VLDB 2026 Research / reviewers in the wild / expert
Moyi Li
dblp:205/6928
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0008-9638-7890ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Ubiquitous computing and smart environments · 44% Human-AI interaction · 44% Design research and methods · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments
emergency response |
0.8 | 1 | 2024 | Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial · CHI 2024 |
Human-AI interaction
human-AI collaboration |
0.8 | 1 | 2024 | Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial · CHI 2024 |
Design research and methods › field study
field trial |
0.2 | 1 | 2024 | Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
interviews · 0.8field trial · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field TrialabstractApplications of drones in emergency response, like firefighting, have been promoted in the past decade. As the autonomy of drones continues to improve, the ways in which they are integrated into firefighting teams and their impact on crews are changing. This demands more understanding of how firefighters perceive and interact with autonomous drones. This paper presents a drone-based system for emergency operations with which firefighters can interact through sound, lights, and a graphical user interface. We use interviews with stakeholders collected in two field trials to explore their perceptions of the interaction and collaboration with drones. Our result shows that firefighters perceived visual interaction as adequate. However, for audio instructions and interfaces, information overload emerges as an essential problem. The potential impact of drones on current work configurations may involve shifting the position of humans closer to supervisory decision-makers and changing the training structure and content. Moyi Li, Dzmitry Katsiuba, Mateusz Dolata, Gerhard Schwabe |
CHI | 1 |