Infectious Diseases Society of America.

This study suggests that there are sex differences in vocational attitude maturity. In the four-school stratified sample of eleventh grade boys and girls studied, the girls scored significantly higher than the boys in vocational attitude. No sex differences in overall level of self-esteem, as measured by the Tennessee Self-Concept Scale, were found. For both sexes a significant relationship between the over all level of self-esteem and vocational attitude maturity was indicated, with the relationship being higher for males than for females. The self-concept variables of self-satisfaction, family, and moral-ethical self were found to contribute to the vocational attitude maturity of males. For females, the self-concept variables of identity and moral-ethical self contributed to their vocational attitude maturity.

Sex Differences in

羟氨苄青霉素引起大疱性类天疱疮样疹

The aim of this review paper is to summarize recent developments in the field of wearable sensors and systems that are relevant to the field of rehabilitation. The growing body of work focused on the application of wearable technology to monitor older adults and subjects with chronic conditions in the home and community settings justifies the emphasis of this review paper on summarizing clinical applications of wearable technology currently undergoing assessment rather than describing the development of new wearable sensors and systems. A short description of key enabling technologies (i.e. sensor technology, communication technology, and data analysis techniques) that have allowed researchers to implement wearable systems is followed by a detailed description of major areas of application of wearable technology. Applications described in this review paper include those that focus on health and wellness, safety, home rehabilitation, assessment of treatment efficacy, and early detection of disorders. The integration of wearable and ambient sensors is discussed in the context of achieving home monitoring of older adults and subjects with chronic conditions. Future work required to advance the field toward clinical deployment of wearable sensors and systems is discussed.

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A review of wearable sensors and systems with application in rehabilitation.

(1991). Applied Linear Regression Models. Journal of Quality Technology: Vol. 23, No. 1, pp. 76-77.

Applied Linear Regression Models

SimSensei is a Virtual Human (VH) interviewing platform that uses off-the-shelf sensors (i.e., webcams, Microsoft Kinect and a microphone) to capture and interpret real-time audiovisual behavioral signals from users interacting with the VH system. The system was specifically designed for clinical interviewing and health care support by providing a face-to-face interaction between a user and a VH that can automatically react to the inferred state of the user through analysis of behavioral signals gleaned from the user's facial expressions, body gestures and vocal parameters. Akin to how non-verbal behavioral signals have an impact on human-to-human interaction and communication, SimSensei aims to capture and infer user state from signals generated from user non-verbal communication to improve engagement between a VH and a user and to quantify user state from the data captured across a 20 minute interview. Results from of sample of service members (SMs) who were interviewed before and after a deployment to Afghanistan indicate that SMs reveal more PTSD symptoms to the VH than they report on the Post Deployment Health Assessment. Pre/Post deployment facial expression analysis indicated more sad expressions and few happy expressions at post deployment.

Automatic Behavior Analysis During a Clinical Interview with a Virtual Human.

We present a versatile system for training job interviewing skills that focuses specifically on segments of the population facing increased challenges during the job application process. In particular, we target those with Autism Spectrum Disorder (ADS), veterans transitioning to civilian life, and former convicts integrating back into society. The system itself follows the SAIBA framework and contains several interviewer characters, who each represent a different type of vocational field, (e.g. service industry, retail, office, etc.) Each interviewer can be set to one of three conversational modes, which not only affects what they say and how they say it, but also their supporting body language. This approach offers varying difficulties, allowing users to start practicing with interviewers who are more encouraging and accommodating before moving on to personalities that are more direct and indifferent. Finally, the user can place the interviewers in different environmental settings (e.g. conference room, restaurant, executive office, etc.), allowing for many different combinations in which to practice.

Virtual Job Interviewing Practice for High-Anxiety Populations

Although schools commonly make use of standardized patients to teach interview skills, the diversity of the scenarios standardized patients can characterize is limited by availability of human actors. Virtual Human Agent technology has evolved to a point where researchers may begin developing mental health applications that make use of virtual reality patients. The work presented here is a preliminary attempt at what we believe to be a large application area. Herein we describe an ongoing study of our virtual patients. We present an approach that allows novice mental health clinicians to conduct an interview with virtual character that emulates 1) an adolescent male with conduct disorder; and 2) an adolescent female who has recently been physically traumatized.

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Virtual Human Patients for Training of Clinical Interview and Communication Skills

Conversational virtual human (VH) agents are increasingly used to support role-play experiential learning. This project examined whether a Virtual Interactive Training Agent (ViTA) system would improve job interviewing skills in individuals with autism and developmental disabilities (N = 32). A linear mixed model was employed to evaluate adjusted least square mean differences of means scores on the Marino Interview Assessment Scale (MIAS) across different time points. The mean score of MIAS over all questions increased between the first ViTA session and the final face-to-face interview. Participants developed the ability to identify strengths, self-promote, self-advocate, answer situational questions, and respond to behavioral/social questions as measured by multiple evaluations using the MIAS.

Using Virtual Interactive Training Agents (VITA) with Adults with Autism and other Developmental Disabilities

Differential diagnosis and treatment of neuropsychological disorders require assessments that can differentiate overlapping symptoms. Previous research has most often relied on paper-and-pencil as well as computerized psychometric tests of cognitive functions. Although these approaches provide highly systematic control and delivery of performance challenges, they have also been criticized as limited in the area of ecological validity. A possible answer to the problems of ecological validity in assessment of cognitive functioning in neurological populations is to immerse the participant in a virtual environment. This chapter reviews the potential of various virtual classroom environments that have been developed for neuropsychological assessment.

Albert Rizzo

Papers

Automatic Behavior Analysis During a Clinical Interview with a Virtual Human.

Virtual Job Interviewing Practice for High-Anxiety Populations

Virtual Human Patients for Training of Clinical Interview and Communication Skills

Using Virtual Interactive Training Agents (VITA) with Adults with Autism and other Developmental Disabilities

A Review of Virtual Classroom Environments for Neuropsychological Assessment