Yi Fei Cheng’s research while affiliated with Carnegie Mellon University and other places

... Spatial audio is central to audio augmentation, such that virtual sounds are perceived as emanating from specific locations in 3D space [56]. Humans rely on multiple sensory modalities when they engage with their environment [35,46,67], and the auditory sense remains highly significant for localization even when visual cues is limited, sometimes replacing visual information altogether (e.g., "watching" television from another room) [14,29]. Research indicates that the use of spatial audio encourages users to adopt a more active role in spatial navigation, leading to even more accurate cognitive maps [13], while simultaneously reinforcing the sense of presence in XR environments [36]. ...

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AudioMiXR: Spatial Audio Object Manipulation with 6DoF for Sound Design in Augmented Reality

... Since file management mostly consists of sub-tasks such as dragging files to other folders or applying specific operations (i.e., deleting, duplicating, copying, compressing) on multiple files, a multi-selection function would be more useful. Furthermore, providing an efficient method for managing multiple objects in XR becomes more crucial, as recent XR is capable of presenting multiple windows at once [9,35]. ...

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PinchCatcher: Enabling Multi-selection for Gaze+Pinch

... AR applications can support content arrangement by suggesting and refining object placement through methods such as surface detection [87,92,121], object auto-clustering [117], or object relocation [80,91]. Full automation that minimizes manual effort has also been explored, like adaptation to the physical environments [19,38,97], user context [34,60,80], or original layouts [20]. However, as adaptation results can deviate from actual intentions, users reported preferring to retain control [80,117]. ...

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Documents in Your Hands: Exploring Interaction Techniques for Spatial Arrangement of Augmented Reality Documents

... People are able to choose a variety of input methods in most Augmented Reality (AR) and Virtual Reality (VR) interfaces, and so understanding user input preferences is important. Input methods such as hand gestures and handheld controllers are widely used in AR and VR [19,33,39,46,47,50]. However, user preferences may change over time. ...

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The Brain Knows What You Prefer: Using EEG to Decode AR Input Preferences

... AvatarPoser [33] and its subsequent work [8,34] predict full-body poses based on head and hand poses tracked by commercial mixed reality devices. HOOV [86] extends hand tracking beyond the field of view of head-mounted cameras using inertial signals captured at the wrist. ...

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EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity

... Recent advances in natural input techniques, like hand gestures [14,29,60] and speech recognition [4,35,55], have enabled more intuitive and controller-free interactions. However, these methods are often limited by a lack of haptic feedback [40,47], reduced precision [11,46], and user fatigue [6,28] over extended periods. To overcome these challenges, the focus is now on developing robust input sensing techniques that can transform everyday surfaces into interactive, touch-sensitive interfaces. ...

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HaloTouch: Using IR Multi-path Interference to Support Touch Interactions With General Surfaces

... This way, the environments themselves do not need to be aligned, but rather a common anchor is established within each collaborator's environment. Herskovitz et al. provide a toolkit capable of displaying collaborators through a portal, world-in-miniature display, or by anchoring them to a common element of both rooms, such as a chair or table [9]. The idea of anchoring has also been explored in other works [6,7,10]. ...

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Exploring the Effects of Level of Control in the Initialization of Shared Whiteboarding Sessions in Collaborative Augmented Reality

... By combining machine learning techniques for spatial understanding as well as object segmentation and classification (e.g., Augmented Object Intelligence [11]), our approach for transforming virtual objects relative to their 3D centroid can be extended to physical objects as well. Such a system could create a virtual replica of relevant physical objects [31] and apply diminished reality techniques [8] to remove the physical objects from view. This would allow the virtual replica objects to be transformed for each user in the same way as in the Decoupled Hands approach. ...

Reference:

Decoupled Hands: An Approach for Aligning Perspectives in Collaborative Mixed Reality