Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/49097
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dc.contributor.advisorRamakers-
dc.contributor.authorCLAESEN, Maties-
dc.contributor.authorKONINGS, Stig-
dc.contributor.authorLEEN, Danny-
dc.contributor.authorVANACKEN, Davy-
dc.contributor.authorRAMAKERS, Raf-
dc.date.accessioned2026-05-18T09:57:03Z-
dc.date.available2026-05-18T09:57:03Z-
dc.date.issued2026-
dc.date.submitted2026-05-04T11:37:50Z-
dc.identifier.citationOliver, Nuria; Shamma, David A.; Candello, Heloisa; Cesar, Pablo; Lopes, Pedro; Artizzu, Valentino; Draxler, Fiona; López, Gustavo; Reinschluessel, Anke V.; Tong, Xin; Toups Dugas, Phoebe O. (Ed.). CHI EA '26: Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, (Art N° 582)-
dc.identifier.isbn9798400722813-
dc.identifier.urihttp://hdl.handle.net/1942/49097-
dc.description.abstractDigital fabrication makes it easy to prototype how artifacts look, yet it remains hard to prototype how moving parts feel when used. For many 3D-printed interfaces such as lids, sliders, dials, and latches, perceived usability and quality depend on the motion’s haptic profile. This profile includes resistance, detents, damping, friction, and end-stops. While prior work offers many mechanisms and authoring approaches, designers still face a practical bottleneck. They must converge on a specific intended feel in the final object under real grip, leverage, enclosure contact, and fabrication variation. We argue that tooling should center iterative perceptual matching (IPM), where designers compare candidates in context and refine based on perceived differences rather than low-level parameters. To support this workflow, we outline two physical preview methods. Modular passive props enable fast in-object swapping of fabricated candidates. Reconfigurable haptic peripherals allow rapid programmatic exploration of candidate profiles before committing to fabrication. Building on these directions, we propose an agenda for IPM centered tools that help interpret relative feedback, choose meaningful step sizes, scale control granularity, and maintain perceptual consistency across fabrication iterations.-
dc.description.sponsorshipThis work was funded by the Flemish Government and by the Special Research Fund (BOF) of Hasselt University, BOF25OWB01. The infrastructure for this work is funded by the European Union – NextGenerationEU project MAXVR-INFRA and the Flemish government. This research was partially supported by Flanders Make, the strategic research center for the manufacturing industry in Flanders.-
dc.language.isoen-
dc.publisherAssociation for Computing Machinery-
dc.rights2026 Copyright held by the owner/author(s). Published by ACM under license CC-BY-NC-ND 4.0.-
dc.subject.otherDesigning Software-
dc.subject.otherHaptic devices-
dc.subject.otherComputer Aided Design-
dc.subject.otherSound-based input / output-
dc.subject.otherContextual design-
dc.subject.otherInterface design prototyping-
dc.titleSeeing Isn't Feeling: A Tooling Agenda for Iterative Perceptual Matching in Fabricated Mechanisms-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsOliver, Nuria-
local.bibliographicCitation.authorsShamma, David A.-
local.bibliographicCitation.authorsCandello, Heloisa-
local.bibliographicCitation.authorsCesar, Pablo-
local.bibliographicCitation.authorsLopes, Pedro-
local.bibliographicCitation.authorsArtizzu, Valentino-
local.bibliographicCitation.authorsDraxler, Fiona-
local.bibliographicCitation.authorsLópez, Gustavo-
local.bibliographicCitation.authorsReinschluessel, Anke V.-
local.bibliographicCitation.authorsTong, Xin-
local.bibliographicCitation.authorsToups Dugas, Phoebe O.-
local.bibliographicCitation.conferencedate2026, April 12-18-
local.bibliographicCitation.conferencenameCHI Conference on Human Factors in Computing Systems-
local.bibliographicCitation.conferenceplaceBarcelona, Spain-
local.format.pages6-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper - Abstract-
local.bibliographicCitation.artnr582-
dc.identifier.doi10.1145/3772363.3798885-
local.provider.typePdf-
local.bibliographicCitation.btitleCHI EA '26: Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems-
local.uhasselt.internationalno-
item.fullcitationCLAESEN, Maties; KONINGS, Stig; LEEN, Danny; VANACKEN, Davy & RAMAKERS, Raf (2026) Seeing Isn't Feeling: A Tooling Agenda for Iterative Perceptual Matching in Fabricated Mechanisms. In: Oliver, Nuria; Shamma, David A.; Candello, Heloisa; Cesar, Pablo; Lopes, Pedro; Artizzu, Valentino; Draxler, Fiona; López, Gustavo; Reinschluessel, Anke V.; Tong, Xin; Toups Dugas, Phoebe O. (Ed.). CHI EA '26: Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, (Art N° 582).-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.contributorCLAESEN, Maties-
item.contributorKONINGS, Stig-
item.contributorLEEN, Danny-
item.contributorVANACKEN, Davy-
item.contributorRAMAKERS, Raf-
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