2019
DOI: 10.3130/aije.84.1051
|View full text |Cite
|
Sign up to set email alerts
|

Research on Visual Information Acquisition of Signboard in Shopping Mall Using Analogy With Illuminance Calculation (Part 2): Focusing on Noticeability

Abstract: This study focused on the predictability of signboard noticeability by using analogy with illuminance calculation. Light source that modeled eyesight attribution was incorporated under 3D lighting simulation of the experimental condition. Based on previous study on visibility and legibility, area, luminance contrast, font factor and number of letters were used to derive the induced sight amount. Using logistic analysis, threshold value to notice was calculated, which equaled to condition of visual acuity of 0.… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 2 publications
0
1
0
Order By: Relevance
“…Researchers at UCL University earlier divided the three-dimensional space into a mean grid, and the connecting line between two points does not collide with the plane as visible [8]. Team of Kozaki explored the psychological visibility, legibility [9] and predictability [10] through a questionnaire survey, and makes it clear that the visibility is related to the appearance area of the display interface.…”
Section: Means Of Building Abstract Modelmentioning
confidence: 99%
“…Researchers at UCL University earlier divided the three-dimensional space into a mean grid, and the connecting line between two points does not collide with the plane as visible [8]. Team of Kozaki explored the psychological visibility, legibility [9] and predictability [10] through a questionnaire survey, and makes it clear that the visibility is related to the appearance area of the display interface.…”
Section: Means Of Building Abstract Modelmentioning
confidence: 99%