SBIR/STTR Research Award

Virtual Reality Cannabis Cue Exposure Assessment System

Award identifier 464cf15df8c4be6c6a8822336e62e95b892f73f932e72113854e3d6f90dea1feAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$144,526

Program and phase

STTR · Phase I

Award year

2004

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
VIRTUALLY BETTER INC
Proposal award date
Not reported
Contract end date
Not reported
UEI
U3YHM5TMMCZ9
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): This proposed project seeks to develop and test the feasibility of a human laboratory and clinically based virtual reality cannabis cue exposure assessment system (VR-CCA) for cannabis abuse and dependence. Traditional assessment methods (cue exposure) involve bringing persons into austere laboratory or clinical environments and using photos, video, paraphernalia or therapist role playing to elicit and assess reactions. While this results in reactions, the inherent lack of ecological validity may limit generalization of traditional cue exposure in treatment programs. Virtual reality exposure (VRE) combines computer graphics with sensory input devices including: tracking devices, visual head mounted displays (HMD), and directional audio designed to immerse a participant in a computer-generated virtual environment. VR-CCA for cannabis would combine the elements of VR with specific drug cues, environments, drug related social interactions, olfactory cues (various scents) and other associated stimuli in the safe, confidential and controlled lab or office setting. VR-CCA combining video images and exposure to complex cues can expand traditional assessment methods (i.e. cue-exposure/reactivity) approaches and offer distinct advantages over traditional approaches. This project will focus on the development of a VR-CCA combining both computer generated and video images depicting cannabis smoking cues (e.g. cannabis cigarettes, pipes, burning joints) and cannabis smoking social interactions (e.g. being offered a cannabis cigarette in a social context). The feasibility of VR-CCA will be tested in an open clinical pilot trial with current cannabis smokers. Twenty cannabis smokers will be exposed to both VR neutral stimuli and VR drug (cannabis) stimuli. Physiological arousal and self-reported craving and mood will be compared between the VR neutral and VR drug (cannabis) stimuli. The aim of this project is to develop and pilot test VR-CCA for cannabis smokers. The long-term goal is to develop and test the VR-CCA, and develop affordable turnkey, VR-CCA systems that will be commercially available to substance abuse programs, individual therapists, hospitals, and drug addiction researchers for assessment and treatment of cannabis and other drugs of abuse.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

38 SBIR/STTR records share this UEI (1998–2024). Reported award amounts total $22,159,094. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.