Visual Behavior Modeling of Hazard Identification Assessment From Eye-Tracking Data

  • Abner Cardoso da Silva Tecgraf PUCRio
  • Alberto Barbosa Raposo Tecgraf PUCRio
  • Cesar Augusto Sierra Franco Tecgraf PUCRio


The easier access to virtual reality head-mounted displays have assisted the use of this technology on research. In parallel, the integration of those devices with eye-trackers enabled new perspectives of visual attention analysis in virtual environments. Different research and application fields found in such technologies a viable way to train and assess individuals by reproducing, with low cost, situations that are not so easily recreated in real life. In this context, our proposal aims to develop a model to measure characteristics of safety professional’s gaze behavior during the hazard detection process.


S. J. Anbro, A. J. Szarko, R. A. Houmanfar, A. M. Maraccini, L. H. Crosswell, F. C. Harris, M. Rebaleati, and L. Starmer, “Using virtual simulations to assess situational awareness and communication in medical and nursing education: A technical feasibility study,” Journal of Organizational Behavior Management, pp. 1–11, 2020.

E. Isleyen and H. Duzgun, “Use of virtual reality in underground roof fall hazard assessment and risk mitigation,” International Journal of Mining Science and Technology, vol. 29, no. 4, pp. 603–607, 2019.

G. Pai Mangalore, Y. Ebadi, S. Samuel, M. A. Knodler, and D. L. Fisher, “The promise of virtual reality headsets: Can they be used to measure accurately drivers’ hazard anticipation performance?” Transportation research record, vol. 2673, no. 10, pp. 455–464, 2019.

S. Hasanzadeh, B. Esmaeili, and M. D. Dodd, “Measuring the impacts of safety knowledge on construction workers’ attentional allocation and hazard detection using remote eye-tracking technology,” Journal of management in engineering, vol. 33, no. 5, p. 04017024, 2017.

S. Marwecki, A. D. Wilson, E. Ofek, M. Gonzalez Franco, and C. Holz, “Mise-unseen: Using eye tracking to hide virtual reality scene changes in plain sight,” in Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019, pp. 777–789.
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DA SILVA, Abner Cardoso; RAPOSO, Alberto Barbosa; FRANCO, Cesar Augusto Sierra. Visual Behavior Modeling of Hazard Identification Assessment From Eye-Tracking Data. In: WORKSHOP DE TESES E DISSERTAÇÕES - SIMPÓSIO DE REALIDADE VIRTUAL E AUMENTADA (SVR), 22. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 11-12. DOI: