Towards Design of High-Level Synthetic Sensors for Socially-Competent Computing Systems

Abstract

The chapter presents a conceptual model for high-level synthetic sensor design in present-day Web x.0 mediated socially-competent computing systems. The aim is design of computing systems that are able to operate on the social level of description of a situation in a way similar to people reading social cues. The overall perceptive ability of human vision relies on high level, integrative sensors for detecting complex diffuse influences. It is proposed by the current approach that the recognition of the agent's attitude by the synthetic sensor can help identify correctly the intention for the action by considering the attitude being the more general context of the emerging situation-dependent intention. Possibilities for application of the proposed theoretical approach to education of people with special learning needs or style are discussed.