Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2509338.2509342 | MiSeNet@MobiCom |
Keywords | Field | DocType |
realistic mission context,human-machine collaboration,human-machine conversation,convenient form,mission-critical information,mission objective,machine-processed information,human user,mission-oriented sensor network,mission-oriented information provision,existing surveillance mission scenario,high-level information fusion task | Automated reasoning,Human–machine system,Controlled natural language,Expression (mathematics),Computer science,Human–computer interaction,Natural language,Information provision,Artificial intelligence,Natural language processing,Wireless sensor network,Information fusion | Conference |
Volume | Issue | ISSN |
18 | 1 | 1559-1662 |
Citations | PageRank | References |
1 | 0.37 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alun D. Preece | 1 | 974 | 112.50 |
| Dave Braines | 2 | 61 | 11.18 |
| Diego Pizzocaro | 3 | 85 | 9.76 |
| Christos Parizas | 4 | 5 | 2.22 |