A Conceptual Framework for Supporting Adaptive Personalized Help-on-Demand Services

WP Burns; Liming Chen; CD Nugent; Mark Donnelly; Kerry Skillen; Ivar Solheim

doi:10.1007/978-3-642-34898-3_38

A Conceptual Framework for Supporting Adaptive Personalized Help-on-Demand Services

WP Burns, Liming Chen, CD Nugent, Mark Donnelly, Kerry Skillen, Ivar Solheim

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

6 Citations (Scopus)

Abstract

Mobile applications that encompass personalization and context-aware components are increasingly becoming more prevalent. The ability to offer personalized content and User Interfaces to the users of these applications, however, has still not been fully addressed. In this paper we describe a conceptual framework that establishes a User Profile and aims to monitor the usage patterns of users of a mobile application and, based on these patterns, provide both personalized, context aware content and user interfaces. The framework consists of four components that together contribute towards an overall Help on Demand service that is targeted at older age Smartphone users. A usage scenario is presented to describe the typical usage of the help on demand service.

Original language	English
Title of host publication	Ambient Intelligence, Lecture Notes in Computer Science
Publisher	Springer
Pages	427-432
Volume	7683
ISBN (Print)	978-3-642-34897-6
DOIs	https://doi.org/10.1007/978-3-642-34898-3_38
Publication status	Published (in print/issue) - 15 Nov 2012

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10.1007/978-3-642-34898-3_38

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AU - Skillen, Kerry

AU - Solheim, Ivar

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BT - Ambient Intelligence, Lecture Notes in Computer Science

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A Conceptual Framework for Supporting Adaptive Personalized Help-on-Demand Services

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