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Item Emotional Responses to Exclusionary Behaviors in Intelligent Embodied Augmented Reality Agents(The Eurographics Association, 2024) Apostolou, Kalliopi; Milata, Vaclav; Škola, Filip; Liarokapis, Fotis; Hu, Ruizhen; Charalambous, PanayiotisThis study investigated how interactions with intelligent agents, embodied as augmented reality (AR) avatars displaying exclusionary behaviors, affect users' emotions. Six participants engaged using voice interaction in a knowledge acquisition scenario in an AR environment with two ChatGPT-driven agents. The gaze-aware avatars, simulating realistic body language, progressively demonstrated social exclusion behaviors. Although not statistically significant, our data suggest a post-interaction emotional shift, manifested by decreased positive and negative affect-aligning with previous studies on social exclusion. Qualitative feedback revealed that some users attributed the exclusionary behavior of avatars to system glitches, leading to their disengagement. Our findings highlight challenges and opportunities for embodied intelligent agents, underscoring their potential to shape user experiences within AR, and the broader extended reality (XR) landscape.Item Driller: An Intuitive Interface for Designing Tangled and Nested Shapes(The Eurographics Association, 2024) Butler, Tara; Guehl, Pascal; Parakkat, Amal Dev; Cani, Marie-Paule; Hu, Ruizhen; Charalambous, PanayiotisThe ability to represent not only isolated shapes but also shapes that interact is essential in various fields, from design to biology or anatomy. In this paper, we propose an intuitive interface to control and edit complex shape arrangements. Using a set of pre-defined shapes that may intersect, our ''Driller'' interface allows users to trigger their local deformation so that they rest on each other, become tangled, or even nest within each other. Driller provides an intuitive way to specify the relative depth of different shapes beneath user-selected points of interest by setting their local depth ordering perpendicularly to the camera's viewpoint. Deformations are then automatically generated by locally propagating these ordering constraints. In addition to being part of the final arrangement, some of the shapes can be used as deformers, which can be later deleted to help sculpt the target shapes. We implemented this solution within a sketch-based modeling system designed for novice users.Item A Visual Profiling System for Direct Volume Rendering(The Eurographics Association, 2024) Buelow, Max von; Ströter, Daniel; Rak, Arne; Fellner, Dieter W.; Hu, Ruizhen; Charalambous, PanayiotisDirect Volume Rendering (DVR) is a crucial technique that enables interactive exploration of results from scientific computing or computer graphics. Its applications range from virtual prototyping for product design to computer-aided diagnosis in medicine. Although there are many existing DVR optimizations, they do not provide a thorough analysis of memory-specific hardware behavior. This paper introduces a profiling toolkit that enables the extraction of performance metrics, such as cache hit rates and branching, from a compiled GPU-based DVR application. The metrics are visualized in the image domain to facilitate spatial visual analysis. This paper presents a pipeline that automatically extracts memory traces using binary instrumentation, simulates the GPU memory subsystem, and models DVR-specific functionality within it. The profiler is demonstrated using the Octree-Linear Bounding Volume Hierarchy (OLBVH), and the visualized profiling metrics are explained based on the OLBVH implementation. Our discussion demonstrates that optimizing ray traversal for adaptive sampling, cache usage, branching, and global memory access has the potential to improve performance.