Abstract
When people need help they often turn to their social peers for reliable information, recommendation or guidance. It is often difficult to find someone in the vicinity for help or communicate with someone from a distant place who can provide reliable help. Conveying the actual context of the question during remote communication is a cumbersome task, especially when avoiding speech communication. Our approach selects and prioritizes the contextual data for a question, based on the question content.We have developed a prototype for mobile users - the Ubiquitous Help System (UHS) - that implements a mixed-initiative approach for capturing, selecting and prioritizing contextual information as well as for selecting a group of users to send the question. UHS processes the user questions for clues on what context to include and presents its suggestions to the user. Contextual data that can be retrieved using the available sensors on the mobile device is automatically included for sending to the receiving parties alongside the question.
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Mahmud, N., Luyten, K., Coninx, K. (2012). Mixed-Initiative Context Filtering and Group Selection for Improving Ubiquitous Help Systems. In: Novais, P., Hallenborg, K., Tapia, D., RodrÃguez, J. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent and Soft Computing, vol 153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28783-1_19
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DOI: https://doi.org/10.1007/978-3-642-28783-1_19
Publisher Name: Springer, Berlin, Heidelberg
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