Demo Data from EDBT 2026 / reviewers in the wild / expert
Mehakdeep Kaur
dblp:420/7713
· 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 |
Usability and user experience research · 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 › augmented reality
augmented reality interaction |
0.9 | 1 | 2025 | When Senses Collide: Investigating Modality Congruence and Interference Between Task and Notification in Augmented Reality · ISMAR 2025 |
Methods — techniques the papers use, named apart from their topics
controlled user study · 1.7cognitive load measurement · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | When Senses Collide: Investigating Modality Congruence and Interference Between Task and Notification in Augmented RealityabstractAs augmented reality (AR) technologies become more integrated into everyday tasks, the design of notification systems that minimize disruption while enhancing user awareness is increasingly important. This study investigates how crossmodal interference between notification modality (visual, audio, tactile) and primary task modality (also visual, auditory, tactile) affects user perception and performance in AR environments. Through a controlled user study ($N=36$), participants engaged in modality-specific pattern recognition tasks while responding to spatial directional notifications delivered via different sensory channels. By analyzing notification awareness time, reaction time, task accuracy, and subjective measures, such as cognitive load and user preference, the study reveals how congruency or mismatch between task and notification modalities can either facilitate or hinder attention redirection and multi-tasking efficiency. The findings contribute to the design of adaptive AR notification systems that are less intrusive and better aligned with users' perceptual and cognitive states. Mehakdeep Kaur, Hyeongil Nam, Ryan Kang, Dongyun Han, Donghoon Kim 0001, Isaac Cho, Kangsoo Kim |
ISMAR | 1 |