Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
51
result(s) for
"emotive language analysis"
Sort by:
The Emotional Landscape of Technological Innovation: A Data-Driven Case Study of ChatGPT’s Launch
The rapid development and deployment of artificial intelligence (AI) technologies have sparked intense public interest and debate. While these innovations promise to revolutionise various aspects of human life, it is crucial to understand the complex emotional responses they elicit from potential adopters and users. Such findings can offer crucial guidance for stakeholders involved in the development, implementation, and governance of AI technologies like OpenAI’s ChatGPT, a large language model (LLM) that garnered significant attention upon its release, enabling more informed decision-making regarding potential challenges and opportunities. While previous studies have employed data-driven approaches towards investigating public reactions to emerging technologies, they often relied on sentiment polarity analysis, which categorises responses as positive or negative. However, this binary approach fails to capture the nuanced emotional landscape surrounding technological adoption. This paper overcomes this limitation by presenting a comprehensive analysis for investigating the emotional landscape surrounding technology adoption by using the launch of ChatGPT as a case study. In particular, a large corpus of social media texts containing references to ChatGPT was compiled. Text mining techniques were applied to extract emotions, capturing a more nuanced and multifaceted representation of public reactions. This approach allows the identification of specific emotions such as excitement, fear, surprise, and frustration, providing deeper insights into user acceptance, integration, and potential adoption of the technology. By analysing this emotional landscape, we aim to provide a more comprehensive understanding of the factors influencing ChatGPT’s reception and potential long-term impact. Furthermore, we employ topic modelling to identify and extract the common themes discussed across the dataset. This additional layer of analysis allows us to understand the specific aspects of ChatGPT driving different emotional responses. By linking emotions to particular topics, we gain a more contextual understanding of public reaction, which can inform decision-making processes in the development, deployment, and regulation of AI technologies.
Journal Article
Outcomes of a Robot-Assisted Social-Emotional Understanding Intervention for Young Children with Autism Spectrum Disorders
This study is a randomized control trial aimed at testing the role of a human-assisted social robot as an intervention mediator in a socio-emotional understanding protocol for children with autism spectrum disorders (ASD). Fourteen children (4–8 years old) were randomly assigned to 10 sessions of a cognitive behavioural therapy (CBT) intervention implemented in a group setting either with or without the assistance of a social robot. The CBT protocol was based on Rational Emotive Behaviour Therapy (REBT) principles. Pre- and post-intervention assessments were conducted using the Test of Emotional Comprehension (TEC) and the Emotional Lexicon Test (ELT). Substantial improvements in contextualized emotion recognition, comprehension and emotional perspective-taking through the use of human-assisted social robots were attained.
Journal Article
The Limits of Words: Expanding a Word-Based Emotion Analysis System with Multiple Emotion Dictionaries and the Automatic Extraction of Emotive Expressions
Wide adoption of social media has caused an explosion of information stored online, with the majority of that information containing subjective, opinionated, and emotional content produced daily by users. The field of emotion analysis has helped effectively process such human emotional expressions expressed in daily social media posts. Unfortunately, one of the greatest limitations of popular word-based emotion analysis systems has been the limited emotion vocabulary. This paper presents an attempt to extensively expand one such word-based emotion analysis system by integrating multiple emotion dictionaries and implementing an automatic extraction mechanism for emotive expressions. We first leverage diverse emotive expression dictionaries to expand the emotion lexicon of the system. To do that, we solve numerous problems with the integration of various dictionaries collected using different standards. We demonstrate the performance improvement of the system with improved accuracy and granularity of emotion classification. Furthermore, our automatic extraction mechanism facilitates the identification of novel emotive expressions in an emotion dataset, thereby enriching the depth and breadth of emotion analysis capabilities. In particular, the automatic extraction method shows promising results for applicability in further expansion of the dictionary base in the future, thus advancing the field of emotion analysis and offering new avenues for research in sentiment analysis, affective computing, and human–computer interaction.
Journal Article
Sylvia Plath and the Language of Affective States
Focusing on the first journal in The Unabridged Journals of Sylvia Plath, this book writes a convincing case for the value of corpus-based stylistics and narrative psychology in the analysis of representations of the experience of affective states. Situated at the intersection between language study, psychology and healthcare, this study of the personal writing of a poet and novelist showcases a cutting-edge combination of quantitative and qualitative approaches, including metaphor analysis, corpus methods, and second person narration. Techniques that systematically account for representations of experiences of affective states, such as those in this book, are rare and crucial in improving understanding of these experiences. The findings and methods of this book therefore potentially have bearing on the study, diagnosis and treatment of depression and other mental illnesses. Zsófia Demjén follows the cognitive turn in both literary studies and linguistics here, emerging with a greater understanding of Plath, her diarized output and her experience of her inner world.
eBook
The Persian irrational performance beliefs inventory (iPBI-Persian): Translation, confirmatory factor analysis, and test–retest reliability, in Iranian athletes
This paper reports the development and initial validation of the Persian language Irrational Performance Beliefs Inventory (iPBI-Persian). The original iPBI was developed to provide a validated measure of the four core irrational beliefs of rational emotive behavior therapy (REBT) within performance-based samples, such as athletes. Data retrieved from 334 athletes (169 men, 165 women, Mage = 21.52 ± 4.00 years) were analyses using SPSS and LISREL software packages. After the linguistic and cross-cultural adaptation processes, confirmatory factor analysis (CFA) results showed that six items did not have acceptable factor loadings. After removal of problem items, a 22-item version was developed (CFI = 0.96). The iPBI-Persian demonstrated excellent levels of reliability, with internal consistency and test–retest reliability, as well as construct validity. This paper indicates that the 22-item iPBI-Persian can be used as a self-assessment instrument to evaluate irrational performance beliefs in Iranian athlete samples.
Journal Article
Psycholinguistic and Cultural Dimensions of Emotion Verbalization: Investigating the Rationale Behind Word Choice
Emotiology is a growing area of interdisciplinary research and academic discourse which focuses on the linguistic manifestation of emotions. This study employs psycholinguistic methodologies to examine the rationale behind word selection in emotional communication, integrating linguacultural, psycholinguistic, structural, and comparative analyses. Guided by a mixed-methods research design, the study examined the relationship between language and emotion through psycholinguistic and cultural dimensions. Primary data was drawn from the National Corpus of the Kazakh Language, focusing specifically on the Speech and Media sub corpora. Qualitative analytical techniques like thematic coding, temporal analysis, and discourse analysis were employed for interpreting the data. Quantitative methods measured the frequency and intensity of emotive words, examining their contextual usage to evaluate their emotive potential. The findings identify three types of emotive semantics categorizes, uncovering asymmetries and patterns in emotional expression across the language. Additionally, the study discovered the emotive potential of various word classes, demonstrating their integration into broader lexical and semantic fields. It was found that emotive expressions are conceptualized either as intrinsic linguistic units or as contextually shaped constructs. This research contributes to understanding the psycholinguistic and cultural mechanisms underpinning emotional expression, emphasizing the intricate relationship between language, emotion, and the factors influencing word choice.
Journal Article
Surprise at the Intersection of Phenomenology and Linguistics
Surprise is treated as an affect in Aristotelian philosophy as well as in Cartesian philosophy. In experimental psychology, surprise is considered to be an emotion. In phenomenology, it is only addressed indirectly (Husserl, Heidegger, Levinas), with the important exception of Ricour and Maldiney; it is reduced to a break in cognition by cognitivists (Dennett). Only recently was it broached in linguistics, with a focus on lexico-syntactic categories. As for the expression of surprise, it has been studied in connection with evidentiality in languages that encode surprise morphosyntactically. However, how surprise is encoded in languages that lack an evidential morphosyntactic system has been largely unexplored. This book provides new insights into the dynamics of surprise based on a heuristic hypothesis tested against the investigation of time, language and emotion. It is intended to arouse the interest of a multidisciplinary audience keen on crossing the disciplinary borders of phenomenology, cognitive sciences, and pragmatics. The theoretical approaches adopted in this collection of articles rely on experiments and corpus data. They advance knowledge by building on robust empirical results coming from psychology, microphenomenology, linguistics and physiology.
eBook
Stress in teachers of children with neuro-developmental disorders: Effect of blended rational emotive behavioral therapy
Background/Objectives:
Neuro-developmental disorders impose a wide range of learning barriers on learners, increasing stress among their teachers. Evidence attests to the heightened stress among teachers teaching children with such conditions. This study tested the efficacy of blended Rational Emotive Behavior Therapy in reducing job stress among teachers of children with neuro-developmental disorders in Abia State, Nigeria.
Method:
The current study adopted a group-randomized waitlist control trial design with pretest, post-test, and follow-up assessments. Participants (N = 83) included teachers of children with neuro-developmental disorders in inclusive and specialized schools. The blended Rational Emotive Behavior Therapy group participated in a 2 h intersession face-to-face and online Rational Emotive Behavior Therapy (REBT) program weekly for 12 weeks. Data were collected using the Single Item Stress Questionnaire, Teachers’ Stress Inventory, and Participants’ Satisfaction questionnaire. The waitlisted group also received a blended Rational Emotive Behavior Therapy intervention after all data collection. Data collected at baseline; post-test as well as follow-up 1 and 2 evaluations were analyzed using mean, standard deviation, t-test statistics, repeated measures analysis of variance, and charts.
Results:
Results revealed that the mean perceived stress, stress symptoms, and the total teachers’ stress score of the blended Rational Emotive Behavior Therapy group at post-test and follow-up assessments reduced significantly, compared to the waitlisted group. Participants also reported a high level of satisfaction with the therapy and procedures.
Conclusion:
From the findings of this study, we conclude that blended Rational Emotive Behaviour Therapy is efficacious in occupational stress management among teachers of children with neuro-developmental disorders.
Journal Article
The role of women's traditional gender beliefs in depression, intimate partner violence and stress: insights from a Spanish abbreviated multicultural measure
Background
Research on traditional gender beliefs has highlighted their psychological impact and social implications for women. The purpose of this study was twofold. First, we aimed to adapt and validate the Spanish version of the Multicultural O’Kelly Women’s Beliefs Scale. Next, we explored its sources of validity evidence in relation to intimate partner violence, stress, and depression. Based on the Rational Emotive Behavior Therapy framework, traditional gender beliefs were expected to be associated with higher levels of intimate partner violence, stress and depression. We also expected to obtain a psychometrically-sound factor structure of the Multicultural O’Kelly Women’s Beliefs Scale.
Methods
A sample of Spanish women (N = 322) completed the Multicultural O’Kelly Women’s Beliefs Scale, the Beck’s Depression Inventory II, the Modified Conflict Tactics Scale, and the Stress Perceived Scale. To test the psychometric properties of the Multicultural O’Kelly Women’s Beliefs Scale we implemented exploratory and confirmatory factor analyses and an analysis of the area under the curve.
Results
Regarding the psychometric properties of the scale, statistical analysis revealed a one-factor dimensionality (Global traditionalism) and supported a reduction of items in the original instrument. The abbreviated version (eight items) obtained the best fit indices. Considering the association between traditional gender beliefs and psychological outcomes, we found that traditional gender beliefs were associated with increased severity of stress, depressive symptoms and reciprocal verbal aggression.
Conclusion
The Spanish adaptation of the Multicultural O’Kelly Women’s Beliefs Scale provided a very short, psychometrically robust and clinically relevant measure of traditional gender beliefs. In addition to the association between traditional gender beliefs and mental health outcomes, an important finding was the relationship between traditional gender beliefs and intimate partner violence. Our scale might be used in clinical settings by helping women to identify their traditional gender beliefs and replace them by healthy and goal-oriented beliefs, which would also contribute in achieving a more egalitarian society.
Journal Article