Mehu Marc, Scherer Klaus R
Swiss Centre for Affective Sciences, University of Geneva, 7 rue des Battoirs, 1205 Geneva, Switzerland.
Cogn Process. 2012 Oct;13 Suppl 2:397-414. doi: 10.1007/s10339-012-0435-2. Epub 2012 Feb 11.
The emerging field of social signal processing can benefit from a theoretical framework to guide future research activities. The present article aims at drawing attention to two areas of research that devoted considerable efforts to the understanding of social behaviour: ethology and social psychology. With a long tradition in the study of animal signals, ethology and evolutionary biology have developed theoretical concepts to account for the functional significance of signalling. For example, the consideration of divergent selective pressures responsible for the evolution of signalling and social cognition emphasized the importance of two classes of indicators: informative cues and communicative signals. Social psychology, on the other hand, investigates emotional expression and interpersonal relationships, with a focus on the mechanisms underlying the production and interpretation of social signals and cues. Based on the theoretical considerations developed in these two fields, we propose a model that integrates the processing of perceivable individual features (social signals and cues) with contextual information, and we suggest that output of computer-based processing systems should be derived in terms of functional significance rather than in terms of absolute conceptual meaning.
新兴的社会信号处理领域可以从一个理论框架中受益，以指导未来的研究活动。本文旨在提请注意两个在理解社会行为方面投入了大量精力的研究领域：动物行为学和社会心理学。动物行为学和进化生物学在动物信号研究方面有着悠久的传统，它们已经发展出理论概念来解释信号传递的功能意义。例如，对导致信号传递和社会认知进化的不同选择压力的考虑强调了两类指标的重要性：信息线索和交际信号。另一方面，社会心理学研究情绪表达和人际关系，重点关注社会信号和线索产生与解释背后的机制。基于这两个领域发展出的理论思考，我们提出了一个模型，该模型将可感知的个体特征（社会信号和线索）的处理与情境信息相结合，并且我们建议基于计算机的处理系统的输出应该根据功能意义而不是绝对的概念意义来得出。
