Fast and precise touch-based text entry for head-mounted augmented reality with variable occlusion
cam.issuedOnline | 2018-12-13 | |
dc.contributor.author | Dudley, JJ | |
dc.contributor.author | Vertanen, K | |
dc.contributor.author | Ola Kristensson, P | |
dc.contributor.orcid | Dudley, John [0000-0001-6692-4853] | |
dc.date.accessioned | 2018-10-16T10:36:11Z | |
dc.date.available | 2018-10-16T10:36:11Z | |
dc.date.issued | 2018 | |
dc.description.abstract | <jats:p>We present the VISAR keyboard: An augmented reality (AR) head-mounted display (HMD) system that supports text entry via a virtualised input surface. Users select keys on the virtual keyboard by imitating the process of single-hand typing on a physical touchscreen display. Our system uses a statistical decoder to infer users’ intended text and to provide error-tolerant predictions. There is also a high-precision fall-back mechanism to support users in indicating which keys should be unmodified by the auto-correction process. A unique advantage of leveraging the well-established touch input paradigm is that our system enables text entry with minimal visual clutter on the see-through display, thus preserving the user’s field-of-view. We iteratively designed and evaluated our system and show that the final iteration of the system supports a mean entry rate of 17.75wpm with a mean character error rate less than 1%. This performance represents a 19.6% improvement relative to the state-of-the-art baseline investigated: A gaze-then-gesture text entry technique derived from the system keyboard on the Microsoft HoloLens. Finally, we validate that the system is effective in supporting text entry in a fully mobile usage scenario likely to be encountered in industrial applications of AR HMDs.</jats:p> | |
dc.description.sponsorship | Per Ola Kristensson was supported in part by a Google Faculty research award and EPSRC grants EP/N010558/1 and EP/N014278/1. Keith Vertanen was supported in part by a Google Faculty research award. John Dudley was supported by the Trimble Fund. | |
dc.identifier.doi | 10.17863/CAM.31013 | |
dc.identifier.eissn | 1557-7325 | |
dc.identifier.issn | 1073-0516 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/283643 | |
dc.language.iso | eng | |
dc.publisher | Association for Computing Machinery (ACM) | |
dc.publisher.url | http://dx.doi.org/10.1145/3232163 | |
dc.subject | Augmented reality | |
dc.subject | text entry | |
dc.title | Fast and precise touch-based text entry for head-mounted augmented reality with variable occlusion | |
dc.type | Article | |
dcterms.dateAccepted | 2018-06-09 | |
prism.issueIdentifier | 6 | |
prism.publicationDate | 2018 | |
prism.publicationName | ACM Transactions on Computer-Human Interaction | |
prism.volume | 25 | |
pubs.funder-project-id | EPSRC (1198) | |
pubs.funder-project-id | Engineering and Physical Sciences Research Council (EP/R004471/1) | |
pubs.funder-project-id | Engineering and Physical Sciences Research Council (EP/N014278/1) | |
pubs.funder-project-id | Engineering and Physical Sciences Research Council (EP/N010558/1) | |
rioxxterms.licenseref.startdate | 2018-12-01 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.type | Journal Article/Review | |
rioxxterms.version | AM | |
rioxxterms.versionofrecord | 10.1145/3232163 |
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