Two Cognitive Modeling Frontiers Emotions and Usability

Two Cognitive Modeling Frontiers: Emotions and Usability

This paper reviews three hybrid cognitive architectures (Soar, ACT-R, and CoJACK) and how they can support including models of emotions. There remain problems creating models in these architectures, which itself remains a research and engineering problem. Thus, the term cognitive science engineering is introduced as an area that would support making models easier to create, understand, and re-use.

Understanding Affective Cognition: Frontiers in modeling reasoning about others' emotions

Social life constantly requires us to decipher information about others into inferences about their emotional states: for example, we have to reason about what makes our romantic partners happy (a surprise gift?) or angry (not doing one’s chores?), and what they would do in those emotional states, in order to plan our upcoming interactions. Such affective cognition, or our ability to reason abo...

Modeling Emotions in Integrated Cognitive Systems

growth in emotion research (Forgas, 2001), both in disciplines that have traditionally addressed emotions (e.g., psychology, sociology) and in a variety of inter disciplinary areas, including cognitive science, AI (artificial intelligence), and HCI (human–computer intelligence; see also Hudlicka, 2003b; Picard’s Affective Computing [1997]). In AI and cognitive science, there has been a great de...

Toward Cognitive Modeling for Predicting Usability

Historically, predictive human performance modeling has been successful at predicting the task execution time of skilled users on a desktop computer. More recent work has predicted novice behavior in web searches. This paper reports on a collaborative effort between industry and academia to expand the scope of predictive modeling to the mobile phone domain, both skilled and novice behavior, and...

Functions of Emotions Emotions and Cognitive Processing