Extraction of social context and application to personal mulitmedia exploration
Personal media collections are often viewed and managed along the social dimension, the places we spend time at and the people we see, thus tools for extracting and using this information are required. We present novel algorithms for identifying socially signicant places termed social spheres unobtr...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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ACM Press
2006
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| Subjects: | |
| Online Access: | http://doi.acm.org/10.1145/1180639.1180857 http://hdl.handle.net/20.500.11937/14498 |
| Summary: | Personal media collections are often viewed and managed along the social dimension, the places we spend time at and the people we see, thus tools for extracting and using this information are required. We present novel algorithms for identifying socially signicant places termed social spheres unobtrusively from GPS traces of daily life, and label them as one of Home, Work, or Other, with quantitative evaluation of 9 months taken from 5 users. We extract locational co-presence of these users and formulate a novel measure of social tie strength based on frequency of interaction, and the nature of spheres it occurs within. Comparative user studies of a multimedia browser designed to demonstrate the utility of social metadata indicate the usefulness of a simple interface allowing navigation and ltering in these terms. We note the application of social context is potentially much broader than personal media management, including context-aware device behaviour, life logs, social networks, and location-aware information services. |
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