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Proceedings Paper

Conversational sensing
Author(s): Alun Preece; Chris Gwilliams; Christos Parizas; Diego Pizzocaro; Jonathan Z. Bakdash; Dave Braines
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Paper Abstract

Recent developments in sensing technologies, mobile devices and context-aware user interfaces have made it pos- sible to represent information fusion and situational awareness for Intelligence, Surveillance and Reconnaissance (ISR) activities as a conversational process among actors at or near the tactical edges of a network. Motivated by use cases in the domain of Company Intelligence Support Team (CoIST) tasks, this paper presents an approach to information collection, fusion and sense-making based on the use of natural language (NL) and controlled nat- ural language (CNL) to support richer forms of human-machine interaction. The approach uses a conversational protocol to facilitate a ow of collaborative messages from NL to CNL and back again in support of interactions such as: turning eyewitness reports from human observers into actionable information (from both soldier and civilian sources); fusing information from humans and physical sensors (with associated quality metadata); and assisting human analysts to make the best use of available sensing assets in an area of interest (governed by man- agement and security policies). CNL is used as a common formal knowledge representation for both machine and human agents to support reasoning, semantic information fusion and generation of rationale for inferences, in ways that remain transparent to human users. Examples are provided of various alternative styles for user feedback, including NL, CNL and graphical feedback. A pilot experiment with human subjects shows that a prototype conversational agent is able to gather usable CNL information from untrained human subjects.

Paper Details

Date Published: 22 May 2014
PDF: 14 pages
Proc. SPIE 9122, Next-Generation Analyst II, 91220I (22 May 2014); doi: 10.1117/12.2053283
Show Author Affiliations
Alun Preece, Cardiff Univ. (United Kingdom)
Chris Gwilliams, Cardiff Univ. (United Kingdom)
Christos Parizas, Cardiff Univ. (United Kingdom)
Diego Pizzocaro, Cardiff Univ. (United Kingdom)
Jonathan Z. Bakdash, U.S. Army Research Lab. (United States)
Dave Braines, IBM United Kingdom Ltd. (United Kingdom)


Published in SPIE Proceedings Vol. 9122:
Next-Generation Analyst II
Barbara D. Broome; David L. Hall; James Llinas, Editor(s)

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