Ubiquitous contextual information access with proactive retrieval and augmentation
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Faculty of Information and Natural Sciences |
D4 Julkaistu kehittämis- tai tutkimusraportti taikka -selvitys
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Date
2009
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Mcode
Degree programme
Language
en
Pages
24
Series
TKK reports in information and computer science, 27
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.Description
Keywords
augmented reality, gaze tracking, information retrieval, machine learning, pattern recognition