V-Motive: System for Comprehensive Therapy-Integrated Video Modeling

V-Motive：综合治疗集成视频建模系统

• 批准号: 9117633
• 负责人: REX M JAKOBOVITS
• 金额: $ 34.61万
• 依托单位: EXPERIAD, LLC
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-29 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9117633
• 关键词: Autistic Disorder; Behavior; Behavior Therapy; Behavioral; Child; Client; Clip; Computer software; Cues; Custom; Data; Development; Educational Curriculum; Event; Evidence based intervention; Feasibility Studies; Future; Goals; Health; Hour; Intervention; Libraries; Measures; Metadata; Methods; Modeling; Outcome; Performance; Phase; Pilot Projects; Play; Provider; Publishing; Research; Services; Small Business Innovation Research Grant; Stream; System; Tablets; Techniques; Time; Work; base; evidence base; heuristics; improved; indexing; innovation; interest; programs; prototype; repository; skills; software systems; time use; tool

 DESCRIPTION (provided by applicant): This fast-track SBIR will result in a new type of software system, called V-Motive, which will facilitate the combination of two proven autism behavioral interventions: Applied Behavior Analysis therapy (ABA) and Video Modeling (VM). V-Motive will have the potential to change how ABA therapy is performed by making it feasible for therapy providers to leverage VM in a comprehensive fashion within ABA therapy sessions. ABA therapy is currently the most-prescribed autism intervention, characterized by repetitive discrete trials in which an interventionist prompts the child to elicit desired behaviors or to perform steps within the gradual acquisition of target skills (Myers, 2007). VM is a complementary technique that is particularly effective in children with autism, in which children are instructed to imitate what they see in demonstration videos of the desired behaviors or skills to be acquired (Dorwick, 1991). Both ABA therapy and VM have been extensively researched and deemed evidence-based interventions by the National Standards Project (National Autism Center, 2010). Studies have shown that use of VM within ABA therapy can accelerate a child's progress, especially when a child is struggling to master a particular target (Freeman, 2000). This is especially true if the subject in the video is the child himself performing the skill corretly at an earlier date; this is known as video self-modeling (VSM) (Wert, 2003). However, in practice, VM and VSM are rarely used in a comprehensive fashion within ABA therapy, because it is impractical to create and maintain libraries of videos that closely match the steps comprisin their clients' individualized curriculums. Even when matching videos are available, finding the right video on demand and then cueing it up to the correct time point normally requires a significant amount of time and effort on the part of the interventionist, disrupting the flow of th therapy session. V-Motive will overcome this barrier by making it feasible for interventionists to leverage their ongoing therapy sessions to generate custom video repositories that are built around the unique curriculums of their clients. By interfacing with existing tablet-based ABA therapy management products, the proposed V-Motive system will automatically index raw footage obtained during passively-taped therapy sessions, and upload the indexed footage to a video storage and playback system in the cloud. During subsequent sessions, V-Motive will show thumbnails of available video clips depicting successful past performance of each target being worked on, which the interventionist can play for the child on demand, cued to the appropriate time point automatically. The long term goal of this research is to develop a new type of tool that can be wielded by interventionists to accelerate a child's progress through their ABA curriculum by leveraging evidence-based techniques which were previously unfeasible on a comprehensive scale due to the added labor required to practice those techniques using existing methods. By accelerating a child's progress (even by a small fraction), our system will allow therapy providers to extend their services to a greater number of children in need.

 描述（由应用程序提供）：此快速轨道SBIR将导致一种称为V-动力的新型软件系统，这将促进两种经过验证的自闭症行为干预措施的组合：应用行为分析治疗（ABA）和视频建模（VM）。 V-Motive将有可能通过使治疗提供者在ABA治疗课程中以全面的方式利用VM来改变ABA治疗的方式。 ABA治疗目前是处方最多的自闭症干预措施，其特征是重复性离散试验，其中干预主义者会促使孩子引起所需的行为或在目标技能的成绩中执行步骤（Myers，2007年）。 VM是一项完整的技术，在自闭症儿童中特别有效，其中指示儿童模仿他们在演示视频中看到所需的行为或技能要获得的东西（Dorwick，1991）。 ABA疗法和VM均已按照国家标准项目进行了广泛的研究和视为基于证据的干预措施（国家自闭症中心，2010年）。研究表明，在ABA治疗中使用VM可以加速孩子的进步，尤其是当孩子努力掌握特定目标时（Freeman，2000）。如果视频中的主题是孩子本人在较早的日期正确执行技能，则尤其如此。这被称为视频自模型（VSM）（Wert，2003）。但是，实际上，VM和VSM很少以ABA疗法的全面方式使用，因为创建和维护与匹配这些步骤的视频库是不切实际的，这些视频库完整了客户的个性化课程。即使有匹配的视频可用，请按需找到正确的视频，然后将其提示至正确的时间点，通常需要大量的时间和精力在干预主义者中，这破坏了治疗课程的流程。 V-Motive将通过使干预主义者利用其正在进行的治疗课程来生成围绕客户独特课程构建的自定义视频存储库来克服这一障碍。通过与现有的基于平板电脑的ABA治疗管理产品进行接口，提议的V-Motive系统将自动索引在被动治疗过程中获得的原始素材，并将索引录像上传到云中的视频存储和播放系统中。在随后的会议期间，V-Motive将显示可用的视频剪辑的缩略图，描绘了正在处理的每个目标的过去表现，干预者可以根据需要为孩子效力，并自动示出适当的时间点。这项研究的长期目标是开发一种新型的工具，干预者可以通过他们的进步来加速孩子的进步 ABA课程通过利用基于证据的技术，这些技术以前在综合规模上是由于使用现有方法练习这些技术所需的劳动力而在综合规模上是不可行的。通过加速孩子的进度（即使是一小部分），我们的系统将允许治疗提供者将其服务扩展到更多需要的儿童。