The science of behavioral cybernetics deals with the analysis of human behavior as a closed-loop, self-governed process. Social cybernetics focuses upon the reciprocal feedback interactions between two or more individuals in a group setting. With its dynamic software control capabilities, today's computer represents the first mechanical device in history with the potential for adaptive, integrated control of multiple modalities of sensory feedback from both itself and its human partner. The central thesis of this paper, therefore, is that behavioral cybernetics provides a comprehensive conceptual framework for understanding human-computer interaction as a social cybernetic process. Theoretical and experimental foundations for this concept first are discussed. A social cybernetic model of human-computer interaction is then outlined, which specifies how human and machine are reciprocally yoked to one another through mutual, linked tracking and control of sensory feedback across the interface. The model subsequently is applied to a human factors analysis of advanced manufacturing systems.