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Titlebook: HCI International 2024 Posters; 26th International C Constantine Stephanidis,Margherita Antona,Gavriel Conference proceedings 2024 The Edi

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Improving Real-Time Object Tracking Through Adaptive Feature Fusion and Resampling in Particle Filter method incorporates adaptive resampling strategies and a feature fusion model into a particle filter architecture to effectively utilize both color and edge descriptors, resulting in a comprehensive representation of the object. In order to address the intrinsic difficulties of particle degeneracy
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Differentiable Forests: The Random Journey Continuesed computational models, the community continues to improve model performance by decreasing the propensity for erroneous projection; efforts which ideally culminate in the improvement of Human-Computer Interactions..This study narrowed its focus to two variants of Random Forest (RF) models, the rela
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Maximizing Efficiency in Real-Time Invariant Object Detection: A Multi-algorithm Approachsent a comprehensive analysis of three iterations of an algorithm designed to detect and track computer cursors across video frames. Each edition employs distinct algorithms, catering to diverse research requirements and computational constraints. Our approach seeks to strike a balance between compu
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Actions, Not Apps: Toward Using LLMs to Reshape Context Aware Interactions in Mixed Reality Systemsomputing, the necessity for developing alternative interactions and user flows becomes more evident. Activity theory provides a holistic overview of user interactions and motives. In this work in progress, we propose Action Sandbox Workspace as an interaction framework for the future of MR systems b
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The Sahara and the Algerian Warvelopers in a non-technical language. As a result, poorly articulated stories often lead to misinterpretations, negatively affecting the development process as well as the quality of its outcome. Furthermore, the creation of user stories is often time-consuming, burdening project teams, where time i
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