ORCID Profile
0000-0002-6178-3825
Current Organisation
Western Sydney University
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Publisher: JMIR Publications Inc.
Date: 21-06-2022
DOI: 10.2196/33036
Abstract: Australians living in rural and remote areas are at elevated risk of mental health problems and must overcome barriers to help seeking, such as poor access, stigma, and entrenched stoicism. e-Mental health services circumvent such barriers using technology, and text-based services are particularly well suited to clients concerned with privacy and self-presentation. They allow the client to reflect on the therapy session after it has ended as the chat log is stored on their device. The text also offers researchers an opportunity to analyze language use patterns and explore how these relate to mental health status. In this project, we investigated whether computational linguistic techniques can be applied to text-based communications with the goal of identifying a client’s mental health status. Client-therapist text messages were analyzed using the Linguistic Inquiry and Word Count tool. We examined whether the resulting word counts related to the participants’ presenting problems or their self-ratings of mental health at the completion of counseling. The results confirmed that word use patterns could be used to differentiate whether a client had one of the top 3 presenting problems (depression, anxiety, or stress) and, prospectively, to predict their self-rated mental health after counseling had been completed. These findings suggest that language use patterns are useful for both researchers and clinicians trying to identify in iduals at risk of mental health problems, with potential applications in screening and targeted intervention.
Publisher: University of Warsaw
Date: 26-06-2023
Publisher: JMIR Publications Inc.
Date: 24-02-2021
DOI: 10.2196/19478
Abstract: People living in rural and remote areas have poorer access to mental health services than those living in cities. They are also less likely to seek help because of self-stigma and entrenched stoic beliefs about help seeking as a sign of weakness. E-mental health services can span great distances to reach those in need and offer a degree of privacy and anonymity exceeding that of traditional face-to-face counseling and open up possibilities for identifying at-risk in iduals for targeted intervention. This scoping review maps the research that has explored text-based e-mental health counseling services and studies that have used language use patterns to predict mental health status. In doing so, one of the aims was to determine whether text-based counseling services have the potential to circumvent the barriers faced by clients in rural and remote communities using technology and whether text-based communications, in particular, can be used to identify in iduals at risk of psychological distress or self-harm. We conducted a comprehensive electronic literature search of PsycINFO, PubMed, ERIC, and Web of Science databases for articles published in English through November 2020. Of the 9134 articles screened, 70 met the eligibility criteria and were included in the review. There is preliminary evidence to suggest that text-based, real-time communication with a qualified therapist is an effective form of e-mental health service delivery, particularly for in iduals concerned with stigma and confidentiality. There is also converging evidence that text-based communications that have been analyzed using computational linguistic techniques can be used to accurately predict progress during treatment and identify in iduals at risk of serious mental health conditions and suicide. This review reveals a clear need for intensified research into the extent to which text-based counseling (and predictive models using modern computational linguistics tools) may help deliver mental health treatments to underserved groups such as regional communities, identify at-risk in iduals for targeted intervention, and predict progress during treatment. Such approaches have implications for policy development to improve intervention accessibility in at-risk and underserved populations.
Publisher: JMIR Publications Inc.
Date: 19-04-2020
Abstract: eople living in rural and remote areas have poorer access to mental health services than those living in cities. They are also less likely to seek help because of self-stigma and entrenched stoic beliefs about help seeking as a sign of weakness. E-mental health services can span great distances to reach those in need and offer a degree of privacy and anonymity exceeding that of traditional face-to-face counseling and open up possibilities for identifying at-risk in iduals for targeted intervention. his scoping review maps the research that has explored text-based e-mental health counseling services and studies that have used language use patterns to predict mental health status. In doing so, one of the aims was to determine whether text-based counseling services have the potential to circumvent the barriers faced by clients in rural and remote communities using technology and whether text-based communications, in particular, can be used to identify in iduals at risk of psychological distress or self-harm. e conducted a comprehensive electronic literature search of PsycINFO, PubMed, ERIC, and Web of Science databases for articles published in English through November 2020. f the 9134 articles screened, 70 met the eligibility criteria and were included in the review. There is preliminary evidence to suggest that text-based, real-time communication with a qualified therapist is an effective form of e-mental health service delivery, particularly for in iduals concerned with stigma and confidentiality. There is also converging evidence that text-based communications that have been analyzed using computational linguistic techniques can be used to accurately predict progress during treatment and identify in iduals at risk of serious mental health conditions and suicide. his review reveals a clear need for intensified research into the extent to which text-based counseling (and predictive models using modern computational linguistics tools) may help deliver mental health treatments to underserved groups such as regional communities, identify at-risk in iduals for targeted intervention, and predict progress during treatment. Such approaches have implications for policy development to improve intervention accessibility in at-risk and underserved populations. >
Publisher: Elsevier BV
Date: 03-2015
Publisher: Pontifical Catholic University of Sao Paulo (PUC-SP)
Date: 26-10-2020
DOI: 10.23925/2318-7115.2020V41I3A5
Abstract: Understanding aviation communication has obvious implications for flight safety and for the training of pilots and Air Traffic Controllers (ATCs). Its study also sheds light on the use of Aviation English as a type of English for a very specific purpose and on real-world communication constraints in a high-stakes environment. We present results from a study combining human factors and linguistics, in which pilots were recorded in flight simulator experiments probing communication accuracy under erse conditions. An analysis of the audio recordings in terms of whether errors were omissions or mistakes, whether errors occurred with words or numerals, and which types of aviation information were affected, revealed complex interactions between language background, pilot qualification, workload and ATC speech rate. The differences between native English speakers (NES) and non-native English speakers (NNES) are complex and more nuanced than might be expected. These results not only are relevant for aviation safety, training and testing, but they also provide insights on communication under challenging conditions and on the relation between language proficiency and cognition, with implications for second language teaching and the use of English for Specific Purposes (ESP) in highly constrained environments.
Publisher: JMIR Publications Inc.
Date: 19-08-2021
Abstract: ustralians living in rural and remote areas are at elevated risk of mental health problems and must overcome barriers to help seeking, such as poor access, stigma, and entrenched stoicism. e-Mental health services circumvent such barriers using technology, and text-based services are particularly well suited to clients concerned with privacy and self-presentation. They allow the client to reflect on the therapy session after it has ended as the chat log is stored on their device. The text also offers researchers an opportunity to analyze language use patterns and explore how these relate to mental health status. n this project, we investigated whether computational linguistic techniques can be applied to text-based communications with the goal of identifying a client’s mental health status. lient-therapist text messages were analyzed using the Linguistic Inquiry and Word Count tool. We examined whether the resulting word counts related to the participants’ presenting problems or their self-ratings of mental health at the completion of counseling. he results confirmed that word use patterns could be used to differentiate whether a client had one of the top 3 presenting problems (depression, anxiety, or stress) and, prospectively, to predict their self-rated mental health after counseling had been completed. hese findings suggest that language use patterns are useful for both researchers and clinicians trying to identify in iduals at risk of mental health problems, with potential applications in screening and targeted intervention.
No related grants have been discovered for Dominique Estival.