Generative Design workflows have introduced alternative paradigms in the domain of computational design, allowing designers to generate large pools of valid solutions by defining a set of goals and constraints. However, analyzing and narrowing down the generated solution space, which usually consists of various high-dimensional properties, has been a major challenge in current generative workflows. By taking advantage of the interactive unbounded spatial exploration, and the visual immersion offered in virtual reality platforms, we propose V-Dream, a virtual reality generative analysis framework for exploring large-scale solution spaces. V-Dream proposes a hybrid search workflow in which a spatial stochastic search approach is combined with a recommender system allowing users to pick desired candidates and eliminate the undesired ones iteratively. In each cycle, V-Dream reorganizes the remaining options in clusters based on the defined features. Moreover, our framework allows users to inspect design solutions and evaluate their performance metrics in various hierarchical levels, assisting them in narrowing down the solution space through iterative cycles of search/select/re-clustering of the solutions in an immersive fashion. Finally, we present a prototype of our proposed framework, illustrating how users can navigate and narrow down desired solutions from a pool of over 16000 monitor stands generated by Autodesk's Dreamcatcher software.
Reimagining TaxiVis through an Immersive Space-Time Cube metaphor and reflecting on potential benefits of Immersive Analytics for urban data exploration
A Meat-Summer Night's Dream: A Tangible Design Fiction Exploration of Eating Biohybrid Flying Robots
Chalmers University of Technology（查尔姆斯理工大学）；University of Luxembourg（卢森堡大学）；University at Buffalo（布法罗纽约州立大学）；alter+ (Alter Plus)（alter+（Alter Plus））；King’s College London（伦敦国王学院）；University of Bergen（卑尔根大学）
A VR System for Immersive Teleoperation and Live Exploration with a Mobile Robot
Institute of Computer Science II – Computer Graphics, University of Bonn（波恩大学计算机科学II系——计算机图形学）；Institute of Computer Science VI – Autonomous Intelligent Systems, University of Bonn（波恩大学计算机科学VI系——自主智能系统）
Effect of Haptic Feedback on Avoidance Behavior and Visual Exploration in Dynamic VR Pedestrian Environment
Department of Mechano-informatics, The University of Tokyo（机械信息学系，东京大学）；Department of Electrical Engineering, Stanford University（电气工程系，斯坦福大学）；Department of Mechanical Engineering, Stanford University（机械工程系，斯坦福大学）
