Exploring Social Augmentation Concepts for Public Speaking using Peripheral Feedback and Real-Time Behavior Analysis

Abstract

Non-verbal and unconscious behavior plays an important role for efficient human-to-human communication but are often undervalued when training people to become better communicators. This is particularly true for public speakers who need not only behave according to a social etiquette but do so while generating enthusiasm and interest for dozens if not hundreds of other persons. In this paper we propose the concept of social augmentation using wearable computing with the goal of giving users the ability to continuously monitor their performance as a communicator. To this end we explore interaction modalities and feedback mechanisms which would lend themselves to this task.