Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context

Jayesh Jayashankar, Anna L. Packy, Arya Teymourlouei, Alexandra A. Shaver, Garrett E. Katz, James A. Reggia, James Purtilo, Rodolphe J. Gentili

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

With the development of advanced AI and robotic systems, there is a growing interest in examining human-robot teaming. While the vast majority of human-robot studies has focused on technological developments, only a limited body of work has considered employing neurophysiological data and real-world activities to examine human cognitive-motor processes in such a teaming context. Although human-robot teaming can be examined using physical systems, virtual environments also offer numerous advantages such as versatility, scalability, and cost-effectiveness. Therefore, here we propose and assess a novel virtual environment (VTEAM) through which human cognitive-motor processes can be examined when individuals perform alone or with a robotic teammate, sequential tasks that have similar features to real-world activities. This new experimental platform allows synchronous behavioral and neurophysiological (EEG) data collection to provide a more comprehensive examination of human cognitive-motor behavior. VTEAM was evaluated by assessing its usability, as well as the resulting team performance and human perception of the workload and of the robotic teammate. The findings revealed appropriate levels of usability and workload when individuals operated VTEAM to complete two tasks alone or with the robotic teammate. When engaged, the robotic teammate - which individuals perceived as likeable, intelligent and safe - was able to improve task performance, suggesting that this platform can robustly assess human-robot teaming. Thus, this novel experimental platform appears to be appropriate for investigating human cognitive-motor processes when individuals perform and learn action sequences alone or collaboratively with a robotic teammate.

Original languageEnglish (US)
Title of host publicationAugmented Cognition - 18th International Conference, AC 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
EditorsDylan D. Schmorrow, Cali M. Fidopiastis
PublisherSpringer Science and Business Media Deutschland GmbH
Pages147-166
Number of pages20
ISBN (Print)9783031615689
DOIs
StatePublished - 2024
Externally publishedYes
Event18th International Conference on Augmented Cognition, AC 2024, held as part of the 26th HCI International Conference, HCII 2024 - Washington, United States
Duration: Jun 29 2024Jul 4 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14694 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Augmented Cognition, AC 2024, held as part of the 26th HCI International Conference, HCII 2024
Country/TerritoryUnited States
CityWashington
Period6/29/247/4/24

Keywords

  • AI-based humanoid robots
  • Action sequences
  • Cognitive-motor performance
  • Human-robot team
  • Mental workload
  • Virtual environment

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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