Generic adaptation framework for unifying adaptive web-based systems

The Generic Adaptation Framework (GAF) research project first and foremost creates a common formal framework for describing current and future adaptive hypermedia (AHS) and adaptive webbased systems in general. It provides a commonly agreed upon taxonomy and a reference model that encompasses the most general architectures of the present and future, including conventional AHS, and different types of personalization-enabling systems and applications such as recommender systems (RS) personalized web search, semantic web enabled applications used in personalized information delivery, adaptive e-Learning applications and many more. At the same time GAF is trying to bring together two (seemingly not intersecting) views on the adaptation: a classical pre-authored type, with conventional domain and overlay user models and data-driven adaptation which includes a set of data mining, machine learning and information retrieval tools. To bring these research fields together we conducted a number GAF compliance studies including RS, AHS, and other applications combining adaptation, recommendation and search. We also performed a number of real systems’ case-studies to prove the point and perform a detailed analysis and evaluation of the framework. Secondly it introduces a number of new ideas in the field of AH, such as the Generic Adaptation Process (GAP) which aligns with a layered (data-oriented) architecture and serves as a reference adaptation process. This also helps to understand the compliance features mentioned earlier. Besides that GAF deals with important and novel aspects of adaptation enabling and leveraging technologies such as provenance and versioning. The existence of such a reference basis should stimulate AHS research and enable researchers to demonstrate ideas for new adaptation methods much more quickly than if they had to start from scratch. GAF will thus help bootstrap any adaptive web-based system research, design, analysis and evaluation

Bridging versioning and adaptive hypermedia in the dynamic web

Web Dynamics has been recently considered in the context of the analysis of how people search and re-search information on the web. There are lots of challenges and opportunities when considering user behaviour. In this paper we propose the way to tackle some of them by applying versioning methodologies (as a backend solution) in the context of content changes, user re-visitations and re-searches on the web, as well as Adaptive Hypermedia (AH) techniques to overcome visualisation issues (as a frontend solution). Essentially we bridge versioning and AH in the field of Web Dynamics showing how versioning helps to make the adaptation scrutable

Bridging recommendation and adaptation:generic adaptation framework - twittomender compliance study

In this paper we consider Recommender System (RS) modeling in terms of Adaptive Hypermedia Systems (AHS) and investigate AHS and RS functionality compliance in terms of common features, functionality, building blocks and composition of the system. We bring up complementary aspects of adaptation, personalization and recommendation in a context of a generic framework which provides properties of information fusion and heterogeneity and could serve as a reference model. We show major recommendation functionality in terms of the reference structure and recommendation process by presenting a conceptual generic ‘adaptation-recommendation’ sequence chart which overlays and combines properties of adaptation and recommendations taking advantages of both. In fact we show that RS if implemented on the web can be considered as AHS, in this wise a generic framework should be capable of describing virtually any RS. In the case study we scrutinize the Twittomender3 RS. We decompose the system in building blocks, outline and highlight its properties along with the advantages and possible enhancements. We conclude by summarizing framework advantages and AH recommendation compliant features as well as lessons learned from this study

Patient condition modeling in remote patient management : hospitalization prediction

In order to maintain and improve the quality of care without exploding costs, healthcare systems are undergoing a paradigm shift from patient care in the hospital to patient care at home. Remote patient management (RPM) systems offer a great potential in reducing hospitalization costs and worsening of symptoms for patients with chronic diseases, e.g., heart failure and diabetes. Different types of data collected by RPM systems provide an opportunity for personalizing information services, and alerting medical personnel about the changing conditions of the patient. In this work we focus on a particular problem of patient modeling that is the hospitalization prediction. We consider the problem definition, our approach to this problem, highlight the results of the experimental study and reflect on their use in decision making

Authoring of adaptive serious games

Game-based approaches to learning are increasingly being recognized as having the potential to stimulate intrinsic motivation amongst learners. Whilst a range of examples of effective serious games exist, creating the high-fidelity content with which to populate a serious game is resource-intensive task. To reduce this resource requirement, research is increasingly exploring means to reuse and repurpose existing games and relevant sources of content. Education has proven a popular application area for Adaptive Hypermedia, as adaptation can offer enriched learning experiences to students. Whilst content to-date has mainly been in the form of rich text, various efforts have been made to integrate Serious Games into Adaptive Hypermedia via run-time adaptation engines. However, there is little in the way of effective integrated authoring and user modeling support for these efforts. This paper explores avenues for effectively integrating serious games into adaptive hypermedia. In particular, we consider authoring and user modeling aspects in addition to integration into run-time adaptation engines, thereby enabling authors to create Adaptive Hypermedia that includes an adaptive game, thus going beyond mere selection of a suitable game and towards an approach with the capability to adapt and respond to the needs of learners and educators

Integrating serious games in adaptive hypermedia applications for personalised learning experiences

Game-based approaches to learning are increasingly recognized for their potential to stimulate intrinsic motivation amongst learners. While a range of examples of effective serious games exist, creating high-fidelity content with which to populate games is resource-intensive task. To reduce this resource requirement, research is increasingly exploring means to reuse and repurpose existing games. Education has proven a popular application area for Adaptive Hypermedia (AH), as adaptation can offer enriched learning experiences. Whilst content has mainly been in the form of rich text, various efforts have been made to integrate serious games into AH. However, there is little in the way of effective integrated authoring and user modeling support. This paper explores avenues for effectively integrating serious games into AH. In particular, we consider authoring and user modeling aspects in addition to integration into run-time adaptation engines, thereby enabling authors to create AH that includes an adaptive game, thus going beyond mere selection of a suitable game and towards an approach with the capability to adapt and respond to the needs of learners and educators

GAF : Generic Adaptation Framework

The Generic Adaptation Framework research project aims to develop a new reference model for the adaptive information systems research field. The new model will extend the well known AHAM reference model, taking into account newly developed techniques and methodologies in this area as well as attempts to capture them in architecture models such as the Munich Reference Model [4], LAOS/LAG [2], [5] and the extension from pure adaptive hypermedia to adaptive information systems, as studied in the Hera research program for instance [6]

Generic adaptation process

Adaptive Hypermedia Systems (AHS) have long been mainly represented by domain- or application-specific systems. Few reference models exist and they provide only a brief overview of how to describe and organize the ‘adaptation process’ in a generic way. In this paper we consider the process aspects of AHS from the very first classical ‘user modelling-adaptation’ loop to a generic detailed flowchart of the adaptation in AHS.We introduce a Generic Adaptation Process and by aligning it with a layered (data-oriented) AHS architecture we show that it can serve as the process part of a new reference model for AHS

Versioning in adaptive hypermedia

This paper presents an approach that uses the terms, operations and methods of versioning applied to the Adaptive Hypermedia (AH) field. We show a number of examples of such a use which helps to facilitate authoring, managing, storing, maintenance, logging and analysis of AHS behaviour, providing extensive flexibility and maintainability of the systems

Generic adaptation process

Adaptive Hypermedia Systems (AHS) have long been mainly represented by domain- or application-specific systems. Few reference models exist and they provide only a brief overview of how to describe and organize the ‘adaptation process’ in a generic way. In this paper we consider the process aspects of AHS from the very first classical ‘user modelling-adaptation’ loop to a generic detailed flowchart of the adaptation in AHS.We introduce a Generic Adaptation Process and by aligning it with a layered (data-oriented) AHS architecture we show that it can serve as the process part of a new reference model for AHS