PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Contextual Information Access with Augmented Reality
Antti Ajanki, Mark Billinghurst, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki and Timo Tossavainen
In: The fourth International Workshop on Ubiquitous Virtual Reality (IWUVR), 17 May 2010, Helsinki, Finland.

Abstract

In this paper we report on a prototype platform for accessing abstract information in real-world pervasive computing environments through Augmented Reality displays. Objects, people, and the environment serve as contextual channels to more information. Adaptive models will infer from eye movement patterns and other implicit feedback signals the interests of users with respect to the environment, and results of proactive context-sensitive information retrieval are augmented onto the view of data glasses or other see-through displays. The augmented information becomes part of the context, and if it is relevant the system detects it and zooms progressively further. In this paper we describe the first use of the platform to develop a pilot application, a virtual laboratory guide, and early evaluation results.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Speech
Information Retrieval & Textual Information Access
ID Code:7261
Deposited By:Antti Ajanki
Deposited On:15 March 2011