2020
DOI: 10.1080/15502724.2020.1737813
|View full text |Cite
|
Sign up to set email alerts
|

A Comparison of Partition Scaling and Magnitude Estimation for Brightness Scaling

Abstract: Several psychophysical procedures exist to capture the relationship between the magnitude of an optical stimulus (e.g. luminance) and the corresponding perceived brightness. A commonly used psychophysical method is magnitude estimation (ME). However, some drawbacks of this method have been identified in literature: the method could be prone to some biases such as order effects, range effects and centring bias. On the other hand, partition scaling (PS) is one of the oldest, yet rarely used, psychophysical metho… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 28 publications
0
3
0
Order By: Relevance
“…7 However, not only category rating procedures can be susceptible to such biases; for example, centring bias and range effects were found in a brightness experiment using a magnitude estimation methodology. 60…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…7 However, not only category rating procedures can be susceptible to such biases; for example, centring bias and range effects were found in a brightness experiment using a magnitude estimation methodology. 60…”
Section: Resultsmentioning
confidence: 99%
“…7 However, not only category rating procedures can be susceptible to such biases; for example, centring bias and range effects were found in a brightness experiment using a magnitude estimation methodology. 60 In the presented study, a paired comparison procedure was used with a sequential presentation mode, which was reported to produce similar Lighting Res. Technol.…”
Section: = =mentioning
confidence: 99%
See 1 more Smart Citation