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Towards a Framework for Studying Visual Attention Indicators in a Street Design Environment Using an Eye Tracking Device.

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Last updated: 04 Jan 2025

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Tags

Architectural Engineering

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.

DOI

10.21608/bfemu.2020.118708

Keywords

Attention, visual attention, eye tracking system, different street types

Authors

First Name

Mehad

Last Name

Emara

MiddleName

-

Affiliation

Architectural Engineering Department., Modern Academy., Cairo.

Email

engmehademara@gmail.com

City

Cairo

Orcid

-

Volume

45

Article Issue

4

Related Issue

17795

Issue Date

2020-12-01

Receive Date

2020-07-28

Publish Date

2020-10-14

Page Start

10

Page End

16

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 45_Issue 4_Pages 10-16.pdf

PDF . 774.6kB

Link

https://bfemu.journals.ekb.eg/article_118708.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=118708

Order

2

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

Towards a Framework for Studying Visual Attention Indicators in a Street Design Environment Using an Eye Tracking Device.

Details

Type

Article

Created At

22 Jan 2023