| User interaction|
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User interaction is included as keyword or extra keyword in 0 datasets, 0 tools and 4 publications.
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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Visitpedia: Wiki article visit log visualization for event exploration||Sun Y.
|Proceedings - 13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013||English||2013||This paper proposes an interactive visualization tool, Visitpedia, to detect and analyze social events based on Wikipedia visit history. It helps users discover real-world events behind the data and study how these events evolve over time. Different from previous work based on on-line news or similar text corpora, we choose Wikipedia visit counts as our data source since the visit count data better reflect user concerns of social events. We tackle the event-based task from a time-series pattern perspective rather than semantic perspective. Various visualization and user interaction techniques are integrated in Visitpedia. Two case studies are conducted to demonstrate the effectiveness of Visitpedia.||0||0|
|Emotion dependent dialogues in the VirCA system||Fulop I.M.||2011 2nd International Conference on Cognitive Infocommunications, CogInfoCom 2011||English||2011||In the VirCA system, the Wikipedia cyber device was developed in order to realize dialogues with human users as a case of inter-cognitive sensor sharing communication.  These dialogues are based on the scenarios of wiki pages edited on the web. This cyber device was extended with the ability of emotion support: the Wikipedia answers the user with the emotion received from some emotion tracker component. This way not only speech but emotion is transferred as well in the course of cognitive infocommunication. To realize this attitude, on the one hand, a universal thesaurus component was developed, which can select the appropriate version of a default lingual item which matches the received emotion. On the other hand, a universal emotion tracker component was also developed to recognize the emotion of the user either from the voice or the used lingual items of the user. This paper intends to present how the different components are connected together in order to realize the desired behaviour. It is going to be described how the universal components are exactly operating and which technologies are applied to achieve the required operation. Examples for the usage of the system are going to be presented as well.||0||0|
|Adaptive ranking of search results by considering user's comprehension||Makoto Nakatani
|Proceedings of the 4th International Conference on Ubiquitous Information Management and Communication ICUIMC 10||English||2010||Given a search query, conventional Web search engines provide users with the same ranking although users' comprehension levels can be different. It is often difficult especially for non-expert users to find comprehensible Web pages from the list of search results. In this paper, we propose the method of adaptively ranking search results by considering user's comprehension level. The main issues are (a) estimating the comprehensibility of Web pages and (b) estimating the user's comprehension level. In our method, the com-prehensibility of each search result is computed by using the readability index and technical terms extracted from Wikipedia. User's comprehension level is estimated by the users' feedback about the difficulty of search results that they have viewed. We implement a prototype system and evaluate the usefulness of our approach by user experiments.||0||0|
|An architecture to support intelligent user interfaces for Wikis by means of Natural Language Processing||Johannes Hoffart