Designing With Biobased Composites: Understanding Digital Material Perception Through Semiotic Attributes [* Cross-Reference *]

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Manu Thundathil; Ali Reza Nazmi; Bahareh Shahri; Nick Emerson; Jörg Müssig; Tim Huber, 2026, "Designing With Biobased Composites: Understanding Digital Material Perception Through Semiotic Attributes [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.P2AOEL, LIST Open Repository, V1
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Description
Biobased composites, which are considered a sustainable alternative to plastics, are yet to create a significant influence on product design and manufacturing. A key reason for this is perceptual handicaps associated with biobased composites and this study was aimed at understanding the mechanisms behind biocomposite perception. This study demonstrated that material perception depends on the visual characteristics of the material. Data analysis of the perceptual attributes of the materials pointed towards clear ‘clustering’ of the materials against these attributes. Analysis shows that visual features like fibres and surface appearance may impact aesthetic and functional evaluation and there is no effect of age, gender or polymer type. We also propose a reference framework to categorise biobased composites based on visual order. (2022-12-01)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.31219/osf.io/7ts2x for the original and latest version of the publication*** (2026-07-01)
Subject Engineering; Physics; Social Sciences
Keyword Perception, Biocomposite, Cluster analysis, Materials science, Composite material, Product (mathematics), Computer science, Artificial intelligence, Mathematics, Psychology, Composite number
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