ProTrans: Projecting In-Place Translations for Printed Text

dc.contributor.authorGrünwald, Dustinen_US
dc.contributor.authorImoto, Yusukeen_US
dc.contributor.authorTaninaka, Isabella Mikaen_US
dc.contributor.authorSato, Kosukeen_US
dc.contributor.authorIwai, Daisukeen_US
dc.contributor.editorJorge, Joaquim A.en_US
dc.contributor.editorSakata, Nobuchikaen_US
dc.date.accessioned2025-11-26T09:22:01Z
dc.date.available2025-11-26T09:22:01Z
dc.date.issued2025
dc.description.abstractReading unknown words in non-native languages can hinder comprehension or slow reading by requiring dictionary consultation. Existing solutions for faster lookup only work digitally or, in the case of printed text, require a separate display. To enable a more seamless reading experience in the latter scenario, we present ProTrans (Projected Translation), a projector-camera system that detects words users point to and projects their translations onto nearby surfaces. We compare three projection targets-paper, finger, and hand-and gather initial user feedback. Results indicate that projecting onto the back of the hand balances legibility and viewing comfort, supporting the feasibility of skin-based projection for translation tasks.en_US
dc.description.sectionheadersInterfaces
dc.description.seriesinformationICAT-EGVE 2025 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
dc.identifier.doi10.2312/egve.20251352
dc.identifier.isbn978-3-03868-278-3
dc.identifier.issn1727-530X
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/egve.20251352
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/egve20251352
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Mixed / augmented reality; Interaction techniques; Computing methodologies → Machine translation; Computer vision
dc.subjectHuman centered computing → Mixed / augmented reality
dc.subjectInteraction techniques
dc.subjectComputing methodologies → Machine translation
dc.subjectComputer vision
dc.titleProTrans: Projecting In-Place Translations for Printed Texten_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
egve20251352.pdf
Size:
8.52 MB
Format:
Adobe Portable Document Format
Collections