Adaptive User Interfaces for Mobile Computing Devices
| dc.contributor.author | Bridle, Robert Angus | en_US |
| dc.date.accessioned | 2010-06-01T06:59:01Z | en_US |
| dc.date.accessioned | 2011-01-04T02:35:09Z | |
| dc.date.available | 2010-06-01T06:59:01Z | en_US |
| dc.date.available | 2011-01-04T02:35:09Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | This thesis examines the use of adaptive user interface elements on a mobile phone and presents two adaptive user interface approaches. The approaches attempt to increase the efficiency with which a user interacts with a mobile phone, while ensuring the interface remains predictable to a user. ¶ ... | en_US |
| dc.identifier.other | b23690434 | |
| dc.identifier.uri | http://hdl.handle.net/1885/49308 | |
| dc.language.iso | en | en_US |
| dc.rights.uri | The Australian National University | en_US |
| dc.subject | mobile computing, adaptive, machine learning, user interface, concept drift | en_US |
| dc.title | Adaptive User Interfaces for Mobile Computing Devices | en_US |
| dc.type | Thesis (PhD) | en_US |
| dcterms.valid | 2008 | en_US |
| local.contributor.affiliation | Department of Computer Science, College of Engineering and Computer Sciences | en_US |
| local.contributor.affiliation | The Australian National University | en_US |
| local.description.refereed | yes | en_US |
| local.identifier.doi | 10.25911/5d7a2c72dcfe3 | |
| local.mintdoi | mint | |
| local.type.degree | Doctor of Philosophy (PhD) | en_US |