Contact
uran.oh@ewha.ac.kr
URAN OH
Assistant Professor
Department of Computer Science and Engineering
Ewha Womans University
오유란
Eyes-free text entry with wearable sensors
adaptive app launcher for smartwatches
Supporting Instance navigation of photos for people with visual impairments
nonvisual guidance for assisting spatial tasks in 3D space with six degrees of freedom
The Motivation
Text-entry can sometimes be not always-available or efficient, especially in mobile contexts where users have to constantly monitor their surrondings for their safety (e.g., avoid bumping into people or obstacles).
The Goal and Expected Contributions
Designing and implementiong a wearable device with finger-, or wrist-mounted sensors such as inertial motion unit or electromyography (EMG) sensors. This device should enables users to enter texts without visual feedback.
The Motivation
Object classification/localization or scene summarization has been an on-going research topic in computer vision for many years. While these can benefit people with visual impairments to have better access to visual contents of an image, it is still challenging for them to fully understand the scene, which may prevents many of them from being socially engaged with friends [ref].
The Goal and Expected Contributions
Developing a system that enables users with visual impairments to gain better understanding of a complex scene with multiple instance by allowing users to spatially explore each instance in the scene by touch. The system can improve the accessibility of images by providing visual information of images in detail.
The Motivation
With the advancement of technologies in augmented or virtual reality (AR/VR) research, the interaction such as navigation or object manipulation is no longer limited to two dimension. However, the assitance for supporting interactions in 3-dimensional space for people with visual impairments has not been well-explored, especially when the degree of freedom is high to be delievered to users at once.
The Goal and Expected Contributions
Designing and implementing a system that conveys spatial information of the surrondings in 3D space with nonvisual feedback with minimum cognitive loads. This system may be used for assisting object localization (i.e., helping a blind person to reach to a specific object) and photography for people with visual impairments.
The Motivation
Selecting a target from a collection of items on a smartwatch is a frequent yet challenging task. The constrained screen real estate can only accommodate a small number of items to be large enough for finger tips. As a result, users often need to search through a long list of items or navigate UI hierarchies to find and select a target.
The Goal and Expected Contributions
Developing an app launcher for a smartwatch which adaptively changes the layout of the apps or the size of the app icons based their app launch likelihoods. This would enable users to find and open a desired app with efficiency.
