Psychometrix Associates, Inc.  


Computational Emotion Research
Are emotions "diseases of the rational mind", as suggested by Kant? Or are they superior to reason, as suggested by Hume: "reason is, and ought only to be the slave of the passions".

Emotion research over the past two decades indicates that emotions are an essential component of decision-making and adaptive behavior. Scientists have learned much about what triggers specific emotions, and about the effects emotions have on our thoughts and behavior. Yet we know little about the mechanisms of these processes.

Computational emotion research aims to identify these mechanisms, by building computational models of emotions and emotion-cognition interactions. Through the developmen and testing of these models, we increase our understanding of the nature of emotions: both their role in adaptive behavior and decision-making, and the underlying information processing mechanisms.

Psychometrix conducts research in the computational models of emotion, with emphasis on models of cognitive-affective interactions and the affective biases and heuristics influencing decision-making.


Cognitive-Affective Engineering
Cognitive-affective engineering aims to apply the empirical and theoretical findings from emotion research to the development of human-machine systems that take into consideration users' emotions. This is particularly important for systems where users experience high levels of stress, or where the users' decision-making and behavior are strongly influenced by emotion. This includes applications such as decision-support systems, training and education environments, assistive technologies, and the emerging virtual environments for psychotherapy.

Psychometrix research in cognitive-affective engineering aims towards improving the effectiveness of human-machine systems by identifying the information necessary to support rational choices about when and how to integrate emotions in user models, cognitive and agent architectures, and user interfaces.