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Investigating collaborative annotation on slate pcs

Jen Pearson Orcid Logo, George Buchanan, Harold Thimbleby Orcid Logo

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 Orcid Logo, Harold Thimbleby Orcid Logo

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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...

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Published in: MobileHCI '12: Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services
ISBN: 9781450311052
Published: New York, NY, United States Association for Computing Machinery (ACM) 2012
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.
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