Modelling context awareness for a situated semantic agent

Piek Vossen*, Lenka Bajčetić, Selene Baez, Suzana Bašić, Bram Kraaijeveld

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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This paper presents a model of contextual awareness implemented for a social communicative robot Leolani. Our model starts from the assumption that robots and humans need to establish a common ground about the world they share. This is not trivial as robots make many errors and start with little knowledge. As such, the context in which communication takes place can both help and complicate the interaction: if the context is interpreted correctly it helps in disambiguating the signals, but if it is interpreted wrongly it may distort interpretation. We defined the surrounding world as a spatial context, the communication as a discourse context and the interaction as a social context, which are all three interconnected and have an impact on each other. We model the result of the interpretations as symbolic knowledge (RDF) in a triple store to reason over the result, detect conflicts, uncertainty and gaps. We explain how our model tries to combine the contexts and the signal interpretation and we mention future directions of research to improve this complex process.

Original languageEnglish
Title of host publicationModeling and Using Context
Subtitle of host publication11th International and Interdisciplinary Conference, CONTEXT 2019, Trento, Italy, November 20–22, 2019, Proceedings
EditorsGábor Bella, Paolo Bouquet
Number of pages15
ISBN (Electronic)9783030349745
ISBN (Print)9783030349738
Publication statusPublished - 2019
Event11th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2019 - Trento, Italy
Duration: 20 Nov 201922 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11939 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2019


  • Discourse context
  • Robotics
  • Situated context
  • Social context

VU Research Profile

  • Connected World


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