Towards Creation of Implicit HCI Model for Prediction and Prevention of Operators’ Error
This paper describes development of a new generation of the interactive industrial workplace, through introduction of a novel implicit Human Computer Interaction (HCI) model. Proposed framework aims at being a foundation of a computer-based system that enables an increase of workers safety and well-being in industrial environments. Further aim is to enable an increase in production levels, together with improvement of ergonomics of the workplace. Specifically targeted environments are industrial workplaces that include repetitive tasks, which are in most of the cases monotonic in nature. Implicit HCI model could enable development of a specific technical solution that is meant to be an integral and inseparable part of a future workplace and should serve to predict human errors and communicate a warning to a worker. As such, system is meant to increase situational awareness of the workers and prevent errors in operating that would otherwise lead to work-related injuries (including causalities).
KeywordsImplicit HCI Multimodal HCI Neuroergonomics EEG Kinect
This research is financed under EU - FP7 Marie Curie Actions Initial Training Networks - FP7-PEOPLE-2011-ITN. We would further like to acknowledge company “Gomma Line” (Serbia), for their assistance and advisory during the experimental set-up phase.
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