Name
Abstract | ||
|---|---|---|
In domains such as emergency response, environmental monitoring, policing and security, sensor and information networks are deployed to assist human users across multiple agencies to conduct missions at or near the 'front line'. These domains 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 humanmachine 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 |
|---|---|---|
2014 | 10.1145/2581555.2581568 | Mobile Computing and Communications Review |
Keywords | Field | DocType |
realistic mission context,information network,human-machine conversation,convenient form,mission-critical information,mission objective,machine-processed information,human user,multi-agency mission,conversational interaction,existing surveillance mission scenario,high-level information fusion task | Front line,Automated reasoning,Human–machine system,Controlled natural language,Expression (mathematics),Computer science,Human–computer interaction,Natural language,Artificial intelligence,Information fusion,Wireless sensor network,Distributed computing | Journal |
Volume | Issue | Citations |
18 | 1 | 3 |
PageRank | References | Authors |
0.47 | 4 | 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 |