Ubiquitous Contextual Information Access with Proactive Retrieval and Augmentation

Reference:

Antti Ajanki, Mark Billinghurst, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, and Timo Tossavainen. Ubiquitous contextual information access with proactive retrieval and augmentation. Technical Report TKK-ICS-R27, Helsinki University of Technology, Department of Information and Computer Science, Espoo, Finland, December 2009.

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.

Keywords:

Augmented reality, gaze tracking, information retrieval, machine learning, pattern recognition

Suggested BibTeX entry:

@techreport{TKK-ICS-R27,
    address = {Espoo, Finland},
    author = {Antti Ajanki and Mark Billinghurst and Melih Kandemir and Samuel Kaski and Markus Koskela and Mikko Kurimo and Jorma Laaksonen and Kai Puolam{\"a}ki and Timo Tossavainen},
    institution = {Helsinki University of Technology, Department of Information and Computer Science},
    month = {December},
    number = {TKK-ICS-R27},
    pages = {24},
    title = {Ubiquitous Contextual Information Access with Proactive Retrieval and Augmentation},
    type = {Technical Report},
    year = {2009},
}