Adaptive Navigation Methods and Techniques: The Basics.
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1 Adaptive Navigation Methods and Techniques: The Basics
2 The problem Adaptive navigation support is a specific group of technologies that support user navigation in hyperspace, by adapting to the goals, preferences and knowledge of the individual user. Source: Brusilovsky P. (2007) AdapAve NavigaAon Support. In: Brusilovsky P., Kobsa A., Nejdl W. (eds) The AdapAve Web. Lecture Notes in Computer Science, vol Springer, Berlin, Heidelberg 2
3 Motivation Help the user achieve their goals faster Reduce navigaaon overhead Increase user s saasfacaon with the system 3
4 Aims Local Guidance Next best Global Guidance UlAmate goal Guidance OrientaAon Local OrientaAon Local area Global OrientaAon W h o l e Hyperspace 4
5 Adaptation Techniques Source: Brusilovsky, P. AdapAve Hypermedia. In User Modeling and User- Adapted InteracAon (2001) 11: pp
6 Page NavigaAon Fragment A Basic Hypertext 6
7 Adaptation Techniques 7
8 Motivation? Novice users with poor domain knowledge can struggle in making navigaaon choices Fear of ge_ng Lost in Hyperspace J. Conklin, Hypertext: A survey and introducaon, IEEE Computer, 20 (9) :17-41, 1987 Source: Brusilovsky, P.: AdapAve navigaaon support in educaaonal hypermedia: the role of student knowledge level and the case for meta- adaptaaon. BriAsh Journal of EducaAonal Technology 34, 4 (2003)
9 Direct Guidance Direct guidance is the simplest technology for adaptive navigation support. Direct guidance suggests the "next best" node (or sometimes, several alternative nodes) for the user to visit according to the user's goals, knowledge, or/and other parameters that have been represented in the user model. Source: Brusilovsky P. (2007) AdapAve NavigaAon Support. In: Brusilovsky P., Kobsa A., Nejdl W. (eds) The AdapAve Web. Lecture Notes in Computer Science, vol Springer, Berlin, Heidelberg 9
10 Direct Guidance Direct guidance can be presented to the user in two ways Emphasize a link that is already on the page, e.g. Personal WebWatcher Create a dynamic Next link which is connected to the next best page Source: Armstrong, R., Freitag, D., Joachims, T., Mitchell, T.: WebWatcher: A learning apprenace for the World Wide Web. In: Knoblock, C., Levy, A. (eds.) Proc. of AAAI Spring Symposium on InformaAon Gathering from Distributed, Heterogeneous Environments. AAAI Press (1995)
11 Issues with Direct Guidance Does not necessarily simplify the navigaaon What about scrutability? 11
12 Adaptive Link Sorting / Link Ordering The idea of an adaptive sorting or ordering technology is to prioritize all the links of a particular page according to the user model and some user-valuable criteria: the closer to the top, the more relevant the link is. Source: Brusilovsky P. (2007) AdapAve NavigaAon Support. In: Brusilovsky P., Kobsa A., Nejdl W. (eds) The AdapAve Web. Lecture Notes in Computer Science, vol Springer, Berlin, Heidelberg 12
13 User control in Link Ordering Links may be manually reordered by dragging Manual link reordering is considered by the system as a means of relevance feedback and is used to update the user model Confidence metric needed as this implies the user understands the links 13
14 Issues with Link Ordering Unstable link structure Not well suited to Indexes or Table of Contents May make it difficult for the user to understand the scope of the content linked to Appropriate where all or some of the pages have an unstable set of links like adapave news systems 14
15 Link Hiding Source: Paul De Bra, Ad Aerts, Bart Berden, Barend De Lange, Brendan Rousseau, Tomi SanAc, David Smits, Natalia Stash, AHA! The adapave hypermedia architecture, Proceedings of the fourteenth ACM conference on Hypertext and hypermedia,
16 Link Hiding Restricts the navigaaon space by hiding, removing or disabling links to pages deemed irrelevant Reduces cogniave overload by protecang users from the complexity of the whole hyperspace Limited by its binary approach Relevant or not relevant: link shown or not 16
17 Link Annotation Overcomes the binary approach in Link Hiding Augment links with some visual cues to let the user know about the relevance of a page more about the page behind the annotated link Source: Brusilovsky & Weber (2001) Elm- art: An adapave versaale system for web- based instrucaon. InternaAonal Journal of AI in EducaAon, 12(4),
18 Link Annotation Iconographic approaches common Traffic light annotaaon popular Red: unsuitable; Amber: may be suitable; Green: suitable Icons can indicate many things, but care needs to be given to not using too many 18
19 Link Generation AutomaAcally generate links at runame based on semanac similarity of terms in text and other sources Enables web- scale adaptaaon as design Ame knowledge of linked- to resource not needed May be combined with Link AnnotaAon CS7IS5 - AdapAve NavigaAon Methods and Techniques: The Basics 19
20 Issues with Link Generation Growing hyperspace OrientaAon may be an issue CS7IS5 - AdapAve NavigaAon Methods and Techniques: The Basics 20
21 What we covered today 21
22 Reading for next the lecture Brusilovsky P. (2007) AdapAve NavigaAon Support. In: Brusilovsky P., Kobsa A., Nejdl W. (eds) The AdapAve Web. Lecture Notes in Computer Science, vol Springer, Berlin, Heidelberg. Just read pages 1 to
23 Questions? 23
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