Large-Scale Display Interaction Techniques to Support Face-to-Face Collaboration
| dc.contributor.author | Thompson, David John | en |
| dc.date.accessioned | 2008-09-07T22:50:44Z | |
| dc.date.available | 2008-09-07T22:50:44Z | |
| dc.date.issued | 2006 | en |
| dc.description.abstract | This research details the development of a large-scale, computer vision-based touch screen capable of supporting a large number of simultaneous hand interactions. The system features a novel lightweight multi-point tracking algorithm to improve real-time responsiveness. This system was trialled for six months in an exhibition installation at World Expo 2005 in Aichi, Japan, providing a robust, fault-tolerant interface. A pilot study was then conducted to directly compare the system against other, more established input methods (a single-touch case, a two-mouse case and a physical prototype) to determine the effectiveness and affordances of the multi-touch technology for arranging information on a large-scale wall space in a paired collaborative task. To assist in this study, a separate visualisation and interaction classification tool was developed, allowing the replay of XML log data in real time to assist in the video analysis required for observation and hypothesis testing. | en |
| dc.identifier.uri | http://hdl.handle.net/10092/1192 | |
| dc.identifier.uri | http://dx.doi.org/10.26021/3202 | |
| dc.language.iso | en | |
| dc.publisher | University of Canterbury. Computer Science and Software Engineering | en |
| dc.relation.isreferencedby | NZCU | en |
| dc.rights | Copyright David John Thompson | en |
| dc.rights.uri | https://canterbury.libguides.com/rights/theses | en |
| dc.subject | computer vision | en |
| dc.subject | human-computer interaction | en |
| dc.subject | touch interface | en |
| dc.subject | infra-red camera | en |
| dc.subject | user study | en |
| dc.subject | perceptual interface | en |
| dc.subject | visualisation tool | en |
| dc.title | Large-Scale Display Interaction Techniques to Support Face-to-Face Collaboration | en |
| dc.type | Theses / Dissertations | |
| thesis.degree.discipline | Computer Science | en |
| thesis.degree.grantor | University of Canterbury | en |
| thesis.degree.level | Masters | en |
| thesis.degree.name | Master of Science | en |
| uc.bibnumber | 1065369 | en |
| uc.college | Faculty of Engineering | en |
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