Conversational natural language interaction for place-related knowledge acquisition

Srinivasan Janarthanam, Oliver Lemon, Xingkun Liu, Phil Bartie, William Mackaness, Tiphaine Dalmas, Jana Goetze

Research output: Contribution to conferencePaperpeer-review

Abstract

We focus on the problems of using Natural Language interaction to support pedestrians in their place-related knowledge acquisition. Our case study for this discussion is a smartphone-based Natural Language interface that allows users to acquire spatial and cultural knowledge of a city. The framework consists of a spoken dialogue-based information system and a smartphone client. The system is novel in combining geographic information system (GIS) modules such as a visibility engine with a question-answering (QA) system. Users can use the smart-phone client to engage in a variety of interleaved conversations such as navigating from A to B, using the QA functionality to learn more about points of interest (PoI) nearby, and searching for amenities and tourist attractions. This system explores a variety of research questions involving Natural Language interaction for acquisition of knowledge about space and place.

Original languageEnglish
Pages33-38
Number of pages6
Publication statusPublished - 31 Aug 2012
EventPlace-related Knowledge Acquisition Research Workshop (PKAR), Spatial Cognition Conference - Germany, United Kingdom
Duration: 15 Sep 2012 → …

Conference

ConferencePlace-related Knowledge Acquisition Research Workshop (PKAR), Spatial Cognition Conference
Country/TerritoryUnited Kingdom
CityGermany
Period15/09/12 → …

Fingerprint

Dive into the research topics of 'Conversational natural language interaction for place-related knowledge acquisition'. Together they form a unique fingerprint.

Cite this