As VR expands into public spaces, new challenges emerge around spontaneous interactions between bystanders and unfamiliar VR users. While current VR systems often prioritize user awareness of their physical surroundings, they overlook the social dynamics affecting nearby bystanders. We conducted a deception-based study (N=80) examining how interface availability influences bystanders’ comfort, confidence, and hesitation when interrupting VR users. We compared traditional static interruption interfaces (e.g., button on screen) with a proactive proxy that actively approached bystanders upon detecting interruption intent. Static interfaces, due to insufficient cueing, frequently caused bystander discomfort, leading to hesitant physical interruptions or complete communication avoidance. In contrast, the proactive proxy implicitly conveyed social permission, significantly enhancing bystanders’ comfort and confidence. Our findings provide empirical insights into how bystanders assess availability and initiate interruptions with unfamiliar VR users in shared spaces, offering design implications for VR systems that support bystander agency and comfort during these interactions.

Virtual Reality (VR) offers portable and flexible workspaces. However, enabling efficient and comfortable interactions without external input devices remains challenging. We propose leveraging redirected input to enable comfortable and touch-like interaction for quick and intuitive control. Our design study revealed that while touch interaction performs well with direct input, its performance degrades significantly under input redirection. In contrast, using pinch improves redirected input by providing self-haptic feedback and reducing input dimensionality, thereby compensating for spatial discrepancies. Based on these findings, we introduce Redirected Pinch, a bare-hand interaction technique that combines input redirection with pinch confirmation. It creates a virtual plane at waist height, remapping hand movements on the plane to a vertical window, with pinch gestures used for confirmation. A user study demonstrated that Redirected Pinch achieves a strong balance of accuracy, efficiency, comfort, and sense of agency across fundamental interactions.

Sketching on virtual objects in Virtual Reality (VR) can be challenging due to the lack of a physical surface that constrains the movement and provides haptic feedback for contact and movement. While using a flat physical drawing surface has been proposed, it creates a significant discrepancy between the physical and virtual surfaces when sketching on non-planar virtual objects. We propose using a dynamic shape display that physically mimics the shape of a virtual surface, allowing users to sketch on a virtual surface as if they are sketching on a physical object’s surface. We demonstrate this using VRScroll, a shape-changing device that features seven independently controlled flaps to imitate the shape of a virtual surface automatically. Our user study showed that participants exhibited higher precision when tracing simple shapes with the dynamic shape display and produced clearer sketches. We also provided several design implications for dynamic shape displays aimed at enabling precise sketching in VR.

In this paper, we present MoiréTag—a novel tag-like device that magnifies displacement without active components for indirect sensing of subtle tangible interactions. The device consists of two overlapping layers of stripe patterns with distinct pattern frequencies. These layers create Moiré fringes that can move faster than the actual movement of a layer. Using a customized image processing pipeline, we show that MoiréTag can reliably detect sub-mm movement in real-time (mean error = 0.043 mm) under varying lighting conditions, camera angles, and camera distances. We also demonstrate five applications of MoiréTag to showcase its potential as a low-cost solution to capture and monitor small changes in movement and other physical properties, such as force and volume, by converting them into displacement.

In video meetings, individuals may wish to share various physical objects with remote participants, such as physical documents, design prototypes, and personal belongings. However, our formative study discovered that this poses several challenges, including difficulties in referencing a remote user’s physical objects, the limited visibility of the object, and the friction of properly framing and orienting an object to the camera. To address these challenges, we propose ThingShare, a video-conferencing system designed to facilitate the sharing of physical objects during remote meetings. With ThingShare, users can quickly create digital copies of physical objects in the video feeds, which can then be magnified on a separate panel for focused viewing, overlaid on the user’s video feed for sharing in context, and stored in the object drawer for reviews. Our user study demonstrated that ThingShare made initiating object-centric conversations more efficient and provided a more stable and comprehensive view of shared objects.

Robots operate under certain forces that affect their behavior. Consider, a drone meant to deliver packages must hold its pose as long as it operates under its weight and wind limits. Validating that such a drone handles external forces correctly is key to ensuring its safety. Nevertheless, validating the system's behavior under the effect of such forces can be difficult and costly. For example, checking the effects of different wind magnitudes may require waiting for the matching outdoor conditions or requiring wind tunnels. Checking the effects of different package sizes and shapes may require many slow and laborious iterations, and validating the combinations of wind gusts and package configurations is often hard to replicate. This work introduces a framework to overcome such challenges by mimicking external forces exercised on a drone with limited cost, setup, and space. The framework consists of a haptic suit device with directional propellers that can be mounted onto a drone, a synthesizer to transform intended forces into setpoints for the suit's directional propellers, and a controller for the suit to meet those setpoints. We conduct a study to assess the framework's capabilities under multiple scenarios involving various forces. Our findings show that the haptic suit framework can recreate real-world forces on the drone with acceptable precision.