Contextual information access with augmented reality
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(Published version)
Date
2010
Authors
Ajanki, A.
Billinghurst, M.
Jarvenpaa, T.
Kandemir, M.
Kaski, S.
Koskela, M.
Kurimo, M.
Laaksonen, J.
Puolamaki, K.
Ruokolainen, T.
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Conference paper
Citation
Proceedings of the 2010 IEEE 20th International Workshop on Machine Learning for Signal Processing (MLSP), 2010, iss.5589228, pp.95-100
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20th International Workshop on Machine Learning for Signal Processing (MSLP 2010) (29 Aug 2010 - 1 Sep 2010 : Kittila, Finland)
Abstract
We have developed a prototype platform for contextual information access in mobile settings. Objects, people, and the environment are considered as contextual channels or cues to more information. The system infers, based on gaze, speech and other implicit feedback signals, which of the contextual cues are relevant, retrieves more information relevant to the cues, and presents the information with Augmented Reality (AR) techniques on a handheld or head-mounted display. The augmented information becomes potential contextual cues as well, and its relevance is assessed to provide more information. In essence, the platform turns the real world into an information browser which focuses proactively on the information inferred to be the most relevant for the user. We present the first pilot application, a Virtual Laboratory Guide, and its early evaluation results.
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Copyright 2010 IEEE
Access Condition Notes: Accepted manuscript available open access