Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia 2011
DOI: 10.1145/1995966.1995986
|View full text |Cite
|
Sign up to set email alerts
|

An experience using a spatial hypertext Wiki

Abstract: Most wikis do not allow users to collaboratively organize relations among wiki pages, nor ways to visualize them because such relations are hard to express using hyperlinks. The Spatial Hypertext Wiki (ShyWiki) is a wiki that uses Spatial Hypertext to represent visual and spatial implicit relations. This paper reports an experience about the use of ShyWiki features and its spatial hypertext model. Four groups, consisting of 3 members each, were asked to use ShyWiki for creating, sharing and brainstorming knowl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2012
2012
2016
2016

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 29 publications
0
2
0
Order By: Relevance
“…Solis et al describe a spatial hypertext systems for AK retrieval in [31] and its qualitative evaluation in [32], which is the only study on using spatial hypertext for AK retrieval that we know of.…”
Section: Hypertext Documentation and Its Issuesmentioning
confidence: 99%
“…Solis et al describe a spatial hypertext systems for AK retrieval in [31] and its qualitative evaluation in [32], which is the only study on using spatial hypertext for AK retrieval that we know of.…”
Section: Hypertext Documentation and Its Issuesmentioning
confidence: 99%
“…Take, for instance, the learning of user characteristics from social tagging behavior [49]. WikiNect shares with the Spatial Hypertext Wiki (ShyWiki) [52] that it allows users not only to organize relations collaboratively among wiki pages, but also to visualize them. Since gestures are visuo-spatial in nature, WikiNect also contributes to setting up a (more apt) multimodal vocabulary for the problem of finding visual notions for spatial hypertext [5].…”
Section: Related Workmentioning
confidence: 99%