# CAREER: Towards a Spatial and Embodied End-to-end Data Analysis Workspace in Immersive Environments

> **NSF 01002829DB NSF RESEARCH & RELATED ACTIVIT** · Georgia Tech Research Corporation (GA) · $600,001

## Abstract

This project aims to revolutionize data analysis by harnessing the unique capabilities of immersive technologies, specifically virtual reality (VR) and augmented reality (AR), to design and develop more intuitive and powerful user interfaces. With the increasing complexity and volume of contemporary datasets, there is a pressing need for innovative interfaces that augment analytical capabilities, minimize cognitive load, and facilitate the rapid generation of valuable insights. VR/AR technologies represent the next generation of display and interaction platforms, transcending the limitations of physical screens by enabling users to experience information in two or three dimensions, at any scale, and in any physical location. The gaming and entertainment sectors have experienced considerable success as a result of substantial investments in VR/AR technologies. By integrating immersive technologies into data-intensive workflows, this research aims to reshape the future of workspaces and enhance human analytical capabilities in our increasingly data-driven world. Potential benefits include improved decision-making across sectors like healthcare, finance, and scientific research, while also democratizing data analysis for non-technical users. This could cultivate a more data-literate workforce and society, better equipped to address complex challenges through data-driven approaches.

The project's technical approach is structured around three key aims: (1) Designing intuitive 

## Key facts

- **NSF award ID:** 2441310
- **Awardee organization:** Georgia Tech Research Corporation (GA)
- **SAM.gov UEI:** EMW9FC8J3HN4
- **PI:** Yalong Yang
- **Primary program:** 01002829DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** CAREER-Faculty Erly Career Dev, Cyber-Human Systems
- **Estimated total:** $600,001
- **Funds obligated:** $355,536
- **Transaction type:** Continuing Grant
- **Period:** 06/15/2025 → 05/31/2030

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2441310

## Citation

> US National Science Foundation, Award 2441310, CAREER: Towards a Spatial and Embodied End-to-end Data Analysis Workspace in Immersive Environments. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2441310. Licensed CC0.

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