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The results of one empirical study are presented to investigate whether voice recognition might profitably be integrated into a single IAC network for person perception. An identity priming paradigm was used to determine whether face perception and voice perception combined to influence one another. The results revealed within-modality priming of faces by prior presentations of faces, and of voices by prior presentation of voices. Critically, cross-modality priming was also revealed, confirming that the two modalities can be represented within a single system and can influence one another. These results are supported by the results of a simulation, and are discussed in terms of the theoretical development of IAC, and the benefits and future questions that arise from consideration of an integrated multimodal model of person perception.
Stevenage et al. (Tue,) studied this question.