Intentional Affect: An Alternative Notion of Affective Interaction with a Machine

Affective Computing envisages truly effective human-machine interactions as being affect-sensitive. The field is both motivated and influenced by an understanding of emotion in an environment, that of person to person, that differs from its eventual application, person to machine. Analysing data obtained in a potential application environment – computerassisted learning – we highlight the limitations of such an understanding and propose an alternative stance to affect, that of intentional affective interaction.