# Immersive Modular Preparedness Intelligent Tutor for the National Institute for Occupational Safety and Health (IMPRINT NIOSH)

> **NIH ALLCDC R43** · CHARLES RIVER ANALYTICS, INC. · 2022 · $243,455

## Abstract

Project Summary/Abstract
 National Institute for Occupational Safety and Health (NIOSH) Hierarchy of Control (HoC) measures help
keep workers safe by determining how to overcome site specific challenges in a way that is efficacious and
efficient. Instructors must deliver engaging hybrid training to support worker and first responder safety and
adherence to protocol in the field. This often burdens instructors to deliver Zoom or PowerPoint simulations
that, although based on real events, fail to meaningfully engage or immerse trainees. This lack of engagement
can limit learning, putting trainees and others at risk by decreasing their ability to adhere to protocol when
responding to incidents in the field. Therefore, emergency response training organizations need a cost-
effective training solution that increases the stakes and authenticity of simulations to better equip trainees to
remain safe and effective when they are in the field.
 Charles River Analytics, in partnership with The New England Consortium proposes to develop and
evaluate an Immersive Modular Preparedness Intelligent Tutor for the National Institute for Occupational
Safety and Health (IMPRINT NIOSH). IMPRINT NIOSH aims to provide a robust, commercial, portable virtual
reality (VR) solution that will be complemented by an intelligent virtual training system and development
framework that actively improves trainees' ability to perform HoC procedures within a range of realistic case
studies, field scenarios, modules, and activities. IMPRINT NIOSH will include an intelligent tutoring system
(ITS) that guides training in the untethered Oculus Quest VR headset to provide an immersive, personalized
virtual training experience. With IMPRINT NIOSH, trainees can overcome complex, dangerous situations in
a safe, controlled environment through guided and immersive procedure rehearsal. Trainees will be
accompanied throughout their experience with an automated “training buddy”, that employs adult learning
theory in the context of lessons to enhance training outcomes. In Phase II, we will produce a system that
complements existing training with a production ready VR case study development suite and a library of VR
case studies that replace or augment standard paper and PowerPoint scenario-based activities used to
prepare trainees.

## Key facts

- **NIH application ID:** 10546820
- **Project number:** 1R43OH012496-01
- **Recipient organization:** CHARLES RIVER ANALYTICS, INC.
- **Principal Investigator:** Austin Crumpton
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** ALLCDC
- **Fiscal year:** 2022
- **Award amount:** $243,455
- **Award type:** 1
- **Project period:** 2022-09-01 → 2023-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10546820

## Citation

> US National Institutes of Health, RePORTER application 10546820, Immersive Modular Preparedness Intelligent Tutor for the National Institute for Occupational Safety and Health (IMPRINT NIOSH) (1R43OH012496-01). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10546820. Licensed CC0.

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