Emerging frameworks for tangible user interfaces
IBM Systems Journal
Making database systems usable
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Assisted querying using instant-response interfaces
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Query Recommendations for Interactive Database Exploration
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Automating the Design and Construction of Query Forms
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
SnipSuggest: context-aware autocompletion for SQL
Proceedings of the VLDB Endowment
A spreadsheet-based user interface for managing plural relationships in structured data
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Monte carlo methods for managing interactive state, action and feedback under uncertainty
Proceedings of the 24th annual ACM symposium on User interface software and technology
DataPlay: interactive tweaking and example-driven correction of graphical database queries
Proceedings of the 25th annual ACM symposium on User interface software and technology
A user-specific machine learning approach for improving touch accuracy on mobile devices
Proceedings of the 25th annual ACM symposium on User interface software and technology
GestureQuery: a multitouch database query interface
Proceedings of the VLDB Endowment
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Direct, ad-hoc interaction with databases has typically been performed over console-oriented conversational interfaces using query languages such as SQL. With the rise in popularity of gestural user interfaces and computing devices that use gestures as their exclusive mode of interaction, database query interfaces require a fundamental rethinking to work without keyboards. Unlike domain-specific applications, the scope of possible actions is significantly larger if not infinite. Thus, the recognition of gestures and their consequent queries is a challenge. We present a novel gesture recognition system that uses both the interaction and the state of the database to classify gestural input into relational database queries. Preliminary results show that using this approach allows for fast, efficient and interactive gesture-based querying over relational databases.