To develop a robot that is able to recognize and show affective behavior, it should be able to regulate simultaneously occurring tendencies of positive and negative emotions. To achieve this, the current paper introduces a computational model for involvement-distance trade-offs, based on an existing theoretical model. The main mechanisms of this model have been represented as regression equations, using the LEADSTO modeling environment. A number ofsimulation experiments have been performed, which indicated that the model is adequate for simulating the dynamics of involvement-distance trade-offs and their influence on satisfaction. More specifically, the experiments confirmed the empirical finding that positive features do not exclusively increase involvement.
|Title of host publication||Proceedings of the 30th International Annual Conference of the Cognitive Science Society (CogSci'08)|
|Editors||Vladimir Sloutsky, Bradley C. Love, Ken McRae|
|Place of Publication||Washington, DC|
|Publisher||Cognitive Science Society|
|Number of pages||6|
|Publication status||Published - Jul 2008|