HomePal: Developing a Smart Speaker-Based System for In-Home Loneliness Assessment for Older Adults
HomePal:开发基于智能扬声器的系统,用于老年人的家庭孤独评估
基本信息
- 批准号:10725229
- 负责人:
- 金额:$ 19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:AcousticsActivities of Daily LivingAdoptionAgeAlgorithmsAwarenessBehavioralClassificationClinicCommunitiesComputersDataData ReportingDetectionDevicesDigital biomarkerDimensionsEffectivenessElderlyEnrollmentFrequenciesFutureGoalsGrainHealthHealth PersonnelHealthcare SystemsHomeImpaired cognitionIndividualInternet of ThingsInterventionLabelLife ExpectancyLinguisticsLonelinessMeasuresMental HealthMonitorMorbidity - disease rateMusicNamesOutcomePainParticipantPatient Self-ReportPatientsPatternPerformancePopulationPrimary CarePrivacyPublic HealthReportingResearchResolutionRiskRisk FactorsSecuritySleepSocial InteractionSocial Well-BeingSpeechStreamSystemTelephoneTestingTimeTrainingWorkcommunity based servicecommunity partnershipcultural valuesdementia riskdigitaldigital technologyexperiencefunctional declinegenerative adversarial networkimplementation barriersimprovedinnovationinsightinstrumentlonely individualsmachine learning algorithmmachine learning modelmodifiable riskmortalitynovelphysical conditioningpreventrecruitsedentary lifestylesmart speakersocial influencesocial relationshipssocial stigmatherapy designvirtual
项目摘要
Project Abstract
Experiences of loneliness are prevalent among older adults. Loneliness is a painful and pernicious
state occurring when there is a perceived discrepancy between one’s optimal levels of social interactions and
actual social relationships. Given that loneliness has been associated with negative health outcomes, detection
measures are imperative to identify both lonely and at-risk individuals early enough to intervene before adverse
health outcomes occur. However, the assessment of loneliness is challenging due to the stigma of being
labeled as lonely and the lack of integration of loneliness assessments into primary care or community-based
services. To tackle the problem, we will use smart speakers and passive sensing data to automatically assess
older adults’ level of loneliness as correlates of self-report scores on the UCLA Loneliness Scale. Our goal in
this project is to develop, deploy, and validate a smart speaker-based system for in-home loneliness
assessment that integrates Internet of Things (IoT) devices to gather both speech (acoustic and prosodic
features) and behavioral data (e.g., smart speaker use patterns, in-home mobility, sleep) from older adults. We
will enroll 70 individuals (age 65+) living alone in the community to collect digital biomarker data continuously
for 3 months. The specific aims are to: (1) Develop an innovative remote loneliness assessment system that
allows passive and unobtrusive capture of speech and behavioral data in the home setting; (2) Using a train-
test approach, develop and evaluate the performance of novel multi-class machine learning (ML) algorithms—
semi-supervised type of Generative Adversarial Networks (SGANs) — to estimate older adults’ loneliness
scores. The UCLA Loneliness Scale will be completed by participants every two weeks for 3 months to collect
ground truth data; and (3) Identify potential implementation barriers to the effective use of the system among
older adults (n=30). In particular, we will assess potential privacy and security concerns, social influence,
cultural values, and the level of personification of virtual agents that could influence the adoption and use of the
system. The novel ML models will allow us to identify not only “already” lonely individuals but also “at-risk”
individuals. The proposed research seeks to provide preliminary evidence that digital biomarkers from smart
speakers and IoT devices can be used for automatic loneliness assessment in the community. Results from
this study will support our long-term goal of implementing the system longitudinally as a platform for real-time
loneliness assessment and detection. This work will provide an opportunity to examine associations between
digital speech and behavioral data and self-report measures of loneliness to identify modifiable risk factors that
will inform the design of interventions to prevent adverse health impacts of loneliness and improve social well-
being among the older adult population.
项目摘要
孤独感在老年人中很普遍。寂寞是一种痛苦的,
当一个人的最佳社会交往水平与
真正的社会关系。鉴于孤独与负面的健康结果有关,
必须采取措施及早识别孤独和高危人群,以便在不良反应发生之前进行干预。
健康结果发生。然而,对孤独的评估是具有挑战性的,因为被认为是一种耻辱。
标记为孤独和缺乏整合的孤独评估到初级保健或社区为基础的
服务为了解决这个问题,我们将使用智能扬声器和被动传感数据来自动评估
老年人的孤独水平与UCLA孤独量表的自我报告分数相关。我们的目标
该项目旨在开发、部署和验证一种基于智能扬声器的系统,以应对家庭孤独感
集成物联网(IoT)设备以收集语音(声学和韵律)的评估
特征)和行为数据(例如,智能扬声器使用模式、家庭移动性、睡眠)。我们
将招募70名独居社区的个体(65岁以上),以持续收集数字生物标志物数据
3个月具体目标是:(1)开发一个创新的远程孤独评估系统,
允许在家庭环境中被动和不显眼地捕获语音和行为数据;(2)使用训练-
测试方法,开发和评估新型多类机器学习(ML)算法的性能-
半监督型生成对抗网络(SGAN)-估计老年人的孤独感
成绩.参与者将每两周填写一次UCLA孤独量表,持续3个月,
地面实况数据;以及(3)确定有效使用该系统的潜在实施障碍,
老年人(n=30)。特别是,我们将评估潜在的隐私和安全问题,社会影响,
文化价值观,以及虚拟代理人的人格化水平,这可能会影响采用和使用
系统新的机器学习模型将使我们不仅能够识别“已经”孤独的人,而且还能识别“处于危险之中”的人。
个体这项拟议中的研究旨在提供初步证据,证明智能生物标志物
扬声器和物联网设备可用于社区中的自动孤独评估。结果
这项研究将支持我们的长期目标,即纵向实施该系统作为一个实时平台,
孤独感评估和检测。这项工作将提供一个机会,审查之间的联系,
数字语音和行为数据以及孤独感的自我报告措施,以确定可改变的风险因素,
将为干预措施的设计提供信息,以防止孤独对健康的不利影响,并改善社会福祉,
在老年人口中。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jane Chung其他文献
Jane Chung的其他文献
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{{ truncateString('Jane Chung', 18)}}的其他基金
Administrative Supplement: Life-Space and Activity Digital Markers for Detection of Cognitive Decline in Community-Dwelling Older Adults: The RAMS Study
行政补充:用于检测社区老年人认知衰退的生活空间和活动数字标记:RAMS 研究
- 批准号:
10844667 - 财政年份:2023
- 资助金额:
$ 19万 - 项目类别:
Life-Space and Activity Digital Markers for Detection of Cognitive Decline in Community-Dwelling Older Adults: The RAMS Study
用于检测社区老年人认知衰退的生活空间和活动数字标记:RAMS 研究
- 批准号:
10662702 - 财政年份:2023
- 资助金额:
$ 19万 - 项目类别:
Voice2Connect: Informing the Design of Smart Speakers for Social Connectedness in Low-Income Older Adults
Voice2Connect:为低收入老年人提供社交联系的智能扬声器设计
- 批准号:
10264140 - 财政年份:2020
- 资助金额:
$ 19万 - 项目类别:
Voice2Connect: Informing the Design of Smart Speakers for Social Connectedness in Low-Income Older Adults
Voice2Connect:为低收入老年人提供社交联系的智能扬声器设计
- 批准号:
10094326 - 财政年份:2020
- 资助金额:
$ 19万 - 项目类别:
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