Determining the Impact of Emotive Intelligent Spaces
Public ClinicalTrials.gov record NCT04836286. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
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Official title
Determining the Impact of Emotive Intelligent Space on Children's Self-Regulation and Cognitive Performance
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
Many children (age 3-6) living in the Mountain West (MW) region face unique challenges that can affect their health and welfare, such as lower socioeconomic status, and limited access to healthcare and education. The proposed project aims to address those health and education gaps by improving children's self-regulation (i.e., the ability to control emotional and behavioral impulses), a critical cognitive skill that underpins future mental health and academic achievement. The project will test the effectiveness of an innovative intervention mechanism, the Emotive Intelligent Space (EIS). The EIS consists of two adjacent 3 x 5 sq. ft. wooden wall panels with colored LED lights, creating a 90-degree semi-private space. The adaptable colored lightings are controlled by a machine learning algorithm that is developed based on a co-investigator's prior study. The EIS harnesses the power of artificial intelligence to detect children's emotions from physiological data in real-time and to translate physiological signals into environmental changes (i.e., adaptable colored lighting) that adequately respond to children's emotions, resulting in improved self-regulation, physiological stress responses, and cognitive performance. The objective of this proposal is to determine the effect of EIS on children's (age 3-6) self-regulation, physiological, and cognitive outcomes by employing a repeated ABAB experimental design (A = no intervention, B = EIS intervention). The hypothesis is that EIS will positively impact children's self-regulation, physiological stress response, and cognitive performance. Based on a priori power analysis, 40 preschool and kindergarten children will be recruited from early childhood programs in the rural areas near Moscow, ID. During the experiment, children will be assessed under a combination of A and B conditions. A digital wristband will capture children's real-time physiological responses (i.e., Galvanic skin response, body temperature, and blood volume pulse). A machine learning algorithm will immediately translate the physiological data into three basic emotions (i.e., happy, angry/fearful, sad) represented by children's choice of colors on the EIS. A series of ANCOVA analyses will be used to determine the mean differences in self-regulation, physiological, and cognitive scores under baseline and treatment conditions.
Study identification
- NCT ID
- NCT04836286
- Recruitment status
- Completed
- Study type
- Interventional
- Phase
- Not applicable
- Enrollment
- 40 participants
Conditions and interventions
Conditions
Eligibility (public fields only)
- Age range
- 3 Years to 6 Years
- Sex
- All
- Healthy volunteers
- Accepts healthy volunteers
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Mar 31, 2021
- Primary completion
- Jun 20, 2022
- Completion
- Jun 20, 2022
- Last update posted
- Nov 2, 2022
2021 – 2022
United States locations
- U.S. sites
- 1
- U.S. states
- 1
- U.S. cities
- 1
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| University of Idaho | Moscow | Idaho | 83844 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT04836286, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Nov 2, 2022 · Synced Sep 3, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT04836286 live on ClinicalTrials.gov.