A Robot-Administered ICU Confusion Assessment with Brain-Computer Interface Control

Ajay Joshi, Lynne Baillie, Carl Bettosi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Evaluation of patient delirium in hospital Intensive Care Units (ICU) is a crucial and challenging task, with conventional assessments like CAM-ICU relying largely on verbal and physical communication, making it difficult for patients with limited physical abilities. To address this, we propose a system that integrates Brain-Computer Interface (BCI) technology and a Socially Assistive Robot (SAR) through brain-controlled mental commands. In a pilot user study, we demonstrate how our system could successfully administer a version of the CAM-ICU to 13 medical professionals and students roleplaying various level of delirium severity. Our work reveals early usability and workload insights, and next steps to improve upon assessment classification accuracy and interaction design.

Original languageEnglish
Title of host publicationHRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
PublisherAssociation for Computing Machinery
Pages583-587
Number of pages5
ISBN (Electronic)9798400703232
DOIs
Publication statusPublished - 11 Mar 2024
Event19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024 - Boulder, United States
Duration: 11 Mar 202415 Mar 2024

Conference

Conference19th Annual ACM/IEEE International Conference on Human-Robot Interaction 2024
Abbreviated titleHRI 2024
Country/TerritoryUnited States
CityBoulder
Period11/03/2415/03/24

Keywords

  • brain-computer interface
  • confusion assessment
  • delirium
  • socially assistive robotics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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