Retrocomputing as a Model for Sustainable and Cognitive Computing: Lessons from Low-Resource Systems
This paper argues that retrocomputing constitutes a conceptually productive model for rethinking sustainability in contemporary computing. Early computing systems operated under strict hardware constraints, necessitating efficiency, clarity, and minimalism in both software and interaction design. In contrast, contemporary systems are frequently characterised by computational excess, software bloat, and attention-fragmenting interfaces. Drawing on examples from early home computing and command-line environments, this paper analyses how low-resource systems make visible forms of computational minimalism with relevance to present-day design challenges. A central theoretical contribution is the distinction between interface-level and system-structure-level design analysis, which demonstrates that cognitive effects arise not only from visual and interactional surface features but from deeper computational organisation. The discussion integrates perspectives from human-computer interaction and cognitive science, particularly in relation to attention, cognitive load, and user experience. The paper adopts a conceptual and exploratory approach grounded in systematic literature review, aiming to identify design-relevant patterns rather than to provide empirical validation. It introduces the concepts of computational minimalism and cognitive sustainability as complementary analytical frameworks, and derives five principles for sustainable system design. Crucially, the paper also address

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Retrocomputing as a Model for Sustainable and Cognitive Computing: Lessons from Low-Resource Systems

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