scholarly journals Natural Language Processing Tools for Assessing Progress and Outcome of Two Veteran Populations: Cohort Study From a Novel Online Intervention for Posttraumatic Growth

10.2196/17424 ◽  
2020 ◽  
Vol 4 (9) ◽  
pp. e17424
Author(s):  
Kim P Norman ◽  
Anita Govindjee ◽  
Seth R Norman ◽  
Michael Godoy ◽  
Kimberlie L Cerrone ◽  
...  
Keyword(s):  
Personality Traits ◽  
Posttraumatic Growth ◽  
Behavioral Health ◽  
Language Processing ◽  
Personal Values ◽  
Military Veterans ◽  
Online Intervention ◽  
Online Discussions ◽  
Emotional Tone ◽  
Behavioral Health Intervention

Background Over 100 million Americans lack affordable access to behavioral health care. Among these, military veterans are an especially vulnerable population. Military veterans require unique behavioral health services that can address military experiences and challenges transitioning to the civilian sector. Real-world programs to help veterans successfully transition to civilian life must build a sense of community, have the ability to scale, and be able to reach the many veterans who cannot or will not access care. Digitally based behavioral health initiatives have emerged within the past few years to improve this access to care. Our novel behavioral health intervention teaches mindfulness-based cognitive behavioral therapy and narrative therapy using peer support groups as guides, with human-facilitated asynchronous online discussions. Our study applies natural language processing (NLP) analytics to assess effectiveness of our online intervention in order to test whether NLP may provide insights and detect nuances of personal change and growth that are not currently captured by subjective symptom measures. Objective This paper aims to study the value of NLP analytics in assessing progress and outcomes among combat veterans and military sexual assault survivors participating in novel online interventions for posttraumatic growth. Methods IBM Watson and Linguistic Inquiry and Word Count tools were applied to the narrative writings of combat veterans and survivors of military sexual trauma who participated in novel online peer-supported group therapies for posttraumatic growth. Participants watched videos, practiced skills such as mindfulness meditation, told their stories through narrative writing, and participated in asynchronous, facilitated online discussions with peers. The writings, including online postings, by the 16 participants who completed the program were analyzed after completion of the program. Results Our results suggest that NLP can provide valuable insights on shifts in personality traits, personal values, needs, and emotional tone in an evaluation of our novel online behavioral health interventions. Emotional tone analysis demonstrated significant decreases in fear and anxiety, sadness, and disgust, as well as increases in joy. Significant effects were found for personal values and needs, such as needing or desiring closeness and helping others, and for personality traits of openness, conscientiousness, extroversion, agreeableness, and neuroticism (ie, emotional range). Participants also demonstrated increases in authenticity and clout (confidence) of expression. NLP results were generally supported by qualitative observations and analysis, structured data, and course feedback. Conclusions The aggregate of results in our study suggest that our behavioral health intervention was effective and that NLP can provide valuable insights on shifts in personality traits, personal values, and needs, as well as measure changes in emotional tone. NLP’s sensitivity to changes in emotional tone, values, and personality strengths suggests the efficacy of NLP as a leading indicator of treatment progress.

scholarly journals Natural Language Processing Tools for Assessing Progress and Outcome of Two Veteran Populations: Cohort Study From a Novel Online Intervention for Posttraumatic Growth (Preprint)

2019 ◽  
Author(s):  
Kim P Norman ◽  
Anita Govindjee ◽  
Seth R Norman ◽  
Michael Godoy ◽  
Kimberlie L Cerrone ◽  
...  
Keyword(s):  
Personality Traits ◽  
Posttraumatic Growth ◽  
Behavioral Health ◽  
Language Processing ◽  
Personal Values ◽  
Military Veterans ◽  
Online Intervention ◽  
Online Discussions ◽  
Emotional Tone ◽  
Behavioral Health Intervention

BACKGROUND Over 100 million Americans lack affordable access to behavioral health care. Among these, military veterans are an especially vulnerable population. Military veterans require unique behavioral health services that can address military experiences and challenges transitioning to the civilian sector. Real-world programs to help veterans successfully transition to civilian life must build a sense of community, have the ability to scale, and be able to reach the many veterans who cannot or will not access care. Digitally based behavioral health initiatives have emerged within the past few years to improve this access to care. Our novel behavioral health intervention teaches mindfulness-based cognitive behavioral therapy and narrative therapy using peer support groups as guides, with human-facilitated asynchronous online discussions. Our study applies natural language processing (NLP) analytics to assess effectiveness of our online intervention in order to test whether NLP may provide insights and detect nuances of personal change and growth that are not currently captured by subjective symptom measures. OBJECTIVE This paper aims to study the value of NLP analytics in assessing progress and outcomes among combat veterans and military sexual assault survivors participating in novel online interventions for posttraumatic growth. METHODS IBM Watson and Linguistic Inquiry and Word Count tools were applied to the narrative writings of combat veterans and survivors of military sexual trauma who participated in novel online peer-supported group therapies for posttraumatic growth. Participants watched videos, practiced skills such as mindfulness meditation, told their stories through narrative writing, and participated in asynchronous, facilitated online discussions with peers. The writings, including online postings, by the 16 participants who completed the program were analyzed after completion of the program. RESULTS Our results suggest that NLP can provide valuable insights on shifts in personality traits, personal values, needs, and emotional tone in an evaluation of our novel online behavioral health interventions. Emotional tone analysis demonstrated significant decreases in fear and anxiety, sadness, and disgust, as well as increases in joy. Significant effects were found for personal values and needs, such as needing or desiring closeness and helping others, and for personality traits of openness, conscientiousness, extroversion, agreeableness, and neuroticism (ie, emotional range). Participants also demonstrated increases in authenticity and clout (confidence) of expression. NLP results were generally supported by qualitative observations and analysis, structured data, and course feedback. CONCLUSIONS The aggregate of results in our study suggest that our behavioral health intervention was effective and that NLP can provide valuable insights on shifts in personality traits, personal values, and needs, as well as measure changes in emotional tone. NLP’s sensitivity to changes in emotional tone, values, and personality strengths suggests the efficacy of NLP as a leading indicator of treatment progress.

Role of personal values and personality traits on intention to recommend a destination

2020 ◽  
Author(s):  
Arnold Japutra ◽  
Sandra Maria Correia Loureiro ◽  
Shasha Wang
Keyword(s):  
Theory Of Planned Behavior ◽  
Personality Traits ◽  
Planned Behavior ◽  
Personal Values ◽  
Favorable Attitude ◽  
Extended Model ◽  
Extended Theory ◽  
Prosocial Values ◽  
Managerial Implications

In this study, the researchers explore the antecedents of tourists’ intention to recommend a destination using an extended Theory of Planned Behavior (TPB). Two personal values (i.e., prosocial and maturity) and two personality traits (i.e., extraversion and agreeableness), which are rarely studied but important elements for marketers to better understand the market (e.g., segment the market), are examined. To test the extended model of TPB, a survey (n=312) was conducted with tourists in Portugal. The researchers find support for the hypothesis that tourists with higher prosocial values, maturity values, and extraversion personality traits are more likely to have a favorable attitude toward a destination and a tendency to recommend the destination. Theoretical and managerial implications are discussed.

scholarly journals Listener’s personality traits predict changes in pupil size during auditory language comprehension

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Isabell Hubert Lyall ◽  
Juhani Järvikivi
Keyword(s):  
Personality Traits ◽  
Language Processing ◽  
Language Comprehension ◽  
Pupil Size ◽  
Pupil Dilation ◽  
Systematic Research ◽  
Cognitive Resources ◽  
Personality Profiles ◽  
Pupillary Responses ◽  
Grammatical Errors

AbstractResearch suggests that listeners’ comprehension of spoken language is concurrently affected by linguistic and non-linguistic factors, including individual difference factors. However, there is no systematic research on whether general personality traits affect language processing. We correlated 88 native English-speaking participants’ Big-5 traits with their pupillary responses to spoken sentences that included grammatical errors, "He frequently have burgers for dinner"; semantic anomalies, "Dogs sometimes chase teas"; and statements incongruent with gender stereotyped expectations, such as "I sometimes buy my bras at Hudson's Bay", spoken by a male speaker. Generalized additive mixed models showed that the listener's Openness, Extraversion, Agreeableness, and Neuroticism traits modulated resource allocation to the three different types of unexpected stimuli. No personality trait affected changes in pupil size across the board: less open participants showed greater pupil dilation when processing sentences with grammatical errors; and more introverted listeners showed greater pupil dilation in response to both semantic anomalies and socio-cultural clashes. Our study is the first one demonstrating that personality traits systematically modulate listeners’ online language processing. Our results suggest that individuals with different personality profiles exhibit different patterns of the allocation of cognitive resources during real-time language comprehension.

scholarly journals Assessing Parent Decisions About Child Participation in a Behavioral Health Intervention Study and Utility of Informed Consent Forms

2020 ◽  
Vol 3 (7) ◽  
pp. e209296
Author(s):  
Stephanie A. Kraft ◽  
Kathryn M. Porter ◽  
Devan M. Duenas ◽  
Erin Sullivan ◽  
Maya Rowland ◽  
...  
Keyword(s):  
Informed Consent ◽  
Behavioral Health ◽  
Intervention Study ◽  
Health Intervention ◽  
Child Participation ◽  
Consent Forms ◽  
Behavioral Health Intervention ◽  
Parent Decisions

scholarly journals The Efficacy of a Brief Behavioral Health Intervention for Managing High Utilization of ED Services by Chronic Pain Patients

2010 ◽  
Vol 36 (5) ◽  
pp. 399-403 ◽  
Author(s):  
Jonathan Woodhouse ◽  
Mary Peterson ◽  
Clark Campbell ◽  
Kathleen Gathercoal
Keyword(s):  
Chronic Pain ◽  
Behavioral Health ◽  
Health Intervention ◽  
Chronic Pain Patients ◽  
Behavioral Health Intervention ◽  
High Utilization ◽  
Pain Patients

scholarly journals Traits and values as predictors of the frequency of everyday behavior: Comparison between models and levels

2018 ◽  
Vol 40 (1) ◽  
pp. 133-153 ◽  
Author(s):  
Ewa Skimina ◽  
Jan Cieciuch ◽  
Włodzimierz Strus
Keyword(s):  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Personal Values ◽  
Derived Categories ◽  
Higher Order ◽  
Behavioral Factors ◽  
Wide Range ◽  
Age Range ◽  
Hexaco Model

AbstractThe aims of this study were to compare (a) personality traits vs personal values, (b) Five-Factor Model (FFM) vs HEXACO model of personality traits, and (c) broad vs narrow personality constructs in terms of their relationship with the frequency of everyday behaviors. These relationships were analyzed at three organizational levels of self-reported behavior: (a) single behavioral acts, (b) behavioral components (empirically derived categories of similar behaviors), and (c) two higher-order factors. The study was conducted on a Polish sample (N = 532, age range 16–72). We found that (a) even the frequencies of single behavioral acts were related to various personality constructs instead of one narrow trait or value, (b) personality traits and personal values were comparable as predictors of a wide range of everyday behaviors, (c) HEXACO correlated with the frequency of behaviors slightly higher than FFM, and (d) narrow and broad personality constructs did not differ substantially as predictors of everyday behavior at the levels of acts and components, but at the level of higher-order behavioral factors, broad personality measures were better predictors than narrow ones.

scholarly journals Development, Feasibility, Acceptability, and Utility of an Expressive Speech-Enabled Digital Health Agent to Deliver Online, Brief Motivational Interviewing for Alcohol Misuse: Descriptive Study

10.2196/25837 ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. e25837
Author(s):  
Maya Boustani ◽  
Stephanie Lunn ◽  
Ubbo Visser ◽  
Christine Lisetti
Keyword(s):  
Alcohol Use ◽  
Behavioral Health ◽  
Digital Health ◽  
Health Intervention ◽  
The Internet ◽  
Conversational Agents ◽  
Promising Alternative ◽  
Expressive Speech ◽  
3 Dimensional ◽  
Behavioral Health Intervention

Background Digital health agents — embodied conversational agents designed specifically for health interventions — provide a promising alternative or supplement to behavioral health services by reducing barriers to access to care. Objective Our goals were to (1) develop an expressive, speech-enabled digital health agent operating in a 3-dimensional virtual environment to deliver a brief behavioral health intervention over the internet to reduce alcohol use and to (2) understand its acceptability, feasibility, and utility with its end users. Methods We developed an expressive, speech-enabled digital health agent with facial expressions and body gestures operating in a 3-dimensional virtual office and able to deliver a brief behavioral health intervention over the internet to reduce alcohol use. We then asked 51 alcohol users to report on the digital health agent acceptability, feasibility, and utility. Results The developed digital health agent uses speech recognition and a model of empathetic verbal and nonverbal behaviors to engage the user, and its performance enabled it to successfully deliver a brief behavioral health intervention over the internet to reduce alcohol use. Descriptive statistics indicated that participants had overwhelmingly positive experiences with the digital health agent, including engagement with the technology, acceptance, perceived utility, and intent to use the technology. Illustrative qualitative quotes provided further insight about the potential reach and impact of digital health agents in behavioral health care. Conclusions Web-delivered interventions delivered by expressive, speech-enabled digital health agents may provide an exciting complement or alternative to traditional one-on-one treatment. They may be especially helpful for hard-to-reach communities with behavioral workforce shortages.

LONGITUDINAL COURSE OF POSTTRAUMATIC GROWTH AMONG U.S. MILITARY VETERANS: RESULTS FROM THE NATIONAL HEALTH AND RESILIENCE IN VETERANS STUDY

2015 ◽  
Vol 33 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Jack Tsai ◽  
Lauren M. Sippel ◽  
Natalie Mota ◽  
Steven M. Southwick ◽  
Robert H. Pietrzak
Keyword(s):  
Posttraumatic Growth ◽  
National Health ◽  
Military Veterans ◽  
Longitudinal Course

scholarly journals How Does Household Income Affect Child Personality Traits and Behaviors?

2018 ◽  
Vol 108 (3) ◽  
pp. 775-827 ◽  
Author(s):  
Randall Akee ◽  
William Copeland ◽  
E. Jane Costello ◽  
Emilia Simeonova
Keyword(s):  
Longitudinal Data ◽  
Personality Traits ◽  
Behavioral Health ◽  
Household Income ◽  
Potential Mechanism ◽  
Income Transfer ◽  
Parental Relationships ◽  
Beneficial Effects ◽  
Quasi Experimental ◽  
Emotional And Behavioral Health

We examine the effects of a quasi-experimental unconditional household income transfer on child emotional and behavioral health and personality traits. Using longitudinal data, we find that there are large beneficial effects on children's emotional and behavioral health and personality traits during adolescence. We find evidence that these effects are most pronounced for children who start out with the lowest initial endowments. The income intervention also results in improvements in parental relationships which we interpret as a potential mechanism behind our findings. (JEL D14, I12, I26, I31, I38, J13, J15)

Dynamic interplay between PTSD symptoms and posttraumatic growth in older military veterans

2020 ◽  
Vol 269 ◽  
pp. 185-191 ◽  
Author(s):  
Julia M. Whealin ◽  
Barbara Pitts ◽  
Jack Tsai ◽  
Caleb Rivera ◽  
Brienna M. Fogle ◽  
...  
Keyword(s):  
Posttraumatic Growth ◽  
Military Veterans ◽  
Ptsd Symptoms ◽  
Dynamic Interplay
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