SpatialProto: Exploring Real-World Motion Captures for Rapid Prototyping of Interactive Mixed Reality

Muller, Leon; Pfeuffer, Ken; Gugenheimer, Jan; Pfleging, Bastian; Prange, Sarah; Alt, Florian

doi:10.1145/3411764.3445560

Cited by 23 publications

(7 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Customizer interfaces are a way to create remixes [28], which was considered as a way to support creative practitioners in authoring immersive experiences through sampling [106]. Specific tools like SpatialProto [80], Pro-cessAR [21], ProtoAR [84], VRCeption [36], or VRFromX [47] are examples where XR is leveraged to provide an authoring environment for new, immersive environments and applications.…”

Section: Design In and For Extended Realitymentioning

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Design In and For Extended Realitymentioning

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

Self Cite

View full text Add to dashboard Cite

show abstract

“…At this stage, the conceptual approach involves integrating research findings, interpreting data, and forming a cohesive conclusion. Researchers must ensure that the [51], [52], [39] [53], [54], [45] [46], [48], [49] [40], [55], [56] [50], [57], [58] [42], [59], [60] [61], [43] synthesis of findings is based on the conceptual framework developed earlier and is relevant to the research questions.…”

Section: ) Phase 4: Synthesis Of Findingsmentioning

confidence: 99%

The Use of Motion Capture Technology in 3D Animation

Caroline Wibowo,

Nugroho,

Wibowo

2024

IJCDS

View full text Add to dashboard Cite

This research explores the application of Motion Capture (MoCap) technology in 3D animation, discussing the potential of algorithms in understanding human motion and enhancing motion capture technology. Through a comprehensive review, the study identifies the strengths and limitations of motion capture systems, emphasizing the importance of maintaining a balance between accessibility and quality in the process. The research utilizes a literature review and comprehensive analysis of motion capture technology in the context of 3D animation as its methodology. Literature sources were acquired from online journal databases such as IEEE, Google Scholar, and ScienceDirect. The literature analysis involves four phases of approach, including data extraction and systematic evaluation of the content of each source. The study reveals several challenges, including the complexity of synchronizing motion data with 3D models, understanding algorithms for human motion, and improving motion capture technology. Additionally, the research highlights the potential of machine learning algorithms to enhance the accuracy and efficiency of motion capture data processing. The research findings emphasize the importance of maintaining a balance between accessibility and quality when selecting motion capture systems for 3D animation production. Furthermore, machine learning algorithms are detected to improve the accuracy and efficiency of motion capture data processing. Identified challenges include integrating motion capture into 3D animation production, considering costs, and resource requirements, and integration with animation software. The potential use of motion capture in film production, video games, and other applications provides insights into the significant impact of this technology on the visual experience for audiences. In summary, this study offers an extensive examination of the motion capture procedure, as well as its potential and obstacles within the domain of 3D animation.

show abstract

“…As reflected in an interview of 26 AR/VR designers and developers [67], the current processes of XR developments cannot effectively bring synergy between the technical AR/VR developers and content creators, while presenting limited communication channels to collect feedback from end-users. Researchers have proposed various prototyping tools to address the issue, such as SpatialProto [89], but none of the existing works, to the best of our knowledge, serves prototyping XR in empathic contexts specifically. Remarkably, the knowledge of collaborative interactions (many-to-many) and user agency also requires further research (Sections 3 and 4), and we call for diversified tools to promote the understanding of users' empathy in XR, especially when designing interaction for empathic reality requires doubled efforts compared to usual XR applications, for the investigation of both users and the Other.…”

Section: Re-imagining Experienced Spaces: Temporal and Spatial Empathymentioning

confidence: 99%

From Digital Media to Empathic Reality: A Systematic Review of Empathy Research in Extended Reality Environments

Ville¹,

Kiarostami²,

Lee³

et al. 2022

Preprint

View full text Add to dashboard Cite

Recent advances in extended reality (XR) technologies have enabled new and increasingly realistic empathy tools and experiences.In XR, all interactions take place in different spatial contexts, all with different features, affordances, and constraints. We present a systematic literature survey of recent work on empathy in XR. As a result, we contribute a research roadmap with three future opportunities in XR-enabled empathy research across both physical and virtual spaces.CCS Concepts: • Human-centered computing → Mixed / augmented reality; Graphical user interfaces.

show abstract

SpatialProto: Exploring Real-World Motion Captures for Rapid Prototyping of Interactive Mixed Reality

Cited by 23 publications

References 23 publications

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

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

The Use of Motion Capture Technology in 3D Animation

From Digital Media to Empathic Reality: A Systematic Review of Empathy Research in Extended Reality Environments

Contact Info

Product

Resources

About