|Preece, Alun David, Braines, Dave, Pizzocaro, Diego and Parizas, Christos 2013. Human-machine conversations to support mission-oriented information provision. Presented at: Mobicom 2013: The 19th Annual International Conference on Mobile Computing and Networking, Miami, FL., USA, 30 Sept - 4 Oct 2013. MiSeNet '13: Proceedings of the 2nd ACM Annual International Workshop on Mission-Oriented Wireless Sensor Networking. ACM, pp. 43-50. 10.1145/2509338.2509342|
Mission-oriented sensor networks present challenging problems in terms of human-machine collaboration. Human users need to task the network to help them achieve mission objectives, while humans (sometimes the same individuals) are also sources of mission-critical information. We propose a natural language-based conversational approach to supporting human-machine working in mission-oriented sensor networks. We present a model for human-machine and machine-machine interactions in a realistic mission context, and evaluate the model using an existing surveillance mission scenario. The model supports the flow of conversations from full natural language to a form of Controlled Natural Language (CNL) amenable to machine processing and automated reasoning, including high-level information fusion tasks. We introduce a mechanism for presenting the gist of verbose CNL expressions in a more convenient form for human users. We show how the conversational interactions supported by the model include requests for expansions and explanations of machine-processed information.
|Item Type:||Conference or Workshop Item (Paper)|
|Schools:||Computer Science & Informatics|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Last Modified:||12 Jan 2017 04:24|
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