Paper Info
Title
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.
Year
DOI
Venue
2019
10.1109/ACIIW.2019.8925262
2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
Keywords
Field
DocType
oral presentations,public speaking anxiety,sensing,real-time detection,just-in-time interventions,biofeedback,virtual agents
Social psychology,Psychological intervention,Task analysis,Computer science,Virtual agent,Anxiety,Public speaking,User interface,Public speaking anxiety,Applied psychology
Conference
ISBN
Citations 
PageRank 
978-1-7281-3892-3
0
0.34
References 
Authors
7
1
Name
Order
Citations
PageRank
Everlyne Kimani134.46