Towards a user-adapted information environment on the Web (original) (raw)

Efficient Techniques for Adaptive Hypermedia

1997

Adaptive hypermedia is a new direction of research within the area of adaptive and user model-based interfaces. Adaptive hypermedia (AH) systems build a model of the individual user and apply it for adaptation to that user, for example, to adapt the content of a hypermedia page to the user's knowledge and goals, or to suggest the most relevant links to follow. AH systems are now used in several application areas where the hyperspace is reasonably large and where a hypermedia application is expected to be used by users with different goals, knowledge and backgrounds. This chapter provides a brief survey of existing adaptive hypermedia techniques. Special attention is paid to the techniques implemented in the World Wide Web and to techniques which have been approved by an experimental study and shown to be effective. Among few others approved techniques we describe adaptive annotation techniques developed by our group at the Moscow State University.

Supporting user adaptation in adaptive hypermedia applications

2000

Abstract: A hypermedia application offers its users a lot of freedom to navigate through a large hyperspace. The rich link structure of the hypermedia application can not only cause users to get lost in the hyperspace, but can also lead to comprehension problems because different users may be interested in different pieces of information or a different level of detail or difficulty. Adaptive hypermedia systems (or AHS for short) aim at overcoming these problems by providing adaptive navigation support and adaptive content.

Introduction to Special Issue on Adaptive Hypermedia

The New Review of Hypermedia and Multimedia, 2009

Already in the earliest ideas leading up to hypermedia, starting with Vannevar Bush's Memex (Bush 1945), the personal view of and access to and through information was a key aspect of hypertext and hypermedia research. In traditional hypertext, personalization was user-driven: the existence of links enabled each user to follow his/her own path through the hyperspace. However, since about 1990, the topic of system-driven personalization has started to receive more attention. Instead of just the user selecting a personal path through hyperspace personalized, dynamic and/or adaptive hyperdocuments change the hyperspace itself as the user is traversing (or otherwise using) it. The mid-1990s mark the start of serious research into hypertext, hypermedia, and later Web personalization and adaptation and the emergence of an active adaptive hypermedia community with workshops on adaptive hypermedia at the User Modeling, the ACM Hypertext and the World Wide Web conferences. This has culminated in the start of a separate biannual conference series on Adaptive Hypermedia, the first one in Trento, Italy, in August 2000. Adaptive Hypermedia conferences alternated with the User Modeling conferences, showing, year by year, an increasing overlap in interest and attendance as adaptation heavily relies on user modeling and user modeling is almost always done in order to achieve some form of adaptation or personalization. The year 2008 marked the end of the separate conference series, and the merger of the Adaptive Hypermedia and User Modeling events into a new annual conference on User Modeling, Adaptation and Personalization. Adaptive Hypermedia has come of age and become an important component of the global research on adaptation and personalization. This special issue, third in the line of NRHM special issues devoted to Adaptive Hypermedia (after NRHM 4, 1998 and NRHM 10(1), 2004) attempts to present a snapshot of Adaptive Hypermedia research in this important point of time. Building on recent Adaptive Hypermedia conferences and ACM Hypertext conferences, this special issue brings together an interesting mix of recent developments. Even though unplanned at the time of soliciting papers, we ended up with an outstanding mix of AH-related topics, describing technical issues as well as the usability of adaptive applications. The first paper in this special issue brings together the past and future. Appropriately titled AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques (Knutov, De Bra, Pechenizkiy), it reflects on the AH research since the seminal paper (Brusilovsky 1996) ''Methods and techniques of adaptive hypermedia'' that has become a standard reference in

State of the Art: Adaptive Hypermedia

2003

Adaptive Hypermedia (AH) is one of the most promising application areas for user modelling and useradapted interaction techniques [Brusilovsky, 94]. AH systems can be useful in any situation were the system may be used by people with different goals and knowledge and where the hyperspace is reasonably large. Users with different goals and knowledge may be interested in different pieces of information presented on a Hypermedia page and/or may use different links to navigate to those pages.

An assessment of human factors in adaptive hypermedia environments

2009

The plethora of information and services as well as the complicated nature of most Web structures intensify the navigational difficulties that arise when users navigate their way through this large information space. Personalized services that are highly sensitive to the immediate environment and the goals of the user can alleviate the orientation and presentation difficulties experienced by the relatively diverse user population. User profiles serves as the main component of most Web personalization systems. Main scope of this chapter is to present the various techniques employed by such systems with regards to user profiles extraction and introduce a comprehensive user profile, which includes User Perceptual Preference Characteristics. It further analyzes the main intrinsic users' characteristics like visual, cognitive, and emotional processing parameters incorporated as well as the "traditional" user profile characteristics that together tend to give the most optimized personalization outcome. It finally overviews a Web adaptation and personalization system and presents evaluation results that further support the importance of human factors in the information space.