Modeling personalised adaptive systems

Alistair Sutcliffe; Peter Sawyer

doi:10.1007/978-3-642-38709-8_12

Modeling personalised adaptive systems

Alistair Sutcliffe
, Peter Sawyer

College of Engineering and Physical Sciences

Research output: Chapter in Book/Published conference output › Chapter

16 Citations (SciVal)

Abstract

A new theoretical framework for the conceptual modeling of personalized and context-aware systems is described which supports specification of customization for individual users and analyzing the interaction between the domain context and functionality. An initial taxonomy of models is proposed based on the concept of personalized requirements. Two layers of human-centric models are proposed: an individual user characteristics layer for adaptation in assistive technology, learning and learning support systems and an individual values and personal goals layer to tailor applications to personal requirements. Practical application of the modeling framework is illustrated in a healthcare case study of a personalized, self-adaptive context-aware system.

Original language	English
Title of host publication	Advanced Information Systems Engineering
Publisher	Springer
Pages	178-192
Number of pages	15
ISBN (Print)	9783642387081
DOIs	https://doi.org/10.1007/978-3-642-38709-8_12
Publication status	Published - 2013

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	7908
ISSN (Print)	0302-9743

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

self-adaptive systems
personalization
conceptual modeling

Access to Document

10.1007/978-3-642-38709-8_12

Cite this

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AU - Sawyer, Peter

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KW - personalization

KW - conceptual modeling

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T3 - Lecture Notes in Computer Science

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BT - Advanced Information Systems Engineering

PB - Springer

ER -

Modeling personalised adaptive systems

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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