Novel Data Capture and Assessment Technology for Behavior Disorders
Novel Data Capture and Assessment Technology for Behavior Disorders
批准号:
7425082
负责人:
Ronald Oberleitner
金额:
$53.93万
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-04-10 至 2009-04-30
关键词:
AddressArchivesAreaAutistic DisorderBehaviorBehavior DisordersBehavior TherapyBehavior assessmentBehavioralBoxingBuffersBusinessesCaregiversChildChild BehaviorCognitiveCollectionComputer softwareConditionCost SharingCosts and BenefitsDataDepthDevicesDiagnosisDisruptionEducational StatusElementsEnvironmentEvaluationEventExhibitsFocus GroupsGoalsHealth BenefitHealth Care CostsImageIncidenceInterventionInvasiveLeadLearningLegalMarketingMeasuresMedicalMethodsModificationMonitorNamesOutcomePaperParticipantPhasePhase I Clinical TrialsPilot ProjectsPopulationPrevalencePrivacyProblem behaviorProtocols documentationRangeRecordsRecruitment ActivityReportingRetrievalSchoolsSiteSolutionsStudentsSystemTechniquesTechnologyTechnology AssessmentTimeTrainingVideo Recordingbasecommercializationconceptdesigndisabilityexperiencefeedinghuman studyimprovedinnovationinstructorinterestnovelprototyperesearch and developmentteachertechnology developmenttooluser-friendly
中文摘要
描述(由申请人提供):我们将开发和评估一个工具,旨在支持收集丰富的数据,以便在学校中执行功能行为评估(FBA),特别是针对自闭症儿童。拟议的档案系统将允许教育工作者只记录那些被认为对以后检索和审查很重要的数据或行为。所描述的“经验缓冲”为记录提供了另一种选择,允许教育工作者获得关键需要的记录,而无需手动记录所有细节的繁琐任务,也无需100%的视频记录。在第一阶段,我们根据焦点小组的建议修改了我们的初步系统,以便在学校环境中使用,确定了潜在的隐私/法律障碍,并在一个小型试点研究中评估了可行性。这些具体目标都得到了满足。在第二阶段,我们将以更严格的方式评估该系统,将其应用于更多有特殊需求的儿童群体的研究,让3个中心参与研究,以证明普遍性,并在大约一年的时间内量化结果。我们将进行研究,进一步评估教师适当使用我们系统所需的培训和背景。鉴于在学校环境中接受治疗的有特殊需要的儿童数量庞大且不断增加,我们的系统具有很高的商业潜力。健康益处包括照顾者能够在真实的学校环境中接触到行为,从而改善行为矫正。成本效益包括减少护理人员审查感兴趣的行为的时间。我们将开发和评估一个档案系统,允许教育者和护理人员只记录那些被认为对以后的检索和回顾很重要的行为。所描述的“经验缓冲”为自闭症儿童在通常的学校环境中表现行为提供了另一种选择。健康益处包括基于在真实学校环境中获取行为以供立即或以后审查的能力而改进的行为纠正。成本效益包括减少护理人员审查感兴趣的行为的时间。
英文摘要
DESCRIPTION (provided by applicant): We will develop and evaluate a tool designed to support the collection of rich data for performing a Functional Behavior Assessment (FBA) in schools focusing specifically on children with autism. The proposed archiving system will permit educators to record only those data or behaviors judged to be important for later retrieval and review. The "experience buffers" described provide an alternative for recording that allows educators to get critically needed records without the tedious tasks of manually documenting all of the details and without 100% video recording. In phase I, we modified our preliminary system for use in a school environment with the aid of advice from focus groups, identified the potential privacy/legal hurdles, and assessed feasibility in a small pilot study. Each of these specific aims was met. In phase II, we will evaluate the system in a more rigorous manner, applying it to the study of a larger population of children with special needs, engaging 3 centers in the study to demonstrate universality and quantifying outcomes over a period of approximately one year. We will conduct studies to evaluate further the necessary training and background for instructors to use our system appropriately. The commercial potential of our system is high given the large and increasing incidence of children with special needs treated in school environments. Health benefits include capability for caregivers to access behaviors in a real school environment that should lead to improved behavior modification. Cost benefits include reduced time for caregivers to review behaviors of interest. We will develop and evaluate an archiving system to permit educators and caregivers to record only those behaviors judged to be important for later retrieval and review. The "experience buffers" described provide an alternative for presenting behaviors of children with autism in their usual school environment. Health benefits include improved behavior modification based upon capability for accessing behaviors in a real school environment for immediate or later review. Cost benefits include reduced time for caregivers to review behaviors of interest.
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科研奖励(0)
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Novel Data Capture and Assessment Technology for Behavior Disorders
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负责人:Ronald Oberleitner
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依托单位:
Intelligent Data Capture and Assessment Technology for Developmental Disabilities
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依托单位:
海外基金