Experiments with a First Prototype of a Spatial Model of Cultural Meaning through Natural-Language Human-Robot-Interaction

Christoph Hubatschke, Oliver Schürer, Christoph Müller, Benjamin Stangl

Publications: Contribution to journalArticlePeer Reviewed

Abstract

When using assistive systems, the consideration of individual and cultural meaning is crucial for the utility and acceptance of technology. Orientation, communication and interaction are rooted in perception and therefore always happen in material space. We understand that a major problem lies in the difference between human and technical perception of space. Cultural policies are based on meanings including their spatial situation and their rich relationships. Therefore, we have developed an approach where the different perception systems share a hybrid spatial model that is generated by artificial intelligence-a joint effort by humans and assistive systems. The aim of our project is to create a spatial model of cultural meaning based on interaction between humans and robots. We define the role of humanoid robots as becoming our companions. This calls for technical systems to include still inconceivable human and cultural agendas for the perception of space. In two experiments, we tested a first prototype of the communication module that allows a humanoid to learn cultural meanings through a machine learning system. Interaction is achieved by non-verbal and natural-language communication between humanoids and test persons. This helps us to better understand how a spatial model of cultural meaning can be developed.

Original languageEnglish
Article number6
Number of pages15
JournalTechnologies
Volume6
Issue number1
DOIs
Publication statusPublished - Mar 2018

Austrian Fields of Science 2012

  • 211902 Assistive technologies
  • 603122 Philosophy of technology
  • 201203 Architectural theory

Keywords

  • humanoid robots
  • Machine Learning
  • Language games
  • interaction design
  • spatial model of cultural meaning
  • Robotics
  • Donna Haraway
  • language game
  • machine learning

Cite this