SCH: INT: Collaborative Research: An Intelligent Pervasive Augmented reaLity therapy (iPAL) for Opioid Use Disorder and Recovery

SCH：INT：合作研究：针对阿片类药物使用障碍和恢复的智能普遍增强现实疗法 (iPAL)

• 批准号: 2013122
• 负责人: Ranjana Mehta
• 金额: $ 21万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2013122&HistoricalAwards=false
• 关键词: SCH; INT; Collaborative; Research; Intelligent

Opioid use disorder and addiction are now characterized as a nationwide “opioid epidemic,” with overdoses now the leading cause of injury deaths in the United States. While opioid overdose deaths have increased greatly over the past two decades as compared to other chronic diseases (e.g., heart disease) the development of remote monitoring and management tools and techniques for opioid cravings, recovery, and relapse have not kept pace. There is a critical need to design therapy programs that are discreet, accessible, connected, and personalized by supporting those recovering from Opioid Use Disorder (OUD), beyond conventional therapies. This project develops intelligent Pervasive Augmented reaLity therapies (iPAL) - a technology-enabled OUD intervention that aims to help OUD sufferers manage their cravings to reduce their risk for relapse or overdose. iPAL integrates complementary psychotherapies (cognitive behavioral therapy and heart rate variability biofeedback) with immersive technologies (augmented and mixed reality) to offer convenience, discretion in use, in the moment/real-time through personalized strategies. This work is poised to revolutionize how individuals learn, discover, create, and heal in the broader context of developing treatment strategies for those with OUD. The immediate benefit of the developed system will be iPAL, an appliance for helping those with OUD to experience a better quality of life. The proposed framework has translational potential beyond OUD: serving as a mental health support aid for those suffering from other forms of addiction (e.g., smoking and alcohol), suicidal ideation, post-traumatic stress disorder, and/or severe depression. This work is especially relevant to rural areas where people with OUD often have poor access to services. Even when services are available, stigma is a significant barrier to accessing these traditional addiction services.The novel and potentially transformative nature of this project lies in transcending the foundational theoretical understanding and identification of key technological (e.g., augmented, mixed, and virtual reality), neurophysiological (e.g., functional brain activity, heart rate variability, electrodermal activity), and affective determinants (e.g., positive or negative valence and arousal) of immersion that predict OUD patient experience and subsequently intent (e.g., manage cravings). The team focuses on unobtrusive means (e.g., mobile and wearable technology) to collect real-time physiological parameters to discreetly deliver personalized and interactive evidence-based complementary OUD psychotherapies utilizing Artificial Intelligence (AI) algorithms and immersive technology formats. A series of integrated research efforts is undertaken to advance spatial and affective computing science (technology outcomes) and behavioral science (health outcomes) that will contribute to the following intellectual merits: (1) developing an intelligent system to deliver personalized and interactive evidence-based psychotherapies, (2) fundamentally measuring, modeling, and comparing user engagement using neural signatures and physiological and subjective responses across the reality-virtuality continuum, (3) contributing to augmenting traditional OUD interventions using smart and connected immersive reality technologies, (4) determining the level of immersion most suitable as a mobile and real-time personalized therapeutic intervention, and (5) advancing understanding regarding the role that pervasive and personalized immersive technology plays in at-risk populations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

如今，阿片类药物使用障碍和成瘾的特征是全国性的“阿片类药物流行”，现在过量服药是美国受伤死亡的主要原因。尽管与其他慢性疾病（例如心脏病）相比，过去二十年中阿片类药物过量的死亡人数大大增加，但远程监测，管理工具以及针对阿片类药物的渴望，恢复和继电器的技术的发展尚未保持速度。除了传统疗法之外，通过支持从阿片类药物使用障碍（OUD）中恢复过来的人，迫切需要设计谨慎，可访问，连接和个性化的治疗计划。该项目开发出智能普遍的增强现实疗法（IPAL） - 一种支持技术的OUD干预措施，旨在帮助Oud患者管理自己的渴望，以减少救济或过量的风险。 IPAL将完整的心理治疗（认知行为疗法和心率变异性生物反馈）与沉浸式技术（增强和混合现实）相结​​合，以通过个性化策略在时刻/实时策略中提供便利，使用的便利性。这项工作被毒死了，以彻底改变个人在为有OUD制定治疗策略的更广泛的环境中学习，发现，创造和治愈的方式。开发系统的直接利益将是IPAL，它是帮助拥有Oud的人体验更好的生活质量的设备。拟议的框架已将潜力转化为Oud：为那些患有其他形式成瘾（例如吸烟和酒精），自杀思想，创伤后应激障碍和/或严重抑郁症的人提供心理健康支持辅助。这项工作尤其与OUD的人经常无法获得服务的艰难地区有关。 Even when services are available, stigma is a significant barrier to accessing these traditional addiction services.The novel and potentially transformative nature of this project lies in transcending the foundational theoretical understanding and identification of key technical (e.g., augmented, mixed, and virtual reality), neurophysiological (e.g., functional brain activity, heart rate variability, electrodermal activity), and affective determiners (e.g., positive or negative valence and唤醒的）沉浸式，可以预测患者经验并随后意图（例如，管理渴望）。该团队专注于不引人注目的手段（例如，移动和可穿戴技术），以收集实时物理参数，以谨慎地提供使用人工智能（AI）算法和沉浸式技术形式的个性化和互动循证的互补互补的互补的OUD心理治疗。进行了一系列综合研究工作，以提高空间和情感计算科学（技术成果）和行为科学（健康成果），这将有助于以下智力优点：（1）开发一种智力系统来开发一个个性化和互动的基于循证的心理心理，（2）使用神经影响和对象进行跨性别的依据（2）对3.2）进行跨性别的心理疗法，并对3.3的实例进行了响应（3）。 （4）确定最适合作为移动和实时的个性化治疗干预措施的沉浸式水平来增强传统的OUD干预措施，以及（5）促进人们对在智力中的启用nsf offiention deem the Internition the Infortion the Internation deem的宣传，并（5）促进理解的理解。和更广泛的影响审查标准。