Dohyeon Yeo

schoolGwangju Institute of Science and Technologybar_chart#1248 Global Rank

Total Papers

HCI Rank

#1248

Research Areas

Years Active

Recent Publications

From Disruption to Immersion: Reimagining Vehicle Motion as Environmental Feedback through Force Mappings in In-Car VR

This study investigates how vehicle motion can be reinterpreted as perceptually coherent multisensory feedback for in-car VR applications, expanding beyond traditional motion-based experiences. We introduce the concept of force mappings, a design space that translates vehicle-induced physical forces such as from accel…

UIST '251st AuthorIn-Vehicle Haptic, Audio & Multimodal Feedback +1

AttraCar: Multisensory In-Car VR with Thermal, Airflow, and Motion Feedback through Built-In Vehicle Systems

We introduce AttraCar, a novel multisensory in-car Virtual Reality (VR) platform that delivers thermal, airflow, and motion feedback using built-in vehicle systems. Leveraging the Heating, Ventilation, and Air Conditioning (HVAC) system for airflow and thermal variation, and the power seat for motion feedback, percept…

CHI '255th+ AuthorMotion Sickness & Passenger Experience +2

I Want to Break Free: Enabling User-Applied Active Locomotion in In-Car VR through Contextual Cues

We explore the feasibility of active user-applied locomotion in virtual reality (VR) within in-car environments, diverging from previous in-car VR research that synchronized virtual motion with the car's movement. Through a two-step study, we examined the effects of locomotion methods on user experience in dynamic veh…

UBICOMP '242nd AuthorEye Tracking & Gaze Interaction +1

WatchCap: Improving Scanning Efficiency in People with Low Vision through Compensatory Head Movement Stimulation

Jo 等人提出 WatchCap 方法，通过补偿性头部运动刺激技术，提升低视力人群的视觉扫描效率。

UBICOMP '244th AuthorAutomated Driving Interface & Takeover Design +1

TimelyTale: A Multimodal Dataset Approach to Assessing Passengers' Explanation Demands in Highly Automated Vehicles

Kim等人构建TimelyTale多模态数据集，评估高度自动化车辆中乘客的系统解释需求，为改善自动驾驶人机交互体验提供数据支撑。

CHI '243rd AuthorHonorable MentionMotion Sickness & Passenger Experience +2

SYNC-VR: Synchronizing Your Senses to Conquer Motion Sickness for Enriching In-Vehicle Virtual Reality

Passengers 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…

UBICOMP '232nd AuthorAutomated Driving Interface & Takeover Design +2

What and When to Explain? On-road Evaluation of Explanations in Highly Automated Vehicles

"Explanations in automated vehicles help passengers understand the vehicle's state and capabilities, leading to increased trust in the technology. Specifically, for passengers of SAE Level 4 and 5 vehicles who are not engaged in the driving process, the enhanced sense of control provided by explanations reduces potent…

CHI '201st AuthorAutomated Driving Interface & Takeover Design +1

Toward Immersive Self-Driving Simulations: Reports from a User Study across Six Platforms

As self-driving car technology matures, autonomous vehicle research is moving toward building more human-centric interfaces and accountable experiences. Driving simulators avoid many ethical and regulatory concerns about self-driving cars and play a key role in testing new interfaces or autonomous driving scenarios. H…

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