EDBT 2026 Demo / reviewers in the wild / expert
Juheon Choi
dblp:252/8495
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0007-7525-9278ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-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 |
Human-AI interaction · 44% Ubiquitous computing and smart environments · 44% Interaction techniques and input · 13% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments
attention management |
1.0 | 1 | 2026 | State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Living · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
large language model · 1.0field deployment · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital LivingabstractWhen working on digital devices, people often face distractions that can lead to a decline in productivity and efficiency, as well as negative psychological and emotional impacts. To address this challenge, we introduce a novel Artificial Intelligence (AI) assistant that elicits a user’s intention, assesses whether ongoing activities are in line with that intention, and provides gentle nudges when deviations occur. The system leverages a large language model to analyze screenshots, application titles, and URLs, issuing notifications when behavior diverges from the stated goal. Its detection accuracy is refined through initial clarification dialogues and continuous user feedback. In a three-week, within-subjects field deployment with 22 participants, we compared our assistant to both a rule-based intent reminder system and a passive baseline that only logged activity. Results indicate that our AI assistant effectively supports users in maintaining focus and aligning their digital behavior with their intentions. Our source code is publicly available at https://intentassistant.github.io Juheon Choi, Jian Kim, Taywon Min, W. Bradley Knox, Min Kyung Lee, Kimin Lee |
CHI | 1 |
| 2019 | POL360: A Universal Mobile VR Motion Controller using Polarized LightabstractWe introduce POL360: the first universal VR motion controller that leverages the principle of light polarization. POL360 enables a user who holds it and wears a VR headset to see their hand motion in a virtual world via its accurate 6-DOF position tracking. Compared to other techniques for VR positioning, POL360 has several advantages as follows. (1) Mobile compatibility: Neither additional computing resource like a PC/console nor any complicated pre-installation is required in the environment. Only necessary device is a VR headset with an IR LED module as a light source to which a thin-film linear polarizer is attached. (2) On-device computing: Our POL360’s computation for positioning is completed on the microprocessor in the device. Thus, it does not require additional computing resource of a VR headset. (3) Competitive accuracy and update rate: In spite of POL360’s superior mobile compatibility and affordability, POL360 attains competitive performance of accuracy and fast update rates. That is, it achieves the subcentimeter accuracy of positioning and the tracking rate higher than 60 Hz. In this paper, we derive the mathematical formulation of 6-DOF positioning using light polarization for the first time and implement a POL360 prototype that can directly operate with any commercial VR headset systems. In order to demonstrate POL360’s performance and usability, we carry out thorough quantitative evaluation and a user study and develop three game demos as use cases. Hyouk Jang, Juheon Choi, Gunhee Kim |
VRST | 2 |