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OBJECTIVE: Seminal advances in virtual human (VH) technology have introduced highly interactive, computer-animated VH interviewers. Their utility for aiding in chronic pain care is unknown. We developed three interactive telehealth VH interviews-a standard pain-focused, a psychosocial risk factor, and a pain psychology and neuroscience educational interview. We then conducted a preliminary investigation of their feasibility, acceptability, and efficacy. We also experimentally compared a human and a computer-generated VH voice. METHODS: Patients ( N = 94, age = 22-78 years) with chronic musculoskeletal pain were randomly assigned to the standard ( n = 31), psychosocial ( n = 34), or educational ( n = 29) VH interview and one of the two VH voices. Acceptability ratings included patient satisfaction and expectations/evaluations of the VH interview. Outcomes assessed at baseline and about 1-month postinterview were pain intensity, interference, emotional distress, pain catastrophizing, and readiness for pain self-management. Linear mixed-effects models were used to test between- and within-condition effects. RESULTS: Acceptability ratings showed that satisfaction with the VH and telehealth format was generally high, with no condition differences. Study attrition was low ( n = 5). Intent-to-treat-analyses showed that, compared with the standard interview, the psychosocial interview yielded a significantly greater reduction in pain interference ( p = .049, d = 0.43) and a marginally greater reduction in pain intensity ( p = .054, d = 0.36), whereas the educational interview led to a marginally greater yet nonsignificant increase in readiness for change ( p = .095, d = 0.24), as well as several significant improvements within-condition. Results did not differ by VH voice. CONCLUSIONS: Interactive VH interviewers hold promise for improving chronic pain care, including probing for psychosocial risk factors and providing pain-related education.
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Dor Crônica , Humanos , Adulto Jovem , Adulto , Pessoa de Meia-Idade , Idoso , Dor Crônica/terapia , Dor Crônica/psicologia , Estudos de Viabilidade , Projetos Piloto , Satisfação do Paciente , CatastrofizaçãoRESUMO
BACKGROUND: Continuous exposure to extreme and chronic stress from uncontrollable events has been linked to increased psychological and physiological reactivity. Prolonged, frequent deployments may test coping skills over time, ultimately rendering Servicemembers vulnerable to mental health problems and suicide. This study develops a methodology for accurately collecting holistic health measures from Servicemembers using digital tools, including custom-built phone software and body-worn sensors. METHODS: The secure research platform and mobile app continuously collect multiple health measures and, after data analysis, deliver continuously updated summary data back to the Servicemember. This system provides novel insights into the relationships between the measures while helping individuals track their progress toward self-established goals. Participants were given an iPhone (including the study app) and an Apple Watch. Participants tracked their data for more than 6 months and responded to baseline, daily, and weekly questions and assessments. Physiologic, psychologic, and cognitive assessment data across the Preservation of the Force and Family program (POTFF) domains were collected, displayed to the individual, and analyzed in aggregate. RESULTS: When coupled with custom-built software, this hardware can be elevated from a fitness tracker to a user-facing health monitoring, educational, and delivery system. CONCLUSION: This wearable system measured vital factors associated with the health and human performance of Servicemembers. In real-time, it engaged Servicemembers in health and human performance optimization practices to achieve a goal of prevention of physical or mental injury.
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Militares , Aplicativos Móveis , Humanos , Militares/psicologia , Masculino , Adulto , Feminino , Saúde Mental , Software , Adulto Jovem , Estresse Psicológico , Monitores de Aptidão FísicaRESUMO
The ability to obtain dynamic movement assessments using force plate technology holds the promise of providing more detailed knowledge of the strength, balance and forces generated by active-duty military personnel. To date, there are not well-defined use cases for implementation of force plate assessments in military training environments. We sought to determine if force plate technology assessments could provide additional insights, related to the likelihood of graduation, beyond that provided by traditional physical fitness tests (PFT's), in an elite Marine training school. Serial force plate measures were also obtained on those Marines successfully completing training to determine if consistent measures reflecting the effects of training on muscle skeletal load-over-time could be accurately measured. A pre-training force plate assessment performed in 112 Marines did not predict graduation rates. For Marines who successfully completed the course, serial measures obtained throughout training were highly variable for each individual and no firm conclusions could be drawn related to load imposed or the fitness attained during training.
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Nonverbal behaviors play a crucial role in shaping outcomes in face-to-face clinical interactions. Experienced clinicians use nonverbals to foster rapport and "read" their clients to inform diagnoses. The rise of telemedicine and virtual health agents creates new opportunities, but it also strips away much of this nonverbal channel. Recent advances in low-cost computer vision and sensing technologies have the potential to address this challenge by learning to recognize nonverbal cues from large datasets of clinical interactions. These techniques can enhance both telemedicine and the emerging technology of virtual health agents. This article describes our current research in addressing these challenges in the domain of PTSD and depression screening for U.S. Veterans. We describe our general approach and report on our initial contribution: the creation of a large dataset of clinical interview data that facilitates the training of user-state sensing technology.
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Diagnóstico por Computador/métodos , Sistemas Inteligentes , Anamnese/métodos , Transtornos Mentais/diagnóstico , Comunicação não Verbal , Telemedicina/métodos , Interface Usuário-Computador , Humanos , Relações Médico-PacienteRESUMO
While some theoretical perspectives imply that the context of a virtual training should be customized to match the intended context where those skills would ultimately be applied, others suggest this might not be necessary for learning. It is important to determine whether manipulating context matters for performance in training applications because customized virtual training systems made for specific use cases are more costly than generic "off-the-shelf" ones designed for a broader set of users. Accordingly, we report a study where military cadets use a virtual platform to practice their negotiation skills, and are randomly assigned to one of two virtual context conditions: military versus civilian. Out of 28 measures capturing performance in the negotiation, there was only one significant result: cadets in the civilian condition politely ask the agent to make an offer significantly more than those in the military condition. These results imply that-for this interpersonal skills application, and perhaps ones like it-virtual context may matter very little for performance during social skills training, and that commercial systems may yield real benefits to military scenarios with little-to-no modification.
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Aprendizagem , Militares , Habilidades Sociais , Interface Usuário-Computador , Militares/educação , Militares/psicologia , Humanos , Distribuição AleatóriaRESUMO
The role of US Special Operations Forces (SOF) globally has expanded greatly in the past 20 years, leaving SOF serving multiple deployments with little time or ability to recover in between. Currently, assessments of the health and human performance capabilities of these individuals are episodic, precluding an accurate assessment of physical and mental load over time, and leading to high rates of acute and chronic injury to the mind and body. The collection of personal health-related continuous datasets has recently been made feasible with the advancement of digital technologies. These comprehensive data allow for improved assessment, and consequently better results, partly due to the warfighters' real-time access to their data. Such information allows Soldiers to engage in their own health optimization. This article describes a research platform that allows for collection of data via a custom-made secure mobile application that extends the type, scope, and frequency of data collection beyond what is feasible during an in-person encounter. By digitizing existing assessments and by incorporating additional physical, neurocognitive, psychological, and lifestyle assessments, the platform provides individuals with the ability to better understand their mental and physical load, as well as reserve. The results of this interactive exchange may help to preserve the health of users as well as the stability and readiness of units.