When the Image Becomes the Medium: From Textual Compensation to Visual Cognition — Part IV of a Research Program on Communicative Compensation

This research program examined a mechanism of textual and oral compensation: what happens when a communicative deficit in language is met by a substitute channel, and what oral capacity itself is composed of. This paper, Part IV, follows the same mechanism into a domain the first two parts did not address: the substitution not of one linguistic channel for another, but of the image for language altogether. Text-to-image generative AI systems now allow a user to describe a fragment of an idea and receive, within seconds, a complete visual representation of it. This paper asks whether this development is simply a visual extension of the Compensation–Development Gap (CDG) framework proposed in Part II, or whether it marks something categorically different: the emergence of an independent cognitive-visual language. Drawing on Paivio's dual coding theory and the picture superiority effect, Arnheim's account of visual thinking, the literature on cognitive offloading and generative AI, and recent empirical work on text-to-image tools in creative practice, this paper sets out three competing, non-exclusive hypotheses — compensatory extension, emergent visual language, and verbal reduction — and deliberately argues for none of them, specifying instead what would need to be measured to distinguish them in future research.