Print Email Facebook Twitter Exploring Design Cognition in Voice-Driven Sound Sketching and Synthesis Title Exploring Design Cognition in Voice-Driven Sound Sketching and Synthesis Author Delle Monache, S. (TU Delft Design Aesthetics; TU Delft Industrial Design Engineering) Rocchesso, Davide (Palermo University) Contributor Kronland-Martinet, Richard (editor) Ystad, Sølvi (editor) Aramaki, Mitsuko (editor) Faculty Industrial Design Engineering Date 2021 Abstract Conceptual design and communication of sonic ideas are critical, and still unresolved aspects of current sound design practices, especially when teamwork is involved. Design cognition studies in the visual domain represent a valuable resource to look at, to better comprehend the reasoning of designers when they approach a sound-based project. A design exercise involving a team of professional sound designers is analyzed, and discussed in the framework of the Function-Behavior-Structure ontology of design. The use of embodied sound representations of concepts fosters team-building and a more effective communication, in terms of shared mental models. Subject CollaborationDesign cognitionSound design To reference this document use: http://resolver.tudelft.nl/uuid:4481b23d-1ac8-475e-8921-3454822e4cd5 DOI https://doi.org/10.1007/978-3-030-70210-6_30 Publisher Springer Science+Business Media ISBN 9783030702090 Source Perception, Representations, Image, Sound, Music - 14th International Symposium, CMMR 2019, Revised Selected Papers Event 14th International Symposium on Perception, Representations, Image, Sound, Music, CMMR 2019, 2019-10-14 → 2019-10-18, Marseille, France Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 12631 LNCS Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type conference paper Rights © 2021 S. Delle Monache, Davide Rocchesso Files PDF CMMR19_LNCS_Linko.pdf 7.86 MB Close viewer /islandora/object/uuid:4481b23d-1ac8-475e-8921-3454822e4cd5/datastream/OBJ/view