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dc.contributor.authorDudley, Johnen
dc.contributor.authorKristensson, Peren
dc.date.accessioned2018-03-16T10:34:49Z
dc.date.available2018-03-16T10:34:49Z
dc.identifier.issn2160-6455
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/274032
dc.description.abstractInteractive Machine Learning (IML) seeks to complement human perception and intelligence by tightly integrating these strengths with the computational power and speed of computers. The interactive process is designed to involve input from the user but does not require the background knowledge or experience that might be necessary to work with more traditional machine learning techniques. Under the IML process, non-experts can apply their domain knowledge and insight over otherwise unwieldy datasets to find patterns of interest or develop complex data driven applications. This process is co-adaptive in nature and relies on careful management of the interaction between human and machine. User interface design is fundamental to the success of this approach, yet there is a lack of consolidated principles on how such an interface should be implemented. This article presents a detailed review and characterisation of Interactive Machine Learning from an interactive systems perspective. We propose and describe a structural and behavioural model of a generalised IML system and identify solution principles for building effective interfaces for IML. Where possible, these emergent solution principles are contextualised by reference to the broader human-computer interaction literature. Finally, we identify strands of user interface research key to unlocking more efficient and productive non-expert interactive machine learning applications.
dc.publisherAssociation for Computing Machinery
dc.titleA Review of User Interface Design for Interactive Machine Learningen
dc.typeArticle
prism.issueIdentifier2en
prism.number8en
prism.publicationNameACM Transactions on Interactive Intelligent Systemsen
prism.volume8en
dc.identifier.doi10.17863/CAM.21110
dcterms.dateAccepted2018-02-01en
rioxxterms.versionofrecord10.1145/3185517en
rioxxterms.versionAM*
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2018-02-01en
dc.contributor.orcidDudley, John [0000-0001-6692-4853]
dc.identifier.eissn2160-6463
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idEPSRC (1198)
cam.issuedOnline2018-07-14en


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