V-Dream: Immersive Exploration of Generative Design Solution Space

Keshavarzi, Mohammad; Bidgoli, Ardavan; Kellner, Hans

doi:10.1007/978-3-030-60117-1_35

Cited by 9 publications

(4 citation statements)

References 29 publications

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“…Participatory design in education involves involving learners, educators, institutions, researchers, and developers in the different stages of the design process, from exploration to actual implementation [Prieto-Alvarez et al, 2018]. Generative design, on the other hand, is a process in which humans have tools to describe their needs and intentions, explore the design space, generate a set of target solutions, and then select and refine the most appropriate solution based on their own judgment [Keshavarzi et al, 2020].…”

Section: Design Methodologymentioning

confidence: 99%

Fostering Collaborative and Creative Design of Learning Dashboards: An Empowered Participatory Approach and Tools

Sadallah¹,

Gilliot²

2023

Preprint

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Learning dashboards aim to support decision-making throughout the learning process. However, their widespread adoption remains limited. While this observation can be attributed to their relatively recent emergence, research indicates that it is also due to a lack of stakeholder participation in the design process. To address this issue and involve users, we propose an integrated approach using a participatory design tool for the ideation phase and a generative tool for prototyping. We analyze these tools in terms of usability, support for participation, and user experience across the different phases. The analysis of feedback received demonstrates that these tools facilitate both end-user participation and developer user experience.

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Section: Design Methodologymentioning

confidence: 99%

Fostering Collaborative and Creative Design of Learning Dashboards: An Empowered Participatory Approach and Tools

Sadallah¹,

Gilliot²

2023

Preprint

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“…Prior work has extensively investigated visualization of large design spaces, adopting galleries and clustering to increase the ease of navigating through different design options (Marks et al, 1997;Erhan et al, 2015;Matejka et al, 2018). To this extent, attempts have been made to adapt gallery-based visualizations to VR interfaces, assisting the navigation of large solution spaces in VR (Keshavarzi et al, 2020). Leveraging the findings from these works, we utilize a gallery-based design visualization in our study to supplement constraint-based approaches for exploring the design space.…”

Section: Considerations and Approaches For Exploring Large Design Spacesmentioning

confidence: 99%

Vr or Not? Investigating Interface Type and User Strategies for Interactive Design Space Exploration

et al. 2023

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Computational design tools allow the generation of vast numbers of possible designs, entrusting the human designer with describing constraints or specifications to guide exploration of the design space. Designers can have many different decision considerations when conducting this type of exploration, including form, function, users, or context. In this work, we investigate strategies that emerge when people are tasked with exploring a large design space within either a non-immersive (2D) or immersive (VR) interface and equipped with action-based interactions to set or envision specifications related to their considerations. Results from a 28 participant user study uncovers that people have varying strategies to enact their decision considerations that are not unique to the type of interface. However, the interfaces differ in perceptions of enabling breadth or depth of exploration holistically, with preference towards 2D interfaces to compare options, and VR to understand single designs. These results have implications for the user experience of systems that allow designers to explore the outputs of large design spaces, both at the interaction and interface levels.

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“…Mueller and Ochsendorf [54] proposed a computational design exploration approach that takes advantage of an interactive evolutionary algorithm to integrate the designers' preferences within the solution search. Work of Keshavarzi et al [35] extends the user interaction with the solution space from 2D input to 3D exploration, by developing a virtual reality generative analysis framework for navigating large-scale solution spaces. In this work, we take advantage of native generative design visualization and exploration tools in Dynamo VPL, enabling the user to visualize, filter and analyze Pareto-optimal solutions in real-time in different performance metrics.…”

Section: Related Workmentioning

confidence: 99%

GenFloor: Interactive Generative Space Layout System via Encoded Tree Graphs

Keshavarzi¹,

Rahmani²

2021

Preprint

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Automated floorplanning or space layout planning has been a long-standing NP-hard problem in the field of computer-aided design, with applications in integrated circuits, architecture, urbanism, and operational research. In this paper, we introduce GenFloor, an interactive design system that takes geometrical, topological, and performance goals and constraints as input and provides optimized spatial design solutions as output. As part of our work, we propose three novel permutation methods for existing space layout graph representations, namely O-Tree and B*-Tree representations. We implement our proposed floorplanning methods as a package for Dynamo, a visual programming tool, with a custom GUI and additional evaluation functionalities to facilitate designers in their generative design workflow. Furthermore, we illustrate the performance of GenFloor in two sets of case-study experiments for residential floorplanning tasks by (a) measuring the ability of the proposed system to find a known optimal solution, and (b) observing how the system can generate diverse floorplans while addressing given a constant residential design problem. Our results indicate convergence to the global optimum is achieved while offering a diverse set of solutions of a residential floorplan corresponding to local optimums of the solution landscape.

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V-Dream: Immersive Exploration of Generative Design Solution Space

Cited by 9 publications

References 29 publications

Fostering Collaborative and Creative Design of Learning Dashboards: An Empowered Participatory Approach and Tools

Fostering Collaborative and Creative Design of Learning Dashboards: An Empowered Participatory Approach and Tools

Vr or Not? Investigating Interface Type and User Strategies for Interactive Design Space Exploration

GenFloor: Interactive Generative Space Layout System via Encoded Tree Graphs

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