4 results
18 Improving Job Interview Skills in Autistic Youth Using a Combined Intervention Approach Inspired by Positive Psychology
- Helen M Genova, Mikayla Haas, Heba Elsayed, Michael Dacanay, Lauren Hendrix, John DeLuca
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 627-628
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Objective:
Nearly 85% of adults on the autism spectrum are unemployed, although nearly 70% of those who are unemployed express a desire and willingness to work. The job interview has been identified as a significant obstacle to obtaining employment by young adults on the spectrum. A growing field of research has been focused on evaluating innovative training tools to improve interview skills. Our previous work shows that a virtual reality job interview training (VR-JIT) tool improves certain job interview skills (such as sounding professional, establishing rapport), but does not improve the ability to speak about personal strengths and abilities. The current study combined VR-JIT with a new training tool: Kessler Foundation Strength Identification and Expression (KF-STRIDE), an intervention grounded in principles of positive psychology. KF-STRIDE targets identification of personal character strengths and expressing those strengths to employers in a socially appropriate way.
Participants and Methods:The current study evaluated data from 20 autistic youth, randomized to an experimental group (n=10) and a services-as-usual (SAU) control group (n=10). Those in the experimental group participated in a 12 session intervention (9 sessions using VR-JIT and 3 sessions in KF-STRIDE). Each session was roughly one hour. Job interview performance was assessed by video-recorded mock job interviews rated by blinded assessors pre- and post- the intervention. Paired samples t-tests were conducted to examine differences in job interview skills from baseline to follow up in both groups.
Results:The intervention group showed a significant improvement from baseline to follow-up in job interview skills in general (p = .004), and specifically sharing strengths about themselves to a future employer (p = .004). No significant differences were seen from baseline to follow-up in the SAU group. Conclusions: Individuals on the autism spectrum are significantly underemployed, which negatively impacts one’s ability to lead an independent life. Two innovative tools: VR-JIT and KF-STRIDE successfully improved job interview skills, including the ability to identify and express personal strengths. These findings indicate that these combined tools may help to improve employment skills for individuals on the autism spectrum.
20 Using Automated Sentiment Analysis to Examine Self-Evaluation in Youth with Autism Spectrum Disorder
- Jacob D Gronemeyer, Mikayla Haas, Heba Elsayed, Michael Dacanay, Helen Genova
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, p. 629
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Objective:
Individuals diagnosed with autism spectrum disorder (ASD) experience negative self-evaluation, indicated by low levels of self-esteem and describing themselves more negatively to others. Variations in reading comprehension, difficulty identifying emotions, and masking (camouflaging of autistic traits) make it difficult to accurately measure self-evaluation of individuals with ASD using subjective self-report scales such as the Rosenburg Self-Esteem Scale. Therefore, it is important to explore more objective methods of measuring self-evaluation in ASD. Sentiment analysis is a popular Natural Language Processing (NLP) technique used to quantify the emotional content of language programmatically by automatically transforming text into a data frame of words represented as individual values or tokens. Each token can then be categorized as positive or negative with a sentiment dictionary. The current study aims to investigate an automated sentiment analysis approach to evaluate self-evaluation by quantifying implicit linguistic affective valence of ASD participants' verbal self-describing statements in a naturalistic setting. Specifically, we evaluated the frequency of positive or negative words used during a mock job interview in which individuals with ASD were asked to describe themselves. We then examined the relationship between positive and negative word usage and standard self-report measures of self-evaluation.
Participants and Methods:Twenty-four young adults with ASD were included in this study with an age range of 15-24 and a mean age of 19.2 years. Participants completed a battery of assessments including a mock job interview in which they were asked to describe themselves as a measure of implicit self-esteem. Self-esteem and knowledge of personal strengths was assessed using the Rosenberg Self-Esteem Scale and Strengths Knowledge Scale, respectively. Interview transcripts were automatically transformed into word token data frames using the tidytext package in Rstudio. Frequencies of positive and negative words were calculated and their ratio to total word count was used to measure the implicit positivity and negativity of transcripts.
Results:There was a significant negative correlation between the frequency of negative sentiment in transcripts and measure on the Rosenburg Self-Esteem Scale (r = -.376, p = .035) and the Strengths Knowledge Scale (r = -.387, p = .031) indicating that individuals with higher self-esteem and knowledge of their strengths used fewer negative words when talking during a mock interview.
Conclusions:While our results are preliminary, this pilot study represents the first to use automated sentiment analysis to study self-evaluation in individuals with ASD. The use of this technique on natural linguistic data collected through a mock job interview allows researchers to quantitatively analyze the emotionality of transcriptions and create insights that would otherwise be unavailable using more subjective qualitative techniques. Limited research into self-evaluation in this population has yielded inconsistent results, relying too heavily upon qualitative or self-report measures. The ability to programmatically quantify affective valence in transcripts is a time and cost-effective technique for improving validity of future measures of self-evaluation.
17 Studying the Use of Politeness in Employment Specific Scenarios in Youth with Autism Spectrum Disorder.
- Heba E Elsayed, Peter Meulenbroek, Zuzanna Myszko, Jacob Gronemeyer, Helen M Genova
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 626-627
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Objective:
Employment is crucial in the lives of adults with Autism Spectrum Disorder (ASD) as gainful occupational activity creates opportunities to form meaningful social relationships, participate in community life, and become financially independent. Impairments in pragmatic language skills (i.e., use of language to achieve social goals) negatively impact the ability to make and maintain cooperative work relationships with employers and coworkers, which are critical aspects of employment. A specific pragmatic skill key to workplace communication includes using a suitable degree of politeness, loosely defined as demonstrating the appreciation of the thoughts and feelings of your listener. Politeness can be measured with politeness markers (PMs). Appropriate PM use promotes positive, cooperative relationships. There are two main categories of PMs: positive and negative PMs. Positive PMs express appreciation or praise to the listener. Negative PMs avoid conflict and marks consideration of the thoughts and feelings of the listener. Crucially, negative PMs require more monitoring of social boundaries as they require consideration of the conversational partner’s potential reactions to statements and their emotional states. This makes PMs a novel new approach to evaluating speech in persons with ASD. Because PMs serve a purely social function in language, they include non-tangible words, such as would, could, may, or might. The current study explores the utility of an employment-specific social communication assessment tool, the Voicemail Elicitation Task (VET), in persons with ASD. The VET has proven sensitive to identifying social communication deficits in persons with traumatic brain injury.
Participants and Methods:The current cohort comparative study included a sample of young adults with ASD (n=22) and neurotypical controls (NTC; n=10). All participants were given the VET, which utilizes a standardized computerized language sampling procedure that assesses politeness markers (PMs) in work-related role-play scenarios. The outcome measure of the VET is PMs per minute (PMpM) which is obtained by dividing the sum of PMs by the speaking time (in minutes). Higher PMpM indicates higher PM use (more politeness), while lower PMpM indicates lower PM use (less politeness).
Results:The preliminary results indicated a significantly lower total PMpM in ASD participants (mean: 13.68 SD: 6.28) compared to NTCs (mean 18.72, SD: 3.65), p = 0.026. Post hoc analysis indicated that the differences in groups were driven by significantly lower negative PMs rates used by the ASD group (mean 9.18, SD: 5.77) compared to NTCs (mean: 16.30, SD: 7.78), p = 0.002, while both groups were similar in their mean level of positive PMs use, p = 0.442.
Conclusions:This study represents an important step toward validating the VET for use in ASD, which will improve the capacity of the field to address unemployment in this population. The results of the current study indicate that individuals with ASD show deficits in PM use which could impact their interpersonal relationships within the workplace environment. Designing interventions to target these deficits could help provide better employment outcomes for this population.
Preparation and Characterization of Chitosan/Silver Nano-composite and its Application on Nile Water as Antibacterial Materials
- Heba Elfaig, Wala Elsayed, Hasabo Ahmed
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- Journal:
- MRS Advances / Volume 5 / Issue 26 / 2020
- Published online by Cambridge University Press:
- 10 February 2020, pp. 1331-1338
- Print publication:
- 2020
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The prepared silver/chitosan nanocomposite and chitosan nanoparticles in this study may demonstrate the potential in optimizing the minimum amount required to achieve complete inactivation of various Coliform bacteria in Nile water. Chitosan nanoparticles were prepared based on the ionic gelation of the prepared chitosan and silver nanoparticles were reduced by Solenostemma Argel extract. Finally, chitosan silver-loaded nanoparticles were prepared by dispersing silver nanoparticles onto the chitosan nanoparticles. The SEM images exhibited a diameter range of 10 nm–30 nm for both of the fabricated silver nanoparticles and chitosan nanoparticles. The UV-Vis analysis confirmed the formation of Ag nanoparticles by the appearance of the characteristic peak at 410 nm. The antibacterial activity of chitosan nanoparticles and silver-loaded nanoparticles was evaluated against the Coliform bacteria. Results show an improvement in the inhibition of the growth of various bacteria tested when silver nanoparticles were introduced which was (0.03g/100ml). Consequently, chitosan silver-loaded nanoparticles could be recommended as an efficient antibacterial material for water disinfection.