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ChronoPilot - Modulating Time Perception

  • J. Botev
  • , K. Drewing
  • , H. Hamann
  • , Y. Khaluf
  • , P. Simoens
  • , A. Vatakis

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

Abstract

Although time can be measured objectively, human time perception is remarkably subjective and influenced by cognitive states, individual motivations, and social factors. This malleability of perceived time can be evidenced, for instance, in stressful situations where one might experience a lack of time, while one might lose track of time in more relaxing circumstances. Based on fundamental knowledge from psychology and cognitive science, the ChronoPilot project aims at developing a prototype technology driven by artificial intelligence to extend or compress human subjective time adaptively and whenever required. Mediated-reality approaches, such as virtual and augmented reality, have enormous potential for presenting the users with visual, auditory, and haptic stimulation patterns that directly or indirectly influence their subjective time and which are difficult to reproduce in the real world. Going beyond individual settings, ChronoPilot will also investigate how to coordinate time plasticity in collaborative environments where one group member's actions may affect other members' perception. Different scenarios, where humans alone or humans and robots have to collaborate in realistic and virtual environments, will validate the planned research. In this paper, we present the fundamental concepts of our project ChronoPilot, which is a work in progress
Original languageEnglish
Title of host publication2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)
Subtitle of host publication[Proceedings]
PublisherIEEE
Pages215-218
Number of pages4
ISBN (Electronic)9781665432252
ISBN (Print)9781665432269
DOIs
Publication statusPublished - 2021
Externally publishedYes

Funding

ACKNOWLEDGMENT This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964464.

FundersFunder number
Horizon 2020 Framework Programme964464

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