Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kabir Batra
dblp:401/6637
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Human-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.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Learning and educational technologies · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › virtual reality
collaborative virtual reality |
0.9 | 1 | 2025 | XRXL: A System for Immersive Visualization in Large Lectures · VR 2025 |
Methods — techniques the papers use, named apart from their topics
user study · 1.7usability assessment · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | XRXL: A System for Immersive Visualization in Large LecturesabstractThis paper describes XRXL, an extended-reality system for increasing student engagement in large lectures. Students wear XR headsets to see 3D visualizations controlled by the instructor. The instructor can virtually retract the roof and walls of the classroom to allow for large-scale visualizations that extend beyond the physical boundaries of the classroom, or to turn the classroom into a 360° theater. The instructor can also partition the classroom into small groups of students and to assist individual groups as needed. XRXL was tested in an IRB-approved user study with 82 students in the context of a mock-lecture on neural networks. To the best of our knowledge, the study is the largest deployment of a co-located collaborative XR application to date. The study shows that students had a favorable opinion of XRXL, that XRXL had a low task load, an acceptable usability level, and that it did not cause cybersickness. Kabir Batra, Anima Agrawal, Yiyin Gu, Bedrich Benes, Alejandra J. Magana, Voicu Popescu |
VR | 1 |