Performance anxiety in actors: symptoms, explanations and an Indian approach to treatment

There are numerous examples of renowned performers across the arts (actors and musicians) and in sports, which become news items in the media due to their performance anxiety (also called stage fright in English, or Lampenfieber in German). Given the number of celebrity actors suffering from stage fright, the number of those actors who do not make the news headlines in relation to their stage fright but nevertheless suffer from it must be even higher. In t his essay we provide an up to date account of the symptoms of stage fright, possible explanations for it and a range of known approaches to treatment. This is followed by an original approach to treating stage fright, based on Indian performance techniques, using details of a study undertaken in 2005.This multi-author journal article provides an in-depth analysis into the nature and treatment available for performance anxiety. The article offers examples of numerous artists and singers, including Sir Laurence Olivier, who had experienced stage fright for the duration of his performances of the title role in Ibsen’s The Master Builder (1965). The article run a clear analysis of the symptoms of stage fright and explain the nature of this psychophysical anxiety using clinical evidences and therapeutic methods. The key focus of the article is to compare and contrast two therapeutic methods for deducing stage anxiety: NLP, a well-established method, and SIT, which is an emerging method developed by Sreenath Nair using South Indian Bodily traditions. The article is based on a project carried out by Emerita Elizabeth Valentine and Daniel Meyer-Dinkgräfe in 2005, funded by the British Academy and the University of Wales Aberystwyth. The project compared two distinct methods of reducing stage fright in stage actors (Valentine et.al. 2006), one of them based on Indian approaches (South Indian Techniques, SIT) and the other Neuro Linguistic Programming (NLP). The SIT approach makes use of a range of psychophysical approaches deriving from the martial and performance traditions of Kerala. The study concludes that although many of the results were not statistically significant, ten of the eleven main effects were in the predicted direction, i.e. a greater effect for SIT than NLP. This multi-author journal article provides an in-depth analysis into the nature and treatment available for performance anxiety. The article offers examples of numerous artists and singers, including Sir Laurence Olivier, who had experienced stage fright for the duration of his performances of the title role in Ibsen’s The Master Builder (1965). The article run a clear analysis of the symptoms of stage fright and explain the nature of this psychophysical anxiety using clinical evidences and therapeutic methods. The key focus of the article is to compare and contrast two therapeutic methods for deducing stage anxiety: NLP, a well-established method, and SIT, which is an emerging method developed by Sreenath Nair using South Indian Bodily traditions. The article is based on a project carried out by Emerita Elizabeth Valentine and Daniel Meyer-Dinkgräfe in 2005, funded by the British Academy and the University of Wales Aberystwyth. The project compared two distinct methods of reducing stage fright in stage actors (Valentine et.al. 2006), one of them based on Indian approaches (South Indian Techniques, SIT) and the other Neuro Linguistic Programming (NLP). The SIT approach makes use of a range of psychophysical approaches deriving from the martial and performance traditions of Kerala. The study concludes that although many of the results were not statistically significant, ten of the eleven main effects were in the predicted direction, i.e. a greater effect for SIT than NLP. The study is a practice-based research demonstrating a highly relevant contribution to a therapeutic practice reducing stage fright. The research combines science and humanities indicating direct and wider impact

A framework for applying natural language processing in digital health interventions

BACKGROUND: Digital health interventions (DHIs) are poised to reduce target symptoms in a scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical support often collect text data from 2 sources: (1) open correspondence between users and the trained practitioners supporting them through a messaging system and (2) text data recorded during the intervention by users, such as diary entries. Natural language processing (NLP) offers methods for analyzing text, augmenting the understanding of intervention effects, and informing therapeutic decision making. OBJECTIVE: This study aimed to present a technical framework that supports the automated analysis of both types of text data often present in DHIs. This framework generates text features and helps to build statistical models to predict target variables, including user engagement, symptom change, and therapeutic outcomes. METHODS: We first discussed various NLP techniques and demonstrated how they are implemented in the presented framework. We then applied the framework in a case study of the Healthy Body Image Program, a Web-based intervention trial for eating disorders (EDs). A total of 372 participants who screened positive for an ED received a DHI aimed at reducing ED psychopathology (including binge eating and purging behaviors) and improving body image. These users generated 37,228 intervention text snippets and exchanged 4285 user-coach messages, which were analyzed using the proposed model. RESULTS: We applied the framework to predict binge eating behavior, resulting in an area under the curve between 0.57 (when applied to new users) and 0.72 (when applied to new symptom reports of known users). In addition, initial evidence indicated that specific text features predicted the therapeutic outcome of reducing ED symptoms. CONCLUSIONS: The case study demonstrates the usefulness of a structured approach to text data analytics. NLP techniques improve the prediction of symptom changes in DHIs. We present a technical framework that can be easily applied in other clinical trials and clinical presentations and encourage other groups to apply the framework in similar contexts

An evaluation of the 'Living with Cancer' project: Using neuro-linguistic programming techniques to maximise the coping strategies of carers and patients living with cancer in Ellesmere Port

The 'Living with cancer' project aimed to improve communication, relationship, and coping skills of health professionals, cancer patients and their carers in Ellesmere Port. The project delivered NLP Diploma training to 55 health professionals between April 2001-March 2004.Commissioned by Chester and Halton NHS Trust and funded through the New Opportunities Fund