Demo Data from EDBT 2026 / reviewers in the wild / expert
Anish Shrestha
dblp:323/2745
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 |
Human-AI interaction · 44% Interaction techniques and input · 44% Collaborative and social computing · 13% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction
privacy preservation |
0.5 | 1 | 2021 | Human perception-enhanced camera system for web conferences leveraging device motions · MobiCom 2021 |
Methods — techniques the papers use, named apart from their topics
motorized camera control · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Human perception-enhanced camera system for web conferences leveraging device motionsabstractWe present a demonstration of a human perception-enhanced camera system for web conferencing that protects the user's privacy. Given that people easily forget about their active camera during web conferences, the system advertises the camera's active status via its motions to remind users that they are being watched by others. This prevents inadvertent privacy leakage. The system is developed based on a motorized camera, which moves according to the user's head coordinates just like an eye is looking at the user's face in front of the desk rather than remotely or virtually. The basic idea is to exploit the original human body sense of environmental motions for human-camera interaction, which does not require looking straight at the camera or its LED light to actively check its status. In this demonstration, we showcase our implementation of the human perception-enhanced camera system and invite participants to use the system for web conferences (e.g., Zoom and Google Hangout), which illustrates the system's ability to extend the virtual social interaction to the physical world and the effectiveness of using the camera motion as a non-intrusive awareness indicator. Anish Shrestha, Chen Wang 0009 |
MobiCom | 1 |