An Augmented Reality-Based Warning System for Enhanced Safety in Industrial Settings
Akhmetov T. Varol H.A.
1 July 2023IEEE Computer Society
IEEE Transactions on Industrial Informatics
2023#19Issue 77966 - 7977 pp.
Operator inattention can lead to accidents in industry, resulting in injury, death, and financial loss. To prevent this, we present a warning system that leverages artificial intelligence and augmented reality. In order to compare our warning system with the business-as-usual (safety mat) and no warning conditions, we conducted experiments with nine participants using quantitative measurements. Additionally, augmented reality warning types (auditory, visual, and audiovisual) were compared in an experiment with 30 participants. Several hypotheses were tested using subjective questionnaires: participants accept the warning system as beneficial overall (H1), participants prefer auditory warnings to visual warnings (H2), and the audiovisual system would be the most preferred warning system (H3). Participants acceptance of the system was high, and they preferred audiovisual warnings to the other types of warnings. Participants ranked the visual warning as preferable to the auditory warning. The results can be utilized to design warning systems to reduce industrial accidents.
Artificial intelligence (AI) , augmented reality , eye tracking , industrial safety , warning system
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Nazarbayev University, Department of Robotics, School of Engineering and Digital Sciences, Astana, 010000, Kazakhstan
Nazarbayev University
10 лет помогаем публиковать статьи Международный издатель
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