Conference Paper/Proceeding/Abstract 1686 views
Investigating collaborative annotation on slate pcs
MobileHCI '12: Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services, Pages: 413 - 416
Swansea University Authors:
Jen Pearson , Harold Thimbleby
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DOI (Published version): 10.1145/2371574.2371637
Abstract
Mobile reading is becoming evermore popular with the introduction of eInk devices such as the Kindle, as well as the many reading applications available on slate PCs and cellular handsets. The portable nature and large storage capacity of these modern mobile devices is making reading a more technolo...
| Published in: | MobileHCI '12: Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services |
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| ISBN: | 9781450311052 |
| Published: |
New York, NY, United States
Association for Computing Machinery (ACM)
2012
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa19250 |
| Abstract: |
Mobile reading is becoming evermore popular with the introduction of eInk devices such as the Kindle, as well as the many reading applications available on slate PCs and cellular handsets. The portable nature and large storage capacity of these modern mobile devices is making reading a more technology orientated activity. One aspect of mobile reading that has been given surprisingly little attention is collective reading - which is a common activity with paper documents. We investigate the support of group reading using slate PCs, focussing on collective annotation. In the past, desktop PCs have proved inferior in many ways for reading, when compared to paper. Notably, user evaluations of our new system, BuddyBooks, demonstrate that the slate PC form factor can, in contrast, provide advantages for group reading. While annotation practices change with the new format, coordinating within the group can be improved when touch-interaction is carefully exploited. |
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| Keywords: |
Documents, Annotation, Collaboration, Slate PCs |
| College: |
Faculty of Science and Engineering |
| Funders: |
This work was supported by Microsoft Research Cambridge, and EPSRC grants EP/F041217 and EP/G003971/1. |
| Start Page: |
413 |
| End Page: |
416 |

