Investigating the Comprehensive Inventory of Thriving (CIT) as a rehabilitation outcome measure

Reliable and valid outcome measures are needed in community rehabilitation settings following acquired neurological injury. The Comprehensive Inventory of Thriving (CIT) (Su, Tay and Diener, 2013) was investigated for this purpose. The CIT is a 54 item self-report measure that provides 18 subscales and seven main scales of thriving: Relationships, Engagement, Mastery, Autonomy, Meaning, Optimism and Subjective Well-being. Participants (n=76) were administered the CIT on admission to a community rehabilitation service. The mean age of participants was 54.8 (SD = 17.7), with 43% being male. The main diagnostic groups were cerebrovascular disease (28%), traumatic brain injury (17%) and Parkinson's disease (12%). Internal consistency was moderate to high (α =.6 to .9) for all subscales with the exception of Support (Relationships) and Skills (Mastery); and high (α=.79-.93) for all indexes with the exception of Subjective Wellbeing. Correlational analyses supported the scale groupings. However, the subscales of Support (Relationships) and Skills (Mastery) did not correlate significantly with any subscales. Additionally the Subjective Well-being scale should not be calculated, but instead its three subscales (Negative Feelings, Life Satisfaction, Positive Feelings) used individually. In terms of demographic variables, there were no significant gender differences on CIT scales. Age had low correlations with two Relationships subscales only (Trust r=.23, p=.04; Loneliness r=-.25, p=.03). Diagnostic group minimally influenced CIT scores. Significant between-group differences were only found for Accomplishment (Mastery), with post-hoc analyses indicating higher levels for the cerebrovascular group. The CIT shows considerable promise in rehabilitation outcomes as a reliable and valid multi-component measure of wellbeing

Emotional recognition in computing

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University 8/4/2010.Emotions are fundamental to human lives and decision-making. Understanding and expression of emotional feeling between people forms an intricate web. This complex interactional phenomena, is a hot topic for research, as new techniques such as brain imaging give us insights about how emotions are tied to human functions. Communication of emotions is mixed with communication of other types of information (such as factual details) and emotions can be consciously or unconsciously displayed. Affective computer systems, using sensors for emotion recognition and able to make emotive responses are under development. The increased potential for emotional interaction with products and services, in many domains, is generating much interest. Emotionally enhanced systems have potential to improve human computer interaction and so to improve how systems are used and what they can deliver. They may also have adverse implications such as creating systems capable of emotional manipulation of users. Affective systems are in their infancy and lack human complexity and capability. This makes it difficult to assess whether human interaction with such systems will actually prove beneficial or desirable to users. By using experimental design, a Wizard of Oz methodology and a game that appeared to respond to the user’s emotional signals with human-like capability, I tested user experience and reactions to a system that appeared affective. To assess users’ behaviour, I developed a novel affective behaviour coding system called ‘affectemes’. I found significant gains in user satisfaction and performance when using an affective system. Those believing the system responded to emotional signals blinked more frequently. If the machine failed to respond to their emotional signals, they increased their efforts to convey emotion, which might be an attempt to ‘repair’ the interaction. This work highlights how very complex and difficult it is to design and evaluate affective systems. I identify many issues for future work, including the unconscious nature of emotions and how they are recognised and displayed with affective systems; issues about the power of emotionally interactive systems and their evaluation; and critical ethical issues. These are important considerations for future design of systems that use emotion recognition in computing.EPSRC project grant (R81374/01

Proceedings of the 10th international conference on disability, virtual reality and associated technologies (ICDVRAT 2014)

The proceedings of the conferenc

Zur Plastizität von sozio-emotionalen Kompetenzen auf Verhaltens- und Gehirnebene: Eine EEG-begleitete Trainingsstudie bei Vorschulkindern mittels des computergestützten Trainingsprogramms Zirkus Empathico

Die Förderung funktionaler sozio-emotionaler Kompetenz in der Vorschulzeit (Altersspanne 3 bis 6 Jahre) ist von entscheidender Bedeutung, um der Entstehung psychischer Störungen vorzubeugen. Bislang gibt es nur wenige Studien, die die Auswirkungen digitaler Trainings auf die sozio-emotionale Entwicklung von Vorschulkindern untersuchen. Ebenso liefert die Forschung umfangreiche Informationen über typisches sozio-emotionales Verhalten bei Vorschulkindern, während weniger darüber bekannt ist, wie das Gehirn diese Funktionen umsetzt. Ziel der Dissertation war es daher, grundlegende und komplexe Aspekte der sozio-emotionalen Kompetenz von Vorschulkindern zu untersuchen, indem ihre Reife und Trainierbarkeit mit Verhaltens- und neuronalen Maßen erfasst wurden. In den Studien 1 und 2 wurden ereigniskorrelierte Potenziale und die Fast Periodic Visual Stimulation Methode eingesetzt, um neuronale Mechanismen der Emotionserkennung zu quantifizieren. Beide Studien ergaben das Vorhandensein grundlegender Mechanismen der Emotionserkennung in dieser Altersgruppe. Darüber hinaus zeigten Vorschulkinder einen Verarbeitungsvorteil von fröhlichen gegenüber ärgerlichen oder neutralen Gesichtern. Studie 3 untersuchte die Trainierbarkeit sozio-emotionaler Kompetenz anhand des digitalen Trainings Zirkus Empathico. Die Zirkus-Empathico-Gruppe zeigte im Vergleich zur Kontrollgruppe einen Anstieg sowohl der grundlegenden als auch der komplexen sozio-emotionalen Kompetenzen. Darüber hinaus ergab sich für die Zirkus-Empathico-Gruppe auf der neuronalen Ebene einen Verarbeitungsvorteil für fröhliche Gesichter. Zusammenfassend zeigt sich ein erheblicher Nutzen neuronaler Marker für das Verständnis von Mechanismen, welchen der Emotionserkennung von Vorschulkindern zugrunde liegen. Die vielversprechende Evidenz für die Wirksamkeit eines digitalen sozio-emotionalen Kompetenztrainings ermöglicht darüber hinaus weitere Überlegungen zur Nachhaltigkeit der Effekte sowie der gesellschaftlichen Bedeutung.Promoting functional socio-emotional competence in the preschool years (age range 3 to 6 years) is crucial to prevent the development of psychological disorders. To date, there are few studies examining the effects of digital training on the socio-emotional development of preschool children. Similarly, research provides extensive information on typical socio-emotional behaviors in preschool children, while less is known about how the brain implements these functions. Therefore, the goal of this dissertation was to examine fundamental and complex aspects of preschoolers' socio-emotional competence by assessing their maturity and trainability with behavioral and neuronal measures. Studies 1 and 2 used event-related potentials and the Fast Periodic Visual Stimulation method to quantify neural mechanisms of emotion recognition. Both studies revealed the presence of basic emotion recognition mechanisms in this age group. In addition, preschoolers showed a processing advantage of happy over angry or neutral faces. Study 3 investigated the trainability of socio-emotional competence using the digital training Zirkus Empathico. The Zirkus Empathico group showed an increase in both basic and complex socio-emotional competencies compared to the control group. In addition, the Zirkus Empathico group showed a processing advantage for happy faces at the neuronal level. In summary, neuronal markers show considerable utility for understanding mechanisms underlying emotion recognition in preschool children. The promising evidence for the efficacy of digital socio-emotional skills training also allows further consideration of the sustainability of the effects as well as the societal significance

Advances in Autism Research

This book represents one of the most up-to-date collections of articles on clinical practice and research in the field of Autism Spectrum Disorders (ASD). The scholars who contributed to this book are experts in their field, carrying out cutting edge research in prestigious institutes worldwide (e.g., Harvard Medical School, University of California, MIND Institute, King’s College, Karolinska Institute, and many others). The book addressed many topics, including (1) The COVID-19 pandemic; (2) Epidemiology and prevalence; (3) Screening and early behavioral markers; (4) Diagnostic and phenotypic profile; (5) Treatment and intervention; (6) Etiopathogenesis (biomarkers, biology, and genetic, epigenetic, and risk factors); (7) Comorbidity; (8) Adulthood; and (9) Broader Autism Phenotype (BAP). This book testifies to the complexity of performing research in the field of ASD. The published contributions underline areas of progress and ongoing challenges in which more certain data is expected in the coming years. It would be desirable that experts, clinicians, researchers, and trainees could have the opportunity to read this updated text describing the challenging heterogeneity of Autism Spectrum Disorder