Emotion is a foundational component of human cognition, social interaction, and meaning-making. Across cultures and historical periods, humans have relied on complex combinations of visual, auditory, bodily, and contextual cues to express, perceive, and interpret emotional states. In contemporary society, these mechanisms have expanded beyond human-to-human interaction to include mediated environments such as film, digital media, and increasingly, artificial agents such as social robots. This research article presents an extensive theoretical and empirical synthesis of multimodal emotion expression and perception, focusing on the integrated roles of light, color, sound, facial expression, body movement, gesture, and artificial emotional systems. Drawing strictly on the provided references, the study situates emotional communication within a multidisciplinary framework that includes color studies, film sound analysis, linguistics, nonverbal behavior research, cognitive science, philosophy of artificial intelligence, and human–robot interaction.

The article begins by examining how environmental factors such as lighting color influence emotional states such as tension and calm, emphasizing the psychological and perceptual mechanisms underlying these effects (Park & Park, 2014; Lim, 2005). It then explores auditory dimensions of emotion, particularly how sound design in cinematic and everyday contexts shapes emotional interpretation and immersion (Jung & Kim, 2012; Banse & Scherer, 1996). Visual and bodily channels of emotion expression, including facial dynamics, gaze, posture, and gesture, are analyzed in depth, with attention to temporal dynamics, gender differences, and cultural variation (Ekman et al., 2002; Krumhuber et al., 2007; Bente et al., 1998; Elfenbein & Ambady, 2002).

A central contribution of this article lies in its integration of human emotional communication with the emerging field of artificial emotions and social robotics. Philosophical and empirical debates surrounding the possibility of emotion-capable robots are examined, including the distinction between functional emotion simulation and genuine affective experience (Cheon, 2017; Lee, 2018; Waytz & Norton, 2014). By synthesizing findings from humanoid robot studies that combine body movement, sound, and visual cues such as eye color, the article evaluates current approaches to artificial emotion expression and their limitations (Häring et al., 2011).

Through an extended discussion, the article argues that emotion is best understood as a multimodal, context-sensitive, and culturally embedded phenomenon that cannot be reduced to single channels or universal signals. The findings highlight the necessity of integrated models for emotion research and design, particularly in media production and human–robot interaction. Limitations of existing studies and future research directions are discussed, emphasizing ethical, cultural, and methodological considerations. The article concludes by proposing a holistic framework for understanding emotion expression and perception that bridges human communication and artificial systems, contributing to both theoretical advancement and practical application.