GeneratiVR: Spatial Interactions in Virtual Reality to Explore Generative Design Spaces

Jennings, Nicholas R.; Nandy, Aditya; Zhu, Xun; Wang, Yuting; Sui, Fanping; Smith, James; Hartmann, Bjoern

doi:10.1145/3491101.3519616

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…To investigate design space exploration across immersive and non-immersive interfaces, we expanded on an interactive system developed by our team (Jennings et al, 2022) for use on a desktop computer (2D) and VR. We then utilized a human subject study to collect participants' actions and self-reported measures during tasks in the two interfaces.…”

Section: Methodsmentioning

confidence: 99%

“…VR interfaces have been promising for design because of their ability to facilitate spatial interaction with 3D objects and simulate environments in which designs might operate (Wang et al, 2020). Using these considerations, Jennings et al (2022) created prototypes of interaction techniques, allowing users to narrow down candidate designs to their preferred style and function by interactively setting constraints. These techniques can be leveraged in immersive and non-immersive interfaces, which may afford different considerations for exploration.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

Self Cite

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“…presented a mixed reality approach for architectural design that relies on robotic fabrication, introducing a framework unifying physical and digital components using a digital twin approach [15]. Design space exploration was probed for generative design systems [73], artificial intelligence systems [112], and situated in immersive environments [49,60].…”

Section: Parametric Design Toolsmentioning

confidence: 99%

pARam: Leveraging Parametric Design in Extended Reality to Support the Personalization of Artifacts for Personal Fabrication

Stemasov,

Demharter,

Rädler

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Extended Reality (XR) allows in-situ previewing of designs to be manufactured through Personal Fabrication (PF). These in-situ interactions exhibit advantages for PF, like incorporating the environment into the design process. However, design-for-fabrication in XR often happens through either highly complex 3D-modeling or is reduced to rudimentary adaptations of crowd-sourced models. We present pARam, a tool combining parametric designs (PDs) and XR, enabling in-situ configuration of artifacts for PF. In contrast to modeling-or search-focused approaches, pARam supports customization through embodied and practical inputs (e.g., gestures, recommendations) and evaluation (e.g., lighting estimation) without demanding complex 3D-modeling skills. We implemented pARam for HoloLens 2 and evaluated it (𝑛 = 20), comparing XR and desktop conditions. Users succeeded in choosing context-related parameters and took their environment into account for their configuration using pARam. We reflect on the prospects and challenges of PDs in XR to streamline complex design methods for PF while retaining suitable expressivity. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Mixed / augmented reality; Interaction design.

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The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions

Sami,

Hammoud,

Arafeh

et al. 2024

IEEE Commun. Surv. Tutorials

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GeneratiVR: Spatial Interactions in Virtual Reality to Explore Generative Design Spaces

Cited by 7 publications

References 16 publications

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

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

pARam: Leveraging Parametric Design in Extended Reality to Support the Personalization of Artifacts for Personal Fabrication

The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions

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