Determining the Impact of Emotive Intelligent Space on Children's Self-Regulation and Cognitive Performance
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 40
- 试验地点
- 2
- 主要终点
- Self-regulation
研究概览
简要总结
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.
详细描述
Specific Aims
The percentage of young children living in the Mountain West (MW) rural areas is higher than the national average, placing them at a greater risk of poorer health and education outcomes. The proposed project aims to improve those young children's self-regulation - a critical cognitive skill that underpins future mental health and academic outcomes. Self-regulation has been studied as a promising treatment of various mental disorders such as depression and anxiety. A longitudinal study indicates a strong association between kindergarten children's self-regulation skill and their inhibitory control two decades later (inhibitory control was indicated by substance abuse, crimes, and mental disorders). The lack of inhibitory control is a prominent issue among adults in the MW region, as suggested by a nation-wide longitudinal study, with several MW states' average scores ranked near the bottom in the U.S. 7(e.g., Idaho#37, Wyoming#46, Nevada#50). Research also linked the early self-regulation skill to long-term academic achievement, as shown in several early literacy and mathematics intervention studies, further emphasizing an urgent need for interventions targeting self-regulation during a developmentally sensitive age period (age 3-6). To reduce rural children's health and education disparities, we propose to test the effectiveness of an innovative intervention mechanism, Emotive Intelligent Space (EIS), on children's self-regulation, physiological, and cognitive outcomes.
The EIS consists of two 3 x 5 sq. ft. wooden wall panels with 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 published prior research11. The EIS harnesses the power of artificial intelligence to detect children's emotions from physiological data collected by a digital wristband in real-time and to translate these data into environmental changes (i.e., adaptable colored lighting) that adequately respond to children's emotions12,13. The colored lighting on the EIS is a developmentally appropriate intervention mechanism for young children (age 3-6) for their non-invasive, adaptive, responsive, and low-cost design.
The purpose of this proposal is to determine the effect of the EIS on children's behavioral, physiological, and cognitive outcomes using a quasi-experimental design. Forty children in rural areas near Moscow, ID will be recruited via existing collaborative relationships such as U of I research extension programs and Rural Sociology and Economics programs. The EIS could potentially alleviate many challenges facing rural families with young children (e.g., limited access to affordable, quality health and education resources). In the specific aims listed below, children's age, gender, and socioeconomic status (SES) will be included as covariates.
Specific Aim 1: To determine whether EIS influences children's self-regulation. We hypothesize that children will demonstrate better self-regulation under the EIS condition than under the baseline condition.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Supportive Care
- 盲法
- None
入排标准
- 年龄范围
- 3 Years 至 6 Years(Child)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Typically developing children without color blindness
排除标准
- •Children with color blindness
结局指标
主要结局
Self-regulation
时间窗: 10 minutes
Self-regulation will be measured by the Head Toes Knees Shoulder task. This task measures cognitive skills such as inhibitory control, attention, and working memory, which are indicators of self-regulation. Children will be asked to play a game where they must do the opposite of what the experimenter says.
Body temperature
时间窗: 30 minutes
Body temperature will be measured in fahrenheit using the wristband.
Galvanic skin response
时间窗: 30 minutes
Skin Conductance (SC) will be measured as an indicator of the continuous variations in the electrical characteristics of the skin, using the wristband.
Blood volume pulse
时间窗: 30 minutes
Blood volume pulse will be measured as the number of heart beat per minutes, using the wristband.
Cognitive performance
时间窗: 3 minutes
This outcome will be measured with will be measured as working memory efficiency by the Woodcock Johnson Number Reversed subset. WJ-4 is a brief, age-appropriate, and well-validated cognitive ability assessment that evaluates young children's ability to retrieve and retain information required for ongoing cognitive processes.
次要结局
未报告次要终点
研究者
Shiyi Chen
Assistant Professor
University of Idaho
