Human computer interaction using machine learning

Abstract

Interest in the complex subject of human-computer interaction (HCI) has increased recently. Human-computer interaction has been more important in the area of safety risk management since the start of the Fourth Industrial Revolution. The development of human-computer interaction for spotting possible dangers in buildings has not received much attention. We created a study framework for the application of human-computer interaction (CHR-HCI) in the detection of construction-related risks after performing an extensive literature review. The nexus of ergonomics, virtual reality, and computer vision will be the subject of future research. In this study, we established a theoretical framework for the conclusions and linkages from earlier research and provided specific suggestions for the future development of HCI in threat identification. Additionally, we looked at two case studies that dealt with context-aware navigation and wearable vibration-based devices in the context of CHR-HCI.