Stochastic Modeling of Physiological Signals with Hidden Markov Models: A Step Toward Frustration Detection in Human-Computer Interfaces
Raul Castro Fernandez · 1998
Affective Computing is a newly emerging field which has been defined as "computing that relates to, arises from, or deliberately influences emotions." Many applications in affective computing research rely on, or can greatly benefit from, information regarding affective states of computer users. The sensing and recognition of human affect, therefore, is one of the most important research areas to receive much attention in the area of affective computing. In this work, inspired by the particular application of human-machine interaction and the potential use that human-computer interfaces can make of knowledge regarding the affective state of a user, we investigate the problem of sensing and recognizing typical affective experiences that arise in this setting. In particular, through the design of experimental conditions for data gathering, we approach the problem of detecting "frustration" in human computer interfaces. By first sensing human biophysiological correlates of internal affect...