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 proceedingChapter

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 languageEnglish
Title of host publicationAmbient Intelligence, Lecture Notes in Computer Science
PublisherSpringer
Pages427-432
Volume7683
ISBN (Print)978-3-642-34897-6
DOIs
Publication statusPublished - 15 Nov 2012

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    Burns, WP., Chen, L., Nugent, CD., Donnelly, M., Skillen, K., & Solheim, I. (2012). A Conceptual Framework for Supporting Adaptive Personalized Help-on-Demand Services. In Ambient Intelligence, Lecture Notes in Computer Science (Vol. 7683, pp. 427-432). Springer. https://doi.org/10.1007/978-3-642-34898-3_38