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

Peer reviewed: 
Yes, item is peer reviewed.
Scholarly level: 
Faculty/Staff
Final version 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

Date created: 
2005
Keywords: 
Audio augmented reality
Context-aware
Museum guide
Ontologies
Semantic technologies
Tangible user interface
Testing
Ubiquitous computing
User evaluations user modeling
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.

Language: 
English
Document type: 
Article
Rights: 
Copyright remains with the authors.
File(s): 
Sponsor(s): 
Canarie Inc.
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