Demo Data from EDBT 2026 / reviewers in the wild / expert
Eunsol An
dblp:356/8217
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-9750-5245ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 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 |
Immersive interaction · 56% Haptics and multimodal interaction · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction › virtual reality › mobile virtual reality
in-car virtual reality |
0.8 | 1 | 2024 | SYNC-VR: Synchronizing Your Senses to Conquer Motion Sickness for Enriching In-Vehicle Virtual Reality · CHI 2024 |
Haptics and multimodal interaction › sensory feedback
proprioceptive feedback |
0.8 | 1 | 2024 | SYNC-VR: Synchronizing Your Senses to Conquer Motion Sickness for Enriching In-Vehicle Virtual Reality · CHI 2024 |
Immersive interaction
motion sickness |
0.2 | 1 | 2024 | SYNC-VR: Synchronizing Your Senses to Conquer Motion Sickness for Enriching In-Vehicle Virtual Reality · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
physiological measurement · 0.8electrical muscle stimulation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | SYNC-VR: Synchronizing Your Senses to Conquer Motion Sickness for Enriching In-Vehicle Virtual RealityabstractPassengers can engage more in nondriving-related tasks owing to recent advancements in autonomous vehicles (AVs), making immersive tools such as virtual reality (VR) appealing; however, motion sickness (MS) remains a significant challenge. We present SYNC-VR, a system that aligns with visual, haptic, and auditory cues and provides proprioceptive feedback to illustrate its effect on MS and presence within the in-vehicle VR. We conducted an experiment with 24 participants using a real vehicle along a route with known MS-triggering events. Using subjective and physiological measures, we assessed participants’ presence and MS under four conditions by gradually varying the level of synchronized input sensations. Results reveal that SYNC-VR reduces MS and increases the sense of presence. Additionally, it emphasizes the impact of our interactive VR content and its role in achieving proprioceptive feedback with haptic feedback through electrical muscle stimulation, introducing an innovative approach to MS mitigation in in-vehicle VR. Ahmed Elsharkawy 0001, Aya Ataya, Dohyeon Yeo, Eunsol An, Seokhyun Hwang, Seungjun Kim 0001 |
CHI | 4 |
| 2023 | Designing Virtual Agent Human-Machine Interfaces Depending on the Communication and Anthropomorphism Levels in Augmented RealityabstractWith the introduction of autonomous vehicles, pedestrians may no longer expect explicit communication from drivers. Despite the anticipated safety benefits of anthropomorphic human–machine interfaces (HMIs) for pedestrian crossings, the impact of different levels of anthropomorphism and communication on pedestrian safety remains insufficiently understood. We proposed a virtual-agent (VA) HMI that mimics driver behavior and investigated pedestrians’ preferences through augmented reality (AR) experiments. Eighteen participants made decisions about crossing after receiving cues about the vehicle’s intentions from VA HMIs. Participants preferred the "characterized" VA HMI owing to its aesthetically pleasing design and found the "eye contact + hand gesture" combination to be more easily comprehensible. We found that while the degree of anthropomorphism did not significantly affect pedestrians’ crossing decisions, more explicit communication was helpful. Our study provides empirical evidence regarding users’ experiences of HMI in AR and the effectiveness of VA HMIs that imitate driver communication modes. Yumin Kang, SeongA Choi, Eunsol An, Seokhyun Hwang, Seungjun Kim 0001 |
AutomotiveUI | 3 |