A5074961334- Digital Mental Health Interventions
- Health Literacy and Information Accessibility
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Mobile Health and mHealth Applications
- Dementia and Cognitive Impairment Research
- Social Media in Health Education
- Health Systems, Economic Evaluations, Quality of Life
- Focus Groups and Qualitative Methods
- BRCA gene mutations in cancer
- Genomics and Rare Diseases
- Technology Use by Older Adults
- Smoking Behavior and Cessation
- Impact of Technology on Adolescents
- Mobile Crowdsensing and Crowdsourcing
- Health Policy Implementation Science
- Data-Driven Disease Surveillance
- Mental Health via Writing
- Information Retrieval and Search Behavior
- Ethics in Clinical Research
- Mental Health and Patient Involvement
- Data Visualization and Analytics
- Advanced Biosensing Techniques and Applications
- Mental Health Research Topics
- Child and Animal Learning Development
- Digital Humanities and Scholarship
University of Washington
2016-2025
University of Washington Medical Center
2018-2024
Frederick S. Pardee RAND Graduate School
2024
Union University
2022-2024
Columbia University
2024
RAND Corporation
2024
Methodist Hospital
2024
Cornell University
2024
John Wiley & Sons (United States)
2017-2023
Stanford University
2021-2023
AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and adaptable to wide range downstream tasks. We call these foundation underscore their critically central yet incomplete character. This report provides thorough account opportunities risks models, ranging from capabilities language, vision, robotics, reasoning, human interaction) technical principles(e.g., model architectures, training procedures, data, systems,...
Abstract Conflicting health information is increasing in amount and visibility, as evidenced most recently by the controversy surrounding risks benefits of childhood vaccinations. The mechanisms through which conflicting affects individuals are poorly understood; thus, we unprepared to help people process when making important decisions. In this viewpoint article, describe problem, summarize insights from existing literature on prevalence effects information, identify knowledge gaps. We...
The rise in popularity of electronic cigarettes (e-cigarettes) and hookah over recent years has been accompanied by some confusion uncertainty regarding the development an appropriate regulatory response towards these emerging products. Mining online discussion content can lead to insights into people's experiences, which turn further our knowledge how address potential health implications. In this work, we take a novel approach understanding use appeal products applying text mining...
Digital interventions offer great promise for supporting health-related behavior change. However, there is much that we have yet to learn about how people respond them. In this study, present a novel mixed-methods approach analysis of the complex and rich data digital collect. We perform secondary IntelliCare, an intervention in which participants are able try 14 different mental health apps over course eight weeks. The goal our characterize users' app use experiences, rooted theoretical...
Recent work in visual representation learning for robotics demonstrates the viability of from large video datasets humans performing everyday tasks.Leveraging methods such as masked autoencoding and contrastive learning, these representations exhibit strong transfer to policy visuomotor control.But, robot encompasses a diverse set problems beyond control including grasp affordance prediction, language-conditioned imitation intent scoring human-robot collaboration, amongst others.First, we...
This pilot study evaluated a web-based intervention, guided by problem-solving therapy, to address challenges faced caregivers of individuals with Lewy body dementia (LBD). A quasi-experimental single-arm was conducted 39 family (mean age: 67.62 years; 69% women; 95% White). The 8-week program, Virtual Online Communities for Aging Life Experiences Body Dementia (VOCALE LBD), included discussion platform, peer support, training, and practice. Measurements were taken at baseline,...
Introduction. In this paper, we advocate for the development of holistic approaches, theories, and frameworks recasting study information use as a dynamic, emergent process. Method. We begin by reviewing LIS literature on to demonstrate limitations information-theoretical perspectives. exemplar scenario digital collections need open-ended, qualitative approaches studying in context its use. Results. introduce conceptual approach called ‘information-as-potentiality’ articulate set four...
Background Existing literature shows that persons with substance use disorder (SUD) experience different stages of readiness to reduce or abstain from use, and tailoring intervention change strategies these may facilitate recovery. Moreover, stigma serve as a barrier recovery by preventing SUDs seeking treatment. In recent years, the behavior technique (BCT) taxonomy has increasingly become useful for identifying potential efficacious components; however, prior not addressed extent which...
In 2007, Teledyne presented and subsequently published an empirically derived formula, known as "Rule 07", for the dark current performance of Mercury Cadmium Telluride (HgCdTe) P-on-n diodes. The Rule 07 metric has become widely popular within infrared community, not only a basis predicting HgCdTe detector system performance, but "number to beat" other technologies, notably III-V nBn strained-layer superlattice (SLS) devices. For materials that have sufficiently long recombination...
We are motivated by the goal of generalist robots that can complete a wide range tasks across many environments.Critical to this is robot's ability acquire some metric task success or reward, which necessary for reinforcement learning, planning, knowing when ask help.For general-purpose robot operating in real world, reward function must also be able generalize broadly environments, tasks, and objects, while depending only on on-board sensor observations (e.g.RGB images).While deep learning...
Humans often communicate using body movements like winks, waves, and nods. However, it is unclear how we identify when someone's physical actions are communicative. Given people's propensity to interpret each other's behavior as aimed produce changes in the world, hypothesize that people expect communicative efficiently reveal they lack an external goal. Using computational models of goal inference, predict unlikely be produced acting towards world and, particular, repetitive ought seen We...
Effective communication entails the strategic presentation of information; good communicators present representative information to their listeners—information that is both consistent with concept being communicated and also unlikely support another a listener might consider. The study examined whether preschool-age children effectively select manipulate others' semantic knowledge, by testing how choose teach or deceive listeners. Results indicate preschoolers indeed meet some specific...
Over the course of a chronic illness, patients face many challenges, including understanding what is happening to them and developing an effective strategy for managing illness. While there existing literature concerning how people seek health-related information cope with illnesses, need additional research on affects patients' understandings their changes in this affect health management strategies over time.This study examined management, seeking, consumption use processes are related...
Population screening for genetic risk of adult-onset preventable conditions has been proposed as an attractive public health intervention. Screening unselected individuals can identify many who will not be identified through current testing guidelines.We sought to evaluate enrollment in and diagnostic yield population a resource-limited setting among diverse population. We developed low-cost, short-read next-generation sequencing panel 25 genes that had 98.4% sensitivity 99.98% specificity...
Abstract Digital health interventions (DHIs) can facilitate positive outcomes. User engagement (UE) plays an important role in DHI efficacy. Yet, DHIs vary functionality, design and intended outcomes, underscoring the importance of incremental, user-centred to understand specific settings. This study explores relationship between user implementation three iterations, or rounds, a unique, multi-week asynchronous intervention that leverages online discussion problem-solving therapy (PST). The...