Repository logo
Research Outputs
Projects
People
Statistics
  1. Home
  2. HSG CRIS
  3. HSG Publications
  4. From visual perception to multimodal communication: Incremental route descriptions
Details

From visual perception to multimodal communication: Incremental route descriptions

Journal
Artificial Intelligence Review Journal
ISSN
0269-2821
Type
journal article
Date Issued
1994
Author(s)
Maass, Wolfgang  
Abstract
In the last few years in cognitive science there has been a growing interest in the connection between visual perception and natual language. The question of interest is: How ca we discuss what we see? With this question in mind in this article we will look at the area of incremental route descriptions. Here, a speaker step-by-step presents the relevant rout information in a 3D-environment. The speaker must adjust his/her descriptions to the currently visible objects. Two major questions arise in this context: 1. How is visually obtained informaiton used in natural language generation? and 2. How are the modalities coordniated? We will present a computational framework for the interaction of visual perception and natural language descriptions which integrates several processes and representations. Especially discussed is the interaction between the spatial representation and the presentation representation used for natural language descriptions. We have implemented a prototypical version of the proposed model, called MOSES.
Funding(s)
VITRA: Visual Translator  
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Springer
Publisher place
Dordrecht
Volume
8
Number
5/6
Start page
68
End page
82
Pages
15
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/63945
Subject(s)

information managemen...

Division(s)

ITEM - Institute of T...

Eprints ID
12840
File(s)
Thumbnail Image
Name

b108.pdf

Size

303.82 KB

Format

Adobe PDF

Checksum (MD5)

7dfe0e3a2a8626a4a7532754bf954c2a

Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify