Towards a Framework for Studying Visual Attention Indicators in a Street Design Environment Using an Eye Tracking Device. | ||||
| MEJ- Mansoura Engineering Journal | ||||
| Article 2, Volume 45, Issue 4, December 2020, Page 10-16 PDF (756.41 K) | ||||
| Document Type: Research Studies | ||||
| DOI: 10.21608/bfemu.2020.118708 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Mehad Emara 
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| Architectural Engineering Department., Modern Academy., Cairo. | ||||
| Abstract | ||||
| Streets are the most flexible elements in the city where its boundaries are drawn by the boundaries of buildings and properties, and the primary means of planning new streets and the surrounding environment surrounding them is to develop a two-dimensional plan, but this plan is criticized at times because of its inability to take the 3D world in Consideration and consequently their inability to predict the actual outcome of the plan, And to address this criticism, this paper explores empirically whether visual distributions can bepredicted through a two-dimensional plan. Experiments and research were conducted in Sweden on a set of images through the eye tracking system, and human visual attention was measured to street types: ( Blocked, open, curved, angle), The results show that different types of visual attention are evoked by each of the four different street types. Consequently, the research aims to study the two-dimensional plans that are studied through the eye tracking system, and to study its ability to predict future three-dimensional results of a particular plan in terms of visual attention, and then move to the research methodology and through it will come out with a set of indicators through studying previous experiences To use the eye tracking system, these indicators are valuable for planners, architects and decision makers when planning new urban environments through the importance of understanding the human perception of streets in a broader context. | ||||
| Keywords | ||||
| Attention; visual attention; eye tracking system; different street types | ||||
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