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dc.contributor.authorHetzel, Lorenz
dc.contributor.authorDudley, John
dc.contributor.authorFeit, Anna Maria
dc.contributor.authorKristensson, Per Ola
dc.date.accessioned2021-08-24T23:30:16Z
dc.date.available2021-08-24T23:30:16Z
dc.date.issued2021-11
dc.identifier.issn1077-2626
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/327095
dc.description.abstractAccurately modelling user behaviour has the potential to significantly improve the quality of human-computer interaction. Traditionally, these models are carefully hand-crafted to approximate specific aspects of well-documented user behaviour. This limits their availability in virtual and augmented reality where user behaviour is often not yet well understood. Recent efforts have demonstrated that reinforcement learning can approximate human behaviour during simple goal-oriented reaching tasks. We build on these efforts and demonstrate that reinforcement learning can also approximate user behaviour in a complex mid-air interaction task: typing on a virtual keyboard. We present the first reinforcement learning-based user model for mid-air and surface-aligned typing on a virtual keyboard. Our model is shown to replicate high-level human typing behaviour. We demonstrate that this approach may be used to augment or replace human testing during the validation and development of virtual keyboards.
dc.format.mediumPrint-Electronic
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAll rights reserved
dc.titleComplex Interaction as Emergent Behaviour: Simulating Mid-Air Virtual Keyboard Typing using Reinforcement Learning.
dc.typeArticle
prism.publicationDate2021
prism.publicationNameIEEE Trans Vis Comput Graph
prism.volumePP
dc.identifier.doi10.17863/CAM.74549
dcterms.dateAccepted2021-07-03
rioxxterms.versionofrecord10.1109/TVCG.2021.3106494
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-08-27
dc.contributor.orcidKristensson, Per Ola [0000-0002-7139-871X]
dc.identifier.eissn1941-0506
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/S027432/1)
cam.orpheus.successMon Sep 13 07:30:24 BST 2021 - Embargo updated
cam.orpheus.counter2
rioxxterms.freetoread.startdate2021-08-27


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