Document Open Access Logo

Human-Game AI Interaction (Dagstuhl Seminar 22251)

Authors Dan Ashlock, Setareh Maghsudi, Diego Perez Liebana, Pieter Spronck, Manuel Eberhardinger and all authors of the abstracts in this report



PDF
Thumbnail PDF

File

DagRep.12.6.28.pdf
  • Filesize: 1.19 MB
  • 55 pages

Document Identifiers

Author Details

Dan Ashlock
  • University of Guelph, CA
Setareh Maghsudi
  • Universität Tübingen, DE
Diego Perez Liebana
  • Queen Mary University of London, GB
Pieter Spronck
  • Tilburg University, NL
Manuel Eberhardinger
  • Hochschule der Medien - Stuttgart, DE
and all authors of the abstracts in this report

Cite AsGet BibTex

Dan Ashlock, Setareh Maghsudi, Diego Perez Liebana, Pieter Spronck, and Manuel Eberhardinger. Human-Game AI Interaction (Dagstuhl Seminar 22251). In Dagstuhl Reports, Volume 12, Issue 6, pp. 28-82, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/DagRep.12.6.28

Abstract

People interact with semi-intelligent machines during their daily lives. They desire systems to respond intelligently to requests. While improvements to the interaction between humans and AI have been made over the years, these systems are a long way from responding like a human partner. Virtual (game) worlds are an ideal environment in which to experiment with the interaction between humans and AI, due to their similarity with real world environments and the presence of agents that represent "real people" that make decisions and interact among them. In recent years, the number of ways in which players can interact with games have increased considerably: from the traditional mouse, keyboard, and controller, to responding to natural movements, facial expressions, voice, eye movements and brain signals, among others. This seminar brought together scientists, researchers, and industrial developers who specialize in intelligent interaction between humans and computer agents in virtual (game) environments. This report documents the program and its outcomes.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Artificial intelligence
  • Human-centered computing → Human computer interaction (HCI)
  • Applied computing → Computer games
Keywords
  • Computational intelligence
  • artificial intelligence
  • games
  • modeling
  • interaction

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail