A Survey of Information Technology Applications to Treat Fear of Public Speaking
DOI:
https://doi.org/10.31185/wjcm.Vol1.Iss1.8Abstract
Public speaking started to gain much attention when it comes to phobias, which is anxiety for new presenters. In some cases, specialists consider that avoiding the phenomenon which causes the phobia is sufficient treatment; in others, the exact opposite, being gradually exposed to the object of fear may lead to a cure. We have to start looking for other psychotherapeutic methods, innovative ones, to help people surpass their immense fears and improve their ability to give presentations. The current article presents a survey on discovering fear and anxiety when preventing and treating it and analyses their utility as tools for learning how to overcome this type of phobias, thus improving presentation ability. Using IT-based solutions for treating presented this fear, especially anxiety for new presenters. The current methods of dealing with the fear of public speaking will be reviewed, as well as Clarify the technology (tools, systems, and applications) based used for detecting and treatment. We will analyze research that studies how to detect fear and the ways to treat it, the concept behind their mechanism and the possibility of exploiting them in presentations. therefore, the paper debates these IT instruments and applications in this field. Based on the results of the survey, we will propose an appropriate mechanism for detecting degrees and types of fear when presenting presentations and their treatment.
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References
F. Dermody, A. Sutherland, and M. Farren A Multi-modal System for Public Speaking Pilot Study on Evaluation of Real-Time Feedback, vol. 1, pp. 499–501, 2015.
M. Chollet, W. Torsten, L. Morency, and S. Scherer A Multimodal Corpus for the Assessment of Public Speaking Ability and Anxiety, pp. 488–495.
O. Balan ˘ Emotions classification based on biophysical signals and machine learning techniques, 2019.
W. Torsten and S. Scherer Automatic Assessment and Analysis of Public Speaking Anxiety : A Virtual Audience Case Study.
F. Moldoveanu Dimensions and Machine Learning Techniques, pp. 1–18, 2019.
Greatest.coaches.in.NFL.History, 2015.
J. Hattie and & H Timperley, “The power of feedback”,” Review of Educational Research Journal, pp. 81–112, 2007.
T. Anderson and J. Shattuck, “Design-Based Research A Decade of Progress in Education Research?,” Educational Researcher Journl, pp. 16–25.
D. Kerby and & J Romine, “Develop Oral Presentation Skills Through Accounting Curriculum Design and Course-Embedded Assessment,” Business, vol. 85, pp. 172–179, 2009.
P. King, J. Young, and & R Behnke, “Public speaking performance improvement as a function of information processing in immediate and delayed feedback interventions,” Communication Education Journal, vol. 49, pp. 365–374, 2000.
“Every Toastmasters Journey Starts with A Single Speech,” Available: [Accessed, 2017.
K. Lee, H. Hon, and R. Reddy, “An overview of the SPHINX speech recognition system,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 38, pp. 35–45, 1990.
J. Goodman, A bit of progress in language modeling. 2001.
W. Walker, P. Lamere, P. Kwok, B. Raj, R. Singh, E. Gouvea, P. Wolf, and J. Woelfel, “Sphinx-4: A flexible open source framework for speech recognition,” Sun Microsystems Inc, 2004.
. . Microsoft and B. Speech 2017.
G. Bohouta, Comparision Speech Recognition Systems. 2017.
2017.
. . Spellchecker 2017.
" Mathworks, Matlab, and Mathworks 2017.
D. Wood, “Sound: Definition, Influences, Pitch & Volume,” Study.com, 2017.
O. C. M. L. Six TarsosDSP, a Real-Time Audio Processing, 2014.
A. D. Cheveigné and H. Kawahara, “YIN, a fundamental frequency estimator for speech and music,” The Journal of the Acoustical Society of America, vol. 111, 2002.
P. Mcleod and G. Wyvill, “A Smarter Way to Find Pitch,” Proceedings of the International Computer Music Conference (ICMC 2005), 2005.
M. J. Ross, H. L. Shaffer, A. Cohen, R. Freudberg, and H. J. Manley, “Average Magnitude Difference Function Pitch Extractor,” IEEE Trans. on Acoustics, Speech, and Signal Processing, vol. 22, pp. 353–362, 1974.
P. Jahoda MPAndroidChart, 2017.
“microsoft Cognitive Services 2017.
L. Kerkeni, Y. Serrestou, M. Mbarki, K. Raoof, M. A. Mahjoub, and C. Cleder Automatic Speech Emotion Recognition Using Machine Learning, Social Media and Machine Learning, Alberto Cano, IntechOpen, 2019.
A. Davletcharova, S. Sugathan, B. Abraham, and A. P. James, “Detection and Analysis of Emotion from Speech Signals,” the Second International Symposium on Computer Vision and the Internet, vol. 58, 2015.
T. Giraud, “Multimodal Expressions of Stress during a Public Speaking Task: Collection, Annotation and Global Analyses,” in Humaine Association Conference on Affective Computing and Intelligent Interaction, pp. 417–422, 2013.
J. Schneider, D. Börner, P. V. Rosmalen, and M. Specht, “Presentation Trainer, your Public Speaking Multimodal Coach,” in Proceedings of the 2015 ACM on International Conference on Multimodal Interaction (ICMI ’15), pp. 539–546, Association for Computing Machinery.
D. K. nska and A. Pelikant, “Recognition of Human Emotion from a Speech Signal Based on Plutchik’s Model”,” International Journal of Electronics and Telecommunications, vol. 58, no. 2, pp. 2300–1933, 2012.
S. Shangavi, S. Jeyamaalmarukan, A. Jathevan, M. Umatharsini, and P. Samarasinghe, “Self-Speech Evaluation with Speech Recognition and Gesture Analysis,” in 2018 National Information Technology Conference (NITC), pp. 1–7, 2018.
N. Damodar, H. Y. Vani, and A. M. A, “Voice Emotion Recognition using CNN and Decision Tree,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), pp. 2278–3075, 2019.
V. A. Petrushin and B. Grove Detecting emotions using voice signal analysis, 2007.
T. Giraud, J. Hua, and A. Delaborde, “Multimodal Expressions of Stress during a Public Speaking Task: Collection, Annotation and Global Analyses,” in Humaine Association Conference on Affective Computing and Intelligent Interaction, pp. 417–422, 2013.
J. Schneider, D. Boerner, P, and M. Specht Presentation Trainer, your Public Speaking Multimodal Coach.
S. Shangavi, S. Jeyamaalmarukan, A. Jathevan, and M Umatharsini Pradeepa Samarasinghe, Self-Speech Evaluation with Speech Recognition and Gesture Analysis, 2018
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Copyright (c) 2021 Qays Algahreeb, Florica Moldoveanu; Alin Moldoveanu (Author)

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