Effective caregiver-infant communication occurs when interactive partners successfully coordinate multiple modalities (e.g., body movements, affect, eye gaze). The complex interplay of multiple modalities during caregiver-infant interactions is difficult to capture, which has made a comprehensive, evidence-based understanding of caregiver-infant communication difficult to achieve. We present a novel methodological approach to address this challenge by combining an Interactive Partner Swap (IPS) paradigm with a longitudinal design, detailed multimodal coding, and data visualization via state space grids (SSGs). We demonstrate the utility of our approach by presenting three sets of SSGs which reveal both dyadic flexibility and stability in caregiver-infant peek-a-boo interactions across three levels: micro (moment-to-moment), meso (interactive context), and macro (infant development). By using SSGs to explore the patterns that hold and others that differ systematically across interactive partner and infant development, our novel approach promises to offer critical first steps to creating a more detailed understanding of the dynamics of early multimodal communication.

当互动伙伴成功协调多种方式（例如，身体运动、情感、眼睛注视）时，就会发生有效的照顾者-婴儿交流。照顾者-婴儿互动过程中多种方式的复杂相互作用难以捕捉，这使得难以实现对照顾者-婴儿交流的全面、基于证据的理解。我们通过将交互式合作伙伴交换 (IPS) 范式与纵向设计、详细的多模式编码和通过状态空间网格 (SSG) 的数据可视化相结合，提出了一种新的方法论方法来应对这一挑战。我们通过展示三组 SSG 来展示我们方法的实用性，这些 SSG 在三个层面上揭示了看护者-婴儿躲猫猫互动的二元灵活性和稳定性：微观（瞬间）、中观（交互式上下文）和宏观（婴儿发展）。通过使用 SSG 来探索在互动合作伙伴和婴儿发展中保持的模式和其他系统不同的模式，我们的新方法有望提供关键的第一步，以更详细地了解早期多模态交流的动态。