wild / expert
Müge Cavdan
dblp:248/2443
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2025
0000-0003-3575-3849ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 3 · 3 since 2021Artificial intelligence and machine learning · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Brief non-spatial signals facilitate visual search and temporal sensitivity in robot supervision
Bora Celebi, Julian Kaduk, Müge Cavdan, Heiko Hamann, Knut Drewing |
Int. J. Hum. Comput. Stud. | 3 |
| 2024 | From One to Many: How Active Robot Swarm Sizes Influence Human Cognitive ProcessesabstractIn robotics, understanding human interaction with autonomous systems is crucial for enhancing collaborative technologies. We focus on human-swarm interaction (HSI), exploring how active robot groups of varying sizes affect operators’ cognitive and perceptual reactions over distinct durations. We analyze the impact of different numbers of active robots within a 15-robot swarm on operators’ time perception, emotional state, flow experience, and task difficulty perception. Our findings indicate that managing multiple active robots when compared to one active robot significantly alters time perception and flow experience, leading to a faster passage of time and increased flow. More active robots and extended durations cause increased emotional arousal and perceived task difficulty, highlighting the interaction between the number of active robots and human cognitive processes. These insights inform the creation of intuitive human-swarm interfaces and aid in developing swarm robotic systems aligned with human cognitive structures, enhancing human-robot collaboration. Julian Kaduk, Müge Cavdan, Knut Drewing, Heiko Hamann |
RO-MAN | 2 |
| 2023 | Effects of Human-Swarm Interaction on Subjective Time Perception: Swarm Size and SpeedabstractMany large-scale multi-robot systems require human input during operation in different applications. To still minimize the human effort, interaction is intermittent or restricted to a subset of robots. Despite this reduced demand for human interaction, the mental load and stress can be challenging for the human operator. A specific effect of human-swarm interaction may be a hypothesized change of subjective time perception in the human operator. In a series of simple human-swarm interaction experiments with robot swarms of up to 15 physical robots, we study whether human operators have altered time perception due to the number of controlled robots or robot speeds. Using data gathered by questionnaires, we found that increased swarm size shrinks perceived time and decreased robot speeds expand the perceived time. We introduce the concept of subjective time perception to human-swarm interaction. Future research will enable swarm systems to autonomously modulate subjective timing to ease the job of human operators. Julian Kaduk, Müge Cavdan, Knut Drewing, Argiro Vatakis, Heiko Hamann |
HRI | 2 |