Towards hand-gesture frustration detection in interactive systems

Abstract

User experience has gained great attention in recent years, and with rapid change in technology, understanding user's emotions and whether or not they are happy has become crucial, in order to offer better solutions and experience to the user. This paper presents a synthesis of affective computing research on frustration detection in interactive systems. Two tabletop systems for hand gesture frustration detection are introduced, which aim to identify frustration levels in the user's hand gestures using a camera, while interacting with a smart table surface.