Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13657
Title: Mixed-Initiative Context Filtering and Group Selection for Improving Ubiquitous Help Systems
Authors: MAHMUD, Nasim 
LUYTEN, Kris 
CONINX, Karin 
Issue Date: 2012
Publisher: Springer
Source: Ambient Intelligence - Software and Applications: 3rd International Symposium on Ambient Intelligence, p. 155-162
Series/Report: Advances in intelligent and soft computing
Series/Report no.: 153
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 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 alongide the question.
Document URI: http://hdl.handle.net/1942/13657
ISBN: 978-3-642-28782-4
DOI: 10.1007/978-3-642-28783-1_19
ISI #: 000310488400019
Category: C1
Type: Proceedings Paper
Validations: ecoom 2013
Appears in Collections:Research publications

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