Computational similarity measures have been evaluated in a variety of ways, but few of the validated computational measures are based on a high-level, cognitive criterion of objective similarity. In this paper, we evaluate two popular objective similarity measures by comparing them with face matching performance in human observers. The results suggest that these measures are still limited in predicting human behavior, especially in rejection behavior, but objective measure taking advantage of global and local face characteristics may improve the prediction. It is also suggested that human may set different criterions for“hit” and “rejection”and this may provide implications for biologically-inspired computational systems.
Cognition and emotion have long been thought of as independent systems. However, recent research in the cognitive and neurobiological sciences has shown that the relationship between cognition and emotion is more interdependent than separate. Based on evidence from behavioral and neuroscientific research, researchers have realized that it is necessary to propose a new conceptual framework to describe the relationship between cognition and emotion. In this article, recent research from behavioral, neuroscientific and developmental research on the interaction between cognition and emotion is summarized, and how the interaction of cognition and emotion might affect computer science and artificial intelligence is discussed. It especially focuses on the implications for affective computing.
