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2 results for “Scene viewing”
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."
<p>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.</p> <p>The data can be used freely for academic purposes, provided the aforementioned reference is appropriately cited.</p> <p>The following files are available for experiment 2 of the article:</p> <p>allData.mat</p> <p>Includes the datamatrix allData with the following columns:</p> <p>1) Line used for analysis in the article (0 - no, 1-yes).<br> Possible reasons for exclusion:<br> a. fixation duration smaller than 50ms or larger 1000ms<br> b. fixation adjacent to a blink (preceding or following)<br> c. fixation outside the image</p> <p>2) ID of observer (1-24)</p> <p>3) ID of condition (1:grayscale, 2: reduced luminance, 3: reduced contrast, 4: equalized luminance, 5: equalized contrast, 6: phasenoise)</p> <p>4) ID of image (48 unique numbers between 1 and 135)</p> <p>5) horizontal eye position</p> <p>6) vertical eye position</p> <p>7) fixation duration in ms</p> <p>8) value of empirical map generated from search condition of experiment 1 at fixated location</p> <p>9) value of empirical map generated from preference condition of experiment 1 at fixated location</p> <p>10) value of empirical map generated from memorization condition of experiment 1 at fixated location</p> <p>11) value of empirical map generated from joining memorization and preference condition of experiment 1 at fixated location</p> <p>12) value of empirical map generated from condition 1 at fixated location</p> <p>13) value of empirical map generated from condition 2 at fixated location</p> <p>14) value of empirical map generated from condition 3 at fixated location</p> <p>15) value of empirical map generated from condition 4 at fixated location</p> <p>16) value of empirical map generated from condition 5 at fixated location</p> <p>17) value of empirical map generated from condition 6 at fixated location</p> <p>18) value of empirical map generated from condition 1 at fixated location leaving out the current observer</p> <p>19) value of empirical map generated from condition 2 at fixated location leaving out the current observer</p> <p>20) value of empirical map generated from condition 3 at fixated location leaving out the current observer</p> <p>21) value of empirical map generated from condition 4 at fixated location leaving out the current observer</p> <p>22) value of empirical map generated from condition 5 at fixated location leaving out the current observer</p> <p>23) value of empirical map generated from condition 6 at fixated location leaving out the current observer</p> <p>24) luminance at fixation</p> <p>25) luminance contrast at fixation</p> <p>26) edge density at fixation</p> <p>27) eccentricity of fixation</p> <p> </p> <p>usedData.Rdata</p> <p>- 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):</p> <p>obsNum: the ID of the observer (1-24)</p> <p>condNum: the ID of the condition (1-6)</p> <p>imgNum: the ID of the image (48 unique numbers between 1 and 135)</p> <p>fixDur: fixation duration</p> <p>LUM, LCG, ED, ECC: luminance, contrast, edge density and eccentricity at fixation</p> <p>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</p> <p>empMapFromC1 through empMapFromC6: value of empirical map generated from condition 1 through 6 at fixated location</p> <p>empMapFromC1loo through empMapFromC6loo - value of empirical map generated from condition 1 through 6 at fixated location leaving out the current observer</p> <p>x,y - coordinates of fixation</p> <p> </p> <p>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)</p> <p>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)</p> <p> </p>
Dataset supplementing Einhäuser, W., Atzert, C., & Nuthmann, A. (2020). Fixation durations in natural scene viewing are guided by peripheral scene content. Journal of Vision.
<p>These files supplement the publication</p> <p>Einhäuser, W., Atzert, C., & Nuthmann, A. (2020). Fixation durations in natural scene viewing are guided by peripheral scene content. Journal of Vision.</p> <p><br> The files fixationsByImg_Exp1.mat, fixationsByImg_Exp2.mat and saccadesByImage_Exp2.mat are Matlab (The MathWorks, Inc.) data files that contain the data as described below. To exemplify their usage, the functions figure2.m through figure5.m output the paper’s data figures. All functions were tested using Matlab version 9.6.0 (R2019a) on Windows 10 and on Ubuntu 14.04.</p> <p>All files can be used free of charge for scientific purposes, provided the aforementioned publication is appropriately cited.</p> <p><br> fixations_Exp1.mat contains the variables describing each fixation of experiment 1</p> <p>dFixByImAndCon - fixation duration in ms<br> tFixByImAndCon - start time of fixation relative to image onset in ms<br> xFixByImAndCon - x position on the screen<br> yFixByImAndCon - y position on the screen</p> <p>Notes:<br> - All variables have the dimensions subject (20) x image (60) x colorCondition (2 - grayscale/color) x contrastCondition (5) x fixation number in trial (50).<br> - dFixByImAndCon(:,:,:,:,1), etc. denotes the first fixation _ending_ after image onset, so tFixByImAndCon(:,:,:,:,1) will be negative.<br> - missing data are filled by NaN<br> - x,y position is relative to the screen (1920x1080), not relative to the image, which was presented in the screen center</p> <p> </p> <p>fixations_Exp2.mat contains the variables describing each fixation of experiment 2</p> <p>dFixByImAndCon - fixation duration in ms<br> tFixByImAndCon - start time of fixation relative to image onset in ms<br> xFixByImAndCon - x position on the screen<br> yFixByImAndCon - y position on the screen<br> isModByImAndCon - fixation on unmodified (0) or isoluminant (1) patches<br> transByImAndCon - codes type of transition<br> patch n -> patch n+1<br> unmodified -> unmodified 00 (0)<br> unmodified -> isoluminant 01 (1)<br> isoluminant -> unmodified 10 (10)<br> isoluminant -> isoluminant 11 (11)</p> <p>Notes:<br> - All variables have the dimensions subject (20) x image (60) x condition (4 - unmodied, isoluminant, center-isoluminant, center-unmodified) x fixation number in trial (50).<br> - isModByImAndCon is 1 if the fixated region is isoluminant, and 0 if unmodified, nan for fixations outside the image.<br> - otherwise notation as in fixations_Exp1.mat</p> <p><br> saccades_Exp2.mat contains the variables describing each saccade of experiment 2</p> <p>xFromByImAndCon / yFromByImAndCon - saccade starting coordinate<br> xToByImAndCon / yToByImAndCon - saccade starting coordinate</p> <p>Notes:<br> - variable dimensions as in fixations_Exp2.mat<br> - coordinates refer to screen (1920x1080), not to image</p> <p> </p> <p> </p>
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