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Traditionally, studies that explored animal communication have been directed towards the observation of natural interactions
between individuals. Over the years, researchers have long championed the use of artificial stimuli in place of natural ones
in behavioral experiments to precisely control what the observers get to see or experience. The employment of diverse techniques
to stage animal interactions has provided an alternative to observations and intrusive experimental methods. Technological
advances now allow researchers to develop realistic computer animations of social partners that mimic behaviors with a high
degree of fidelity for morphological and behavioral characteristics of tutors. The increasing use of the computer-generated
animations technique reveals a desire to deliver standardized visual stimuli and to limit the variable behavior of demonstrators
across experimental sessions. In the following review, we provide an appraisal of the computer-generated animations efficiency
to stage animal interactions, and consider experimental studies in which this technique has been employed to simulate social
interactions. We also present alternative methods that are used for designing animation models. Our aim is to evaluate the
merits of computer-generated animations and how this technique may be more appropriate for certain types of staged interactions
when compared to other classically employed approaches. We advocate that computer-generated animations appear to be the most
flexible technique to date, and offers better control of visual cues that are presented, thus allowing researchers to program
a large variety of stimuli. Finally, we suggest improvements of this technique, and especially how it may be used to study
signal design in multimodal systems. 相似文献