Intelligent biohazard training based on real-time task recognition

Helmut Prendinger, Nahum Alvarez, Antonio Sanchez-Ruiz, Marc Cavazza, João Catarino, João Oliveira, Rui Prada, Shuji Fujimoto, Mika Shigematsu

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Virtual environments offer an ideal setting to develop intelligent training applications. Yet, their ability to support complex procedures depends on the appropriate integration of knowledge-based techniques and natural interaction. In this article, we describe the implementation of an intelligent rehearsal system for biohazard laboratory procedures, based on the real-time instantiation of task models from the trainee's actions A virtual biohazard laboratory has been recreated using the Unity3D engine, in which users interact with laboratory objects using keyboard/mouse input or hand gestures through a Kinect device. Realistic behavior for objects is supported by the implementation of a relevant subset of common sense and physics knowledge. User interaction with objects leads to the recognition of specific actions, which are used to progressively instantiate a task-based representation of biohazard procedures. The dynamics of this instantiation process supports trainee evaluation as well as real-time assistance. This system is designed primarily as a rehearsa system providing real-time advice and supporting user performance evaluation. We provide detailed examples illustrating error detection and recovery, and results from on-site testing with students from the Faculty of Medical Sciences at Kyushu University. In the study, we investigate the usability aspect by comparing interaction with mouse and Kinect devices and the effect of real-time task recognition on recovery time after user mistakes.

Original languageEnglish
Article number21
JournalACM Transactions on Interactive Intelligent Systems
Volume6
Issue number3
DOIs
Publication statusPublished - Sep 2016

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Artificial Intelligence

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