A Sensor-based Framework for Real-time Detection and Alleviation of Public Speaking Anxiety

Abstract

Oral presentations are important and challenging tasks that most people struggle with due to public speaking anxiety. To date, there are fewer research interventions that are designed to assist presenters manage their anxiety in real-time during presentations. This research attempts to fill this gap by exploring ways in which sensor-driven technologies can help reduce anxiety during presentations. To help presenters manage their anxiety, I will design and evaluate an automated real-time framework for detecting public speaking anxiety and explore behavioral just-in-time techniques that presenters can use while presenting. The automated framework will be guided by a physiological detection model, use a virtual agent as the user interface, and will assist presenters during their presentation.