The affective reasoner: a process model of emotions in a multi-agent system
The affective reasoner: a process model of emotions in a multi-agent system
Analyzing the emotional outcomes of the online search behavior with search engines
Computers in Human Behavior
An architecture for affective management of systems of adaptive systems
MACE'10 Proceedings of the 5th IEEE international conference on Modelling autonomic communication environments
The affective experience of handling digital fabrics: tactile and visual cross-modal effects
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Tune in to your emotions: a robust personalized affective music player
User Modeling and User-Adapted Interaction
What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay?
ACM Transactions on Computer-Human Interaction (TOCHI)
Motivating agents in software tutorials
Computers in Human Behavior
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How do emotions and moods color cognition? In this article, we examine how such reactions influence both judgments and cognitive performance. We argue that many affective influences are due, not to affective reactions themselves, but to the information they carry about value. The specific kind of influence that occurs depends on the focus of the agent at the time. When making evaluative judgments, for example, an agent's positive affect may emerge as a positive attitude toward a person or object. But when an agent focuses on a cognitive task, positive affect may act like feedback about the value of one's approach. As a result, positive affect tends to promote cognitive, relational processes, whereas negative affect tends to inhibit relational processing, resulting in more perceptual, stimulus-specific processing. As a consequence, many textbook phenomena from cognitive psychology occur readily in happy moods, but are inhibited or even absent in sad moods (149).