Communication signals often comprise an array of colors, lines, spots, notes or odors that are arranged in complex patterns, melodies or blends. Receiver perception is assumed to influence preference and thus the evolution of signal design, but evolutionary biologists still struggle to understand how perception, preference, and signal design are mechanistically linked. In parallel, the field of empirical aesthetics aims to understand why people like some designs more than others. The model of processing bias discussed here is rooted in empirical aesthetics, which posits that preferences are influenced by the emotional system as it monitors the dynamics of information processing, and that attractive signals have either effective designs that maximize information transmission, efficient designs that allow information processing at low metabolic cost, or both. We refer to the causal link between preference and the emotionally rewarding experience of effective and efficient information processing as the processing bias, and we apply it to the evolutionary model of sensory drive. A sensory drive model that incorporates processing bias hypothesizes a causal chain of relationships between the environment, perception, pleasure, preference, and ultimately the evolution of signal design, from simple to complex.
GlossaryEfficacy: optimizing information processing at any cost. Efficiency: information processing with an optimal use of resources. Feature: measurable property of a stimulus. Information: property of a stimulus that reduces uncertainty about the environment. Information processing: describes how information is received, transmitted in the nervous system, coded, stored and retrieved in the animal brain and sensory systems. Neuronal selectivity: the range of stimulus features that activate a neuron. Processing bias: judgment modulated by affect, which is influenced by the level of efficacy and efficiency in information processing. In cognitive sciences, processing bias is often referred to as an aesthetic judgment. Sensory drive: the hypothesis that the tuning of perceptual and cognitive systems to effectively and efficiently process information in environmental stimuli generates selection on communication signals due to a direct effect of effective and efficient processing on receiver preference. Stimulus: component of the external environment causing a physiological response (e.g., a landscape, an individual or a communication signal).