Dataset Open Access

Data supplementing the article "Einhäuser, W., & Nuthmann, A. (2016). Salient in space, salient in time: Fixation probability predicts fixation duration during natural scene viewing. Journal of Vision, 16(11):13, 1-17, doi:10.1167/16.11.13."

Einhäuser, Wolfgang; Nuthmann, Antje

These data supplement the article Einhäuser, W., & Nuthmann, A. (2016). Salient in space, salient in time: Fixation probability predicts fixation duration during natural scene viewing. Journal of Vision, 16(11):13, 1-17, doi:10.1167/16.11.13.

The data can be used freely for academic purposes, provided the aforementioned reference is appropriately cited.

The following files are available for experiment 2 of the article:

allData.mat

Includes the datamatrix allData with the following columns:

1) Line used for analysis in the article (0 - no, 1-yes).
Possible reasons for exclusion:
a. fixation duration smaller than 50ms or larger 1000ms
b. fixation adjacent to a blink (preceding or following)
c. fixation outside the image

2) ID of observer (1-24)

3) ID of condition (1:grayscale, 2: reduced luminance, 3: reduced contrast, 4: equalized luminance, 5: equalized contrast, 6: phasenoise)

4) ID of image (48 unique numbers between 1 and 135)

5) horizontal eye position

6) vertical eye position

7) fixation duration in ms

8) value of empirical map generated from search condition of experiment 1 at fixated location

9) value of empirical map generated from preference condition of experiment 1 at fixated location

10) value of empirical map generated from memorization condition of experiment 1 at fixated location

11) value of empirical map generated from joining memorization and preference condition of experiment 1 at fixated location

12) value of empirical map generated from condition 1 at fixated location

13) value of empirical map generated from condition 2 at fixated location

14) value of empirical map generated from condition 3 at fixated location

15) value of empirical map generated from condition 4 at fixated location

16) value of empirical map generated from condition 5 at fixated location

17) value of empirical map generated from condition 6 at fixated location

18) value of empirical map generated from condition 1 at fixated location leaving out the current observer

19) value of empirical map generated from condition 2 at fixated location leaving out the current observer

20) value of empirical map generated from condition 3 at fixated location leaving out the current observer

21) value of empirical map generated from condition 4 at fixated location leaving out the current observer

22) value of empirical map generated from condition 5 at fixated location leaving out the current observer

23) value of empirical map generated from condition 6 at fixated location leaving out the current observer

24) luminance at fixation

25) luminance contrast at fixation

26) edge density at fixation

27) eccentricity of fixation

 

usedData.Rdata

- for all lines that are used for analysis (allData(:,1)==1) a field in an R dataframe is created, which contains the following fields (for details, see description of matlab file above):

obsNum: the ID of the observer (1-24)

condNum: the ID of the condition (1-6)

imgNum: the ID of the image (48 unique numbers between 1 and 135)

fixDur: fixation duration

LUM, LCG, ED, ECC: luminance, contrast, edge density and eccentricity at fixation

empMapFromSearch, empMapFromPref, empMapFromMem, empMapFromJoint: values of empirical maps generated from data of experiment 1 (search, preference, memorization task as well as combination of the latter two) at fixation

empMapFromC1 through empMapFromC6: value of empirical map generated from condition 1 through 6 at fixated location

empMapFromC1loo through empMapFromC6loo -  value of empirical map generated from condition 1 through 6 at fixated location leaving out the current observer

x,y - coordinates of fixation

 

modelsFigure7.R - computes all models for figure 7 of the aforementioned article (Note: depending on your system, this can take substantial time; depending on the version of the lme-package results may deviate slightly from those given in the paper)

modelsFigure8.R - computes all models for figure 8 of the aforementioned article (Note: depending on your system, this can take substantial time; depending on the version of the lme-package results may deviate slightly from those given in the paper)

 

The authors thank the German Research Foundation (DFG; SFB/TRR135) for financial support.
Files (25.4 MB)
Name Size
allData.mat
md5:ee9d94689661ccdbf5c15b20c06bb526
13.7 MB Download
figure7.R
md5:b2028038a66242f4247faaedaa4503d0
2.0 kB Download
figure8.R
md5:78bc7b9fa0aede2384cd510a8c09b257
2.0 kB Download
readme.txt
md5:659e948cb2e07be3c0d4ad5527f64775
4.2 kB Download
usedData.Rdata
md5:758049b16e12e93e039106e1d295ac99
11.7 MB Download
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