Leda Berio

This chapter treats substantial self-knowledge – that is knowledge about our values, character, and dispositions – in relation to self-directed mindshaping mechanisms. In particular, I consider character trait self-attributions and how their mindshaping effects can be accounted for in terms of virtual social models proposed by Zawidzki and the agentialist framework defended by McGeer. I focus on cases of norm change and affective conflict to show how, in these cases, our mindshaping activities include self-ascriptions that have inferentialist and interpretative uses – that is, that are based on inferences from our behavior and other evidence – as well as prescriptive functions.

Constructivist theories of emotions and empirical studies have been increasingly stressing the role of contextual information and cultural conventions in emotion recognition. We propose a new account of emotion recognition and attribution that systematically integrates these aspects, and argue that emotion recognition is part of the general process of person impression formation. To describe the structural organization and the role of background information in emotion recognition and attribution, we introduce situation models and personal models. These models constitute the top-level structures in a complex hierarchy of dimensions which considers different types of basic emotion cues. Thus, we propose a multidimensional account of emotion recognition which enables us to integrate the top-down and bottom-up processes involved: basic emotion cues in certain contexts can trigger situation models and person models, which influence emotion recognition which, in turn, reinforce or modify these models. We argue that this kind of loop deeply affects the way emotions enter our social interactions. Our account is in line with the “normative turn” of social cognition, that stresses the way social expectations actively shape the patterns we recognize, and make, in our social world.