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Making Smell Actionable in Design: Lexicon, Movement Patterns, and Gesture Cards — arXiv:2611.04609

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.04609
License (as archived): CC0-1.0
Archived: 2026-11-04T21:50:40.562Z
SHA-256 of the archived text: e437630c47b30f846ff5ab5cbdbf5c711328fc9ed84b77d2a3e0976759270c0c
Stable URL of this page: https://metraipolis.com/documento/dc_7bf3299eaade

How to cite

Making Smell Actionable in Design: Lexicon, Movement Patterns, and Gesture Cards — arXiv:2611.04609 — arXiv (en), https://arxiv.org/abs/2611.04609 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_7bf3299eaade (Metraipolis archive dc_7bf3299eaade, sha256 e437630c47b30f846ff5ab5cbdbf5c711328fc9ed84b77d2a3e0976759270c0c)

BibTeX

@misc{dc7bf3299eaade,
  title = {Making Smell Actionable in Design: Lexicon, Movement Patterns, and Gesture Cards — arXiv:2611.04609},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.04609},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_7bf3299eaade; sha256 e437630c47b30f846ff5ab5cbdbf5c711328fc9ed84b77d2a3e0976759270c0c},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.04609. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Smell is powerful in design, yet it often remains vague and difficult to work with in studios and classrooms. While olfactory HCI has produced devices, toolkits, and scenario-based applications, designers still lack teachable, shareable resources that link smell to bodily action. This paper presents a three-phase research program that makes smell actionable by moving from lived smell experiences to movement patterns and, finally, to gesture resources. We study olfactory-motor mappings and package the results as teachable design representations through a progressively narrowing method: (1) extracting smell-verb-intent relations from user narratives; (2) capturing and clustering embodied enactments into standardized upper-limb trajectory families; and (3) translating these trajectories into gesture card representations for design teaching and ideation through design workshops. We present a three-phase translational framework and empirically derived smell-gesture correspondences that structure the smell-intent-trajectory-gesture pathway, together with reusable assets (lexicon, trajectory atlas, gesture tables, and cards) that support teaching, reuse, and adaptation across contexts.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.HC, nuovi lavori del giorno).
Categorie arXiv: Human-Computer Interaction (cs.HC).
Pagina del lavoro: https://arxiv.org/abs/2611.04609 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-04T21:38:34.502Z dalla pagina https://arxiv.org/list/cs.HC/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).