Latest papers from Taejun Kim
We present a new and accurate approach for gaze estimation on consumer computing devices. We take advantage of continued strides in the quality of user-facing cameras found in e.g., smartphones, laptops, and desktops — 4K or greater in high-end devices — such that it is now possible to capture the 2D reflection of a d…
Text entry on smartphones remains challenging for Blind and Low Vision (BLV) users, particularly in environments where audio feedback is impractical due to noise, privacy, or social stigma. We present TypeHap, a new system that enables BLV users to type confidently on smartphones using only haptic feedback without rel…
In-hand rotation is a natural motor skill of humans, yet current VR controllers mainly rely on arm and wrist movements to rotate virtual objects, leading to significant arm motion and fatigue. To address this, we propose TwinSpin, a VR controller employing two embedded mini-trackballs manipulated by the thumb and inde…
Modern GUIs often have a hierarchical structure, i.e., the z-axis of the GUI interaction space. However, conventional mice do not support effective navigation along the z-axis, leading to increased physical movements and cognitive load. To address this inefficiency, we present the OtMouse, a novel mouse that supports…
The palmrest area of laptops has the potential as an additional input space, considering its consistent palm contact during keyboard interaction. We propose Palmrest+, leveraging shear force exerted on the palmrest area. We suggest two input techniques: Palmrest Shortcut, for instant shortcut execution, and Palmrest J…
The paradigm of bare-hand interaction has become increasingly prevalent in Augmented Reality (AR) and Virtual Reality (VR) environments, propelled by advancements in hand tracking technology. However, a significant challenge arises in delivering haptic feedback to users’ hands, due to the necessity for the hands to re…
While text entry is an essential and frequent task in Augmented Reality (AR) applications, devising an efficient and easy-to-use text entry method for AR remains an open challenge. This research presents STAR, a smartphone-analogous AR text entry technique that leverages a user's familiarity with smartphone two-thumb…
We present Lattice Menu, a gaze-based marking menu utilizing a lattice of visual anchors that helps perform accurate gaze pointing for menu item selection. Users who know the location of the desired item can leverage target-assisted gaze gestures for multilevel item selection by looking at visual anchors over the gaze…
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