MITIGATING PUBLIC SPEAKING ANXIETY USING VIRTUAL REALITY AND POPULATION-SPECIFIC MODELS

In the education and workplace landscape of the 21st century, it is often said that a person is only as valuable as the ideas s/he has and can share. Public speaking skills are essential to help people effectively exchange ideas, persuade, inform their audiences as well as make a tangible impact. They also plays a vital role in one’s academic and professional success. However, research shows that public speaking anxiety (PSA) ranks as a top social phobia among many people and tends to be aggravated in minorities, first generation students, and non-native speakers. This research aims at mitigating this anxiety by utilizing physiological (cardiovascular activity, electrodermal activity etc.) and acoustic (pitch, intonation, etc.) indices captured from wearable devices and virtual reality (VR) interfaces to quantify and predict PSA. This work also examines the significance of individual-specific factors, such as general trait anxiety and personality metrics, as well as contextual factors, such as age, gender, highest education, and native language, receny of public speaking in moderating the association between bio-behavioural (physiological and acoustic) indices and PSA. The individual-specific information is used to develop population-specific machine learning models of PSA. Results of this research highlight the importance of including such factors for detecting PSA with the proposed population-based PSA models yielding Spearman’s correlation of 0.55 n(p < 0.05) between the actual and predicted state-based scores. This work further analyzes whether systematic exposure to public speaking tasks in a VR environment can help alleviate PSA. Results indicate that systematic exposure to public speaking in VR can alleviate PSA in terms of both self-reported (p < 0.05) and physiological (p < 0.05) indices. Findings of this study will enable researchers to better understand antedecedents and causes of PSA as well as lay the foundation toward developing adaptive behavioural interventions for social communication disorders using systematic exposure (e.g., through VR stimuli), relaxation feedback, and cognitive restructuring

2011 Presentation Abstracts

https://scholarworks.gvsu.edu/acf_abstracts/1003/thumbnail.jp

Spring School on Language, Music, and Cognition: Organizing Events in Time

The interdisciplinary spring school “Language, music, and cognition: Organizing events in time” was held from February 26 to March 2, 2018 at the Institute of Musicology of the University of Cologne. Language, speech, and music as events in time were explored from different perspectives including evolutionary biology, social cognition, developmental psychology, cognitive neuroscience of speech, language, and communication, as well as computational and biological approaches to language and music. There were 10 lectures, 4 workshops, and 1 student poster session. Overall, the spring school investigated language and music as neurocognitive systems and focused on a mechanistic approach exploring the neural substrates underlying musical, linguistic, social, and emotional processes and behaviors. In particular, researchers approached questions concerning cognitive processes, computational procedures, and neural mechanisms underlying the temporal organization of language and music, mainly from two perspectives: one was concerned with syntax or structural representations of language and music as neurocognitive systems (i.e., an intrapersonal perspective), while the other emphasized social interaction and emotions in their communicative function (i.e., an interpersonal perspective). The spring school not only acted as a platform for knowledge transfer and exchange but also generated a number of important research questions as challenges for future investigations

Public policy, social marketing and neuromarketing: from addressing the consumer behaviour to addressing the social behaviour - a study on the assessment of Public Service Announcements’ efficacy by neuro-metric indexes and techniques

The overall aim of this thesis is to investigate to what extent marketing can be a useful science for the public policy in developing effective Public Service Announcements (PSAs). In particular, hereby a specific discipline will be taken in consideration: the one that merges marketing with neuroscience, that is the so-called ‘neuromarketing’, which - in order to assess the advertising efficacy - adopts biometric and neurometric indexes. The objective of this work is to gain insights into the above-mentioned fields (marketing, neuroscience and public policy) by: - reviewing previous studies, as well as topical literature; - exploring the latest case studies and best practises; - examining the traditional methods’ results for the assessment of the PSAs (i.e. polls, surveys, focus groups) in their evolutionary path (till arriving to birth of the the neurometric methods) Such kind of research has the purpose to identify the factors that are considered relevant to answer the ultimate research question: is it possible today, by using state-of-the-art neurometric indexes and techniques, to provide policymakers with precise guidelines for developing effective PSAs, so that marketing will be able to address no more just the consumer behaviour, but also the social behaviour? In fact, the goal of any advertising campaign is to convey a specific message and reach a specific audience: the consumers. But, when talking about PSAs, many things changes: the KPIs for the assessment of their efficacy are no longer the commercial ones (GRP, reach etc.), but rather the gain obtained in public health after the airing of the campaign. Consequently, the specific message will be a different ‘call-to-action’: no more an invite to purchase, but rather to change a (wrong) social behaviour or adopt a (right) civil conscience. Given these premises, it is possible that marketing could be invested with a precise responsibility in terms of lives saved and public health. The practical and managerial implications of the research are the following: EU policymakers and local governments will have the opportunity to dispose of scientific data and information about the society that might be transformed in guidelines for producing effective PSAs based on the inner audience’s insights. The originality of this research resides in having framed the new neuromarketing protocols in the traditional Consumer Behaviour theory, combining thus future and past of the marketing research

MITIGATING PUBLIC SPEAKING ANXIETY USING VIRTUAL REALITY AND POPULATION-SPECIFIC MODELS

In the education and workplace landscape of the 21st century, it is often said that a person is only as valuable as the ideas s/he has and can share. Public speaking skills are essential to help people effectively exchange ideas, persuade, inform their audiences as well as make a tangible impact. They also plays a vital role in one’s academic and professional success. However, research shows that public speaking anxiety (PSA) ranks as a top social phobia among many people and tends to be aggravated in minorities, first generation students, and non-native speakers. This research aims at mitigating this anxiety by utilizing physiological (cardiovascular activity, electrodermal activity etc.) and acoustic (pitch, intonation, etc.) indices captured from wearable devices and virtual reality (VR) interfaces to quantify and predict PSA. This work also examines the significance of individual-specific factors, such as general trait anxiety and personality metrics, as well as contextual factors, such as age, gender, highest education, and native language, receny of public speaking in moderating the association between bio-behavioural (physiological and acoustic) indices and PSA. The individual-specific information is used to develop population-specific machine learning models of PSA. Results of this research highlight the importance of including such factors for detecting PSA with the proposed population-based PSA models yielding Spearman’s correlation of 0.55 n(p < 0.05) between the actual and predicted state-based scores. This work further analyzes whether systematic exposure to public speaking tasks in a VR environment can help alleviate PSA. Results indicate that systematic exposure to public speaking in VR can alleviate PSA in terms of both self-reported (p < 0.05) and physiological (p < 0.05) indices. Findings of this study will enable researchers to better understand antedecedents and causes of PSA as well as lay the foundation toward developing adaptive behavioural interventions for social communication disorders using systematic exposure (e.g., through VR stimuli), relaxation feedback, and cognitive restructuring