COGNITIVE MODELING OF SPATIAL REFERENCE FOR HUMAN-ROBOT INTERACTION

Article Properties
  • Language
    English
  • Publication Date
    2001/12/01
  • Indian UGC (Journal)
  • Refrences
    8
  • Citations
    1
  • REINHARD MORATZ University of Bremen, Center for Computer Studies, Bibliothekstr. 1, 28359 Bremen, Germany
  • KERSTIN FISCHER University of Bremen, FB10: Linguistics and Literary Studies, Postfach 330440, 28334 Bremen, Germany
  • THORA TENBRINK University of Hamburg, Department for Informatics, Vogt-Kölln-Str. 30, 22527 Hamburg, Germany
Abstract
Cite
MORATZ, REINHARD, et al. “COGNITIVE MODELING OF SPATIAL REFERENCE FOR HUMAN-ROBOT INTERACTION”. International Journal on Artificial Intelligence Tools, vol. 10, no. 04, 2001, pp. 589-11, https://doi.org/10.1142/s0218213001000672.
MORATZ, R., FISCHER, K., & TENBRINK, T. (2001). COGNITIVE MODELING OF SPATIAL REFERENCE FOR HUMAN-ROBOT INTERACTION. International Journal on Artificial Intelligence Tools, 10(04), 589-611. https://doi.org/10.1142/s0218213001000672
MORATZ R, FISCHER K, TENBRINK T. COGNITIVE MODELING OF SPATIAL REFERENCE FOR HUMAN-ROBOT INTERACTION. International Journal on Artificial Intelligence Tools. 2001;10(04):589-611.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Mechanical engineering and machinery
Description

How do humans communicate spatial information to robots? This research addresses this question by exploring the types of spatial references people use when interacting with robots and how these strategies can be modeled. It Investigates how human users employ spatial reference in interactions with robots. The research shows that spatial references in human-robot interactions differ from human-human interactions. While goal object specification users were found to employ spatial references strategies implemented in a computational model. They exploited the presence of several similar objects by perceiving and referring to them linguistically as a group. If instructions were not successful, participants created less and less complex descriptions. By understanding how humans naturally communicate spatial information, researchers can design robots that are more intuitive and responsive to human commands. This will pave the way for more seamless and effective human-robot collaboration in a variety of real-world applications.

Published in the International Journal on Artificial Intelligence Tools, this study aligns perfectly with the journal's focus on the development and application of AI technologies. By examining cognitive modeling of spatial reference in human-robot interaction, this research contributes valuable insights to the field of AI, specifically in the design of more intuitive and user-friendly robotic systems.

Refrences
Citations
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article.