Ontology-based user modeling in an augmented audio reality system for museums

Resource type
Date created
2005
Authors/Contributors
Author: Wakkary, Ron
Abstract
Ubiquitous computing is a challenging area that allows us to further our understanding and techniques of context-aware and adaptive systems. Among the challenges is the general problem of capturing the larger context in interaction from the perspective of user modeling and human–computer interaction (HCI). The imperative to address this issue is great considering the emergence of ubiquitous and mobile computing environments. This paper provides an account of our addressing the specific problem of supporting functionality as well as the experience design issues related to museum visits through user modeling in combination with an audio augmented reality and tangible user interface system. This paper details our deployment and evaluation of ec(h)o – an augmented audio reality system for museums. We explore the possibility of supporting a context-aware adaptive system by linking environment, interaction object and users at an abstract semantic level instead of at the content level. From the user modeling perspective ec(h)o is a knowledge based recommender system. In this paper we present our findings from user testing and how our approach works well with an audio and tangible user interface within a ubiquitous computing system. We conclude by showing where further research is needed.
Document
Published as
J1. Hatala, Marek, & Wakkary, Ron. (2005). Ontology-based user modeling in an augmented audio reality system for museums. User Modeling and User-Adapted Interaction, 15(3-4), 339-380. doi:10.1007/s11257-005-2304-5
Publication title
User Modeling and User-Adapted Interaction
Document title
Ontology-based user modeling in an augmented audio reality system for museums
Date
2005
Volume
15
Issue
3-4
First page
339
Last page
380
Publisher DOI
10.1007/s11257-005-2304-5
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Funder
Funder: CANARIE
Language
Member of collection
Attachment Size
2005_UMUAI_Ontology_Hatala_vy-edited.pdf 585.62 KB