Data for: "Scanpath Prediction on Information Visualizations" (doi:10.18419/darus-3361)

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Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Data for: "Scanpath Prediction on Information Visualizations"

doi:10.18419/darus-3361

DaRUS

2023-02-28

2

Wang, Yao, 2023, "Data for: "Scanpath Prediction on Information Visualizations"", https://doi.org/10.18419/darus-3361, DaRUS, V2, UNF:6:cqkNueYjBVCLYaXEqJq3yw== [fileUNF]

Data for: "Scanpath Prediction on Information Visualizations"

doi:10.18419/darus-3361

Wang, Yao (Universität Stuttgart)

Wang, Yao

Bulling, Andreas

Bâce, Mihai

251654672

DaRUS

Bulling, Andreas

Wang, Yao

2023-02-23

https://doi.org/10.18419/darus-3361

Computer and Information Science, Information Visualization, Data Visualization, Machine Learning, Deep Learning

<p>We propose Unified Model of Saliency and Scanpaths (UMSS) - a model that learns to predict multi-duration saliency and scanpaths (i.e. sequences of eye fixations) on information visualisations. Although scanpaths provide rich information about the importance of different visualisation elements during the visual exploration process, prior work has been limited to predicting aggregated attention statistics, such as visual saliency.</p> <p>We present in-depth analyses of gaze behaviour for different information visualisation elements (e.g. Title, Label, Data) on the popular MASSVIS dataset. We show that while, overall, gaze patterns are surprisingly consistent across visualisations and viewers, there are also structural differences in gaze dynamics for different elements. Informed by our analyses, UMSS first predicts multi-duration element-level saliency maps, then probabilistically samples scanpaths from them. Extensive experiments on MASSVIS show that our method consistently outperforms state-of-the-art methods with respect to several, widely used scanpath and saliency evaluation metrics. Our method achieves a relative improvement in sequence score of 11.5 % for scanpath prediction, and a relative improvement in Pearson correlation coefficient of up to 23.6 % for saliency prediction. These results are auspicious and point towards richer user models and simulations of visual attention on visualisations without the need for any eye tracking equipment.</p> <p>This dataset contains saliency maps and scanpaths for UMSS and baseline methods. The structure of the dataset is described in the <a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=198093">README</a>-File. </p>

deep learning code

survey data

Y. Wang, M. Bâce and A. Bulling, "Scanpath Prediction on Information Visualisations," in IEEE Transactions on Visualization and Computer Graphics.

10.1109/TVCG.2023.3242293

Y. Wang, M. Bâce and A. Bulling, "Scanpath Prediction on Information Visualisations," in IEEE Transactions on Visualization and Computer Graphics.

• Number of cases: 18682

• No. of variables per record: 1

• Type of File: text/tab-separated-values

UNF:6:U1KWaguXAdvAO9XTt7G4Kw==

• Number of cases: 18682

• No. of variables per record: 1

• Type of File: text/tab-separated-values

UNF:6:daC50vsZ7O2RFwHpsi1bqg==

• Number of cases: 18682

• No. of variables per record: 1

• Type of File: text/tab-separated-values

UNF:6:gPvBgZSmbIx3L+88TnGpIg==

• Number of cases: 18682

• No. of variables per record: 1

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UNF:6:1bVC+CR7+tn57uY22d5nAA==

• Number of cases: 18682

• No. of variables per record: 1

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UNF:6:1qiOs1VxIM/yNupU/p5y4g==

• Number of cases: 18682

• No. of variables per record: 1

• Type of File: text/tab-separated-values

UNF:6:BxgvQ8Xl5VS10STxBt3AFA==

• Number of cases: 66

• No. of variables per record: 1

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UNF:6:TAdcb1u8BzYPeYLbINarTg==

• Number of cases: 66

• No. of variables per record: 1

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UNF:6:1I0ct7Uu0ekU4Ia1E6rfzQ==

• Number of cases: 66

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UNF:6:NfM4HIAG7/XWT683+8C26g==

• Number of cases: 66

• No. of variables per record: 1

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UNF:6:yVTtVZoox2NeYpW2L6X4EQ==

• Number of cases: 5580

• No. of variables per record: 1

• Type of File: text/tab-separated-values

UNF:6:IhPN2SGLW3Ut1ueMJJm63Q==

• Number of cases: 24800

• No. of variables per record: 1

• Type of File: text/tab-separated-values

UNF:6:8lBuCNxiCjNRc/PRR7uudQ==

• Number of cases: 620

• No. of variables per record: 1

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UNF:6:ZZVHAfFGF32Cv/tcQIlcNg==

• Number of cases: 24800

• No. of variables per record: 1

• Type of File: text/tab-separated-values

UNF:6:av+bMa3X0Zi9qnEKTSQOPA==

• Number of cases: 66

• No. of variables per record: 7

• Type of File: text/tab-separated-values

UNF:6:6Bix9gxNHecpBG4RbA9n4g==

• Number of cases: 66

• No. of variables per record: 7

• Type of File: text/tab-separated-values

UNF:6:sz3urWkXatjZT6XLwT0zKA==

• Number of cases: 66

• No. of variables per record: 7

• Type of File: text/tab-separated-values

UNF:6:auL6Y8+r51HJVenWwF/GYA==

• Number of cases: 66

• No. of variables per record: 7

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UNF:6:zM64bGTYXKS7vnDSVffxkw==

• Number of cases: 39

• No. of variables per record: 5

• Type of File: text/tab-separated-values

UNF:6:pROZ7ZRYDlx5Ir/v3pf+vw==

• Number of cases: 40

• No. of variables per record: 26

• Type of File: text/tab-separated-values

UNF:6:lfqXDCmP+j/cbs3n4sM2oA==

• Number of cases: 41

• No. of variables per record: 26

• Type of File: text/tab-separated-values

UNF:6:6rydVTqquZ1Ce5+T4PYk1A==

• DTW - DTW
• DTW - DTW
• DTW - DTW
• SM - SM
• SM - SM
• SM - SM
• SS - SS
• SS - SS
• SS - SS
• SS - SS
• SS - SS
• SS - SS
• SS - SS
• SS - SS
• R2 - R2
• RMSE - RMSE
• CC - CC
• KL - KL
• SIM - SIM
• NSS - NSS
• AUC - AUC
• R2 - R2
• RMSE - RMSE
• CC - CC
• KL - KL
• SIM - SIM
• NSS - NSS
• AUC - AUC
• R2 - R2
• RMSE - RMSE
• CC - CC
• KL - KL
• SIM - SIM
• NSS - NSS
• AUC - AUC
• R2 - R2
• RMSE - RMSE
• CC - CC
• KL - KL
• SIM - SIM
• NSS - NSS
• AUC - AUC
• A - A
• B - B
• E - E
• C - C
• D - D
• filename - filename
• DCSM-1 - DCSM-1
• DCSM-2 - DCSM-2
• DCSM-3 - DCSM-3
• DCSM-4 - DCSM-4
• DCSM-5 - DCSM-5
• HumanBaseline-1 - HumanBaseline-1
• HumanBaseline-2 - HumanBaseline-2
• HumanBaseline-3 - HumanBaseline-3
• HumanBaseline-4 - HumanBaseline-4
• HumanBaseline-5 - HumanBaseline-5
• Ours-1 - Ours-1
• Ours-2 - Ours-2
• Ours-3 - Ours-3
• Ours-4 - Ours-4
• Ours-5 - Ours-5
• PathGAN-1 - PathGAN-1
• PathGAN-2 - PathGAN-2
• PathGAN-3 - PathGAN-3
• PathGAN-4 - PathGAN-4
• PathGAN-5 - PathGAN-5
• Saltinet-1 - Saltinet-1
• Saltinet-2 - Saltinet-2
• Saltinet-3 - Saltinet-3
• Saltinet-4 - Saltinet-4
• Saltinet-5 - Saltinet-5
• filename - filename
• DCSM-1 - DCSM-1
• DCSM-2 - DCSM-2
• DCSM-3 - DCSM-3
• DCSM-4 - DCSM-4
• DCSM-5 - DCSM-5
• HumanBaseline-1 - HumanBaseline-1
• HumanBaseline-2 - HumanBaseline-2
• HumanBaseline-3 - HumanBaseline-3
• HumanBaseline-4 - HumanBaseline-4
• HumanBaseline-5 - HumanBaseline-5
• Ours-1 - Ours-1
• Ours-2 - Ours-2
• Ours-3 - Ours-3
• Ours-4 - Ours-4
• Ours-5 - Ours-5
• PathGAN-1 - PathGAN-1
• PathGAN-2 - PathGAN-2
• PathGAN-3 - PathGAN-3
• PathGAN-4 - PathGAN-4
• PathGAN-5 - PathGAN-5
• Saltinet-1 - Saltinet-1
• Saltinet-2 - Saltinet-2
• Saltinet-3 - Saltinet-3
• Saltinet-4 - Saltinet-4
• Saltinet-5 - Saltinet-5

f198041 Location:

Summary Statistics: Mean 7286.559959087733; Valid 18682.0; Min. 1606.1854275762557; Max. 19226.968077843405; StDev 2309.9891167423084

Variable Format: numeric

Notes: UNF:6:U1KWaguXAdvAO9XTt7G4Kw==

f198022 Location:

Summary Statistics: Mean 6529.111735754338; Valid 18682.0; StDev 1855.1130837314163; Min. 1386.7212037302702; Max. 16050.01705108011

Variable Format: numeric

Notes: UNF:6:daC50vsZ7O2RFwHpsi1bqg==

f198057 Location:

Summary Statistics: Mean 6570.352198582739; Max. 15691.904124873405; Valid 18682.0; Min. 1621.4200707692517; StDev 1855.5473293719751

Variable Format: numeric

Notes: UNF:6:gPvBgZSmbIx3L+88TnGpIg==

f198043 Location:

Summary Statistics: Max. 0.67; Min. 0.03; Mean 0.3809232951504122; StDev 0.08381881891982805; Valid 18682.0

Variable Format: numeric

Notes: UNF:6:1bVC+CR7+tn57uY22d5nAA==

f198032 Location:

Summary Statistics: StDev 0.09471902408628353; Max. 0.77; Mean 0.3305759554651536; Min. 0.019; Valid 18682.0

Variable Format: numeric

Notes: UNF:6:1qiOs1VxIM/yNupU/p5y4g==

f198067 Location:

Summary Statistics: Max. 0.708; StDev 0.08923358379179779; Valid 18682.0; Mean 0.38733620597366447; Min. 0.02

Variable Format: numeric

Notes: UNF:6:BxgvQ8Xl5VS10STxBt3AFA==

f198064 Location:

Summary Statistics: Min. 0.3; Max. 0.8235294117647058; Mean 0.5800688098310897; StDev 0.1258017568515341; Valid 66.0

Variable Format: numeric

Notes: UNF:6:TAdcb1u8BzYPeYLbINarTg==

f198097 Location:

Summary Statistics: Max. 0.78125; Mean 0.5027333837036104; Min. 0.0967741935483871; StDev 0.1631455942977643; Valid 66.0

Variable Format: numeric

Notes: UNF:6:1I0ct7Uu0ekU4Ia1E6rfzQ==

f198089 Location:

Summary Statistics: Min. 0.52; Max. 0.8461538461538461; StDev 0.09183252703642272; Mean 0.6757081020844038; Valid 66.0

Variable Format: numeric

Notes: UNF:6:NfM4HIAG7/XWT683+8C26g==

f198055 Location:

Summary Statistics: Valid 66.0; Min. 0.5909090909090909; Mean 0.7237682669517116; Max. 0.8947368421052632; StDev 0.07619433449844579

Variable Format: numeric

Notes: UNF:6:yVTtVZoox2NeYpW2L6X4EQ==

f198054 Location:

Summary Statistics: StDev 0.18258842656652643; Min. 0.0; Mean 0.3345463633157269; Max. 0.9285714285714286; Valid 5580.0

Variable Format: numeric

Notes: UNF:6:IhPN2SGLW3Ut1ueMJJm63Q==

f198037 Location:

Summary Statistics: Max. 0.8571428571428571; Min. 0.0; Mean 0.3962331715557367; Valid 24800.0; StDev 0.13627981891709304;

Variable Format: numeric

Notes: UNF:6:8lBuCNxiCjNRc/PRR7uudQ==

f198073 Location:

Summary Statistics: Mean 0.4001351896283601; Min. 0.0; Valid 620.0; Max. 0.8235294117647058; StDev 0.16245046534802518;

Variable Format: numeric

Notes: UNF:6:ZZVHAfFGF32Cv/tcQIlcNg==

f197996 Location:

Summary Statistics: StDev 0.1333630955274963; Valid 24800.0; Mean 0.44567534500706846; Max. 0.8947368421052632; Min. 0.0

Variable Format: numeric

Notes: UNF:6:av+bMa3X0Zi9qnEKTSQOPA==

f197991 Location:

Summary Statistics: Max. 0.056358760915002915; Mean -2.5817218281812284; Min. -15.109849541994937; Valid 66.0; StDev 2.9908972676915724

Variable Format: numeric

Notes: UNF:6:ktlKc562qN9LnAXnNeHO/Q==

f197991 Location:

Summary Statistics: Mean 0.21470686764704164; Max. 0.42720087974778975; Valid 66.0; StDev 0.05958496358547539; Min. 0.09868295907555139

Variable Format: numeric

Notes: UNF:6:7pYnNDX2ZgbQlfAC1pYOCw==

f197991 Location:

Summary Statistics: Min. -0.08149532971393407; Max. 0.718059341691125; Valid 66.0; Mean 0.4560861083152127; StDev 0.16413558873699471

Variable Format: numeric

Notes: UNF:6:TVAm2tIjnVdbxI2kHqZZtw==

f197991 Location:

Summary Statistics: Min. 0.47256041787995284; Mean 0.9330258095717309; Max. 1.6820065336285095; StDev 0.25852755206618877; Valid 66.0;

Variable Format: numeric

Notes: UNF:6:ISJrb6UTDnMNSse24Bv22A==

f197991 Location:

Summary Statistics: StDev 0.07479260528986385; Valid 66.0; Mean 0.44932772553387; Min. 0.2842114076279742; Max. 0.6022591627040599

Variable Format: numeric

Notes: UNF:6:gAqD17Ze/t0P7vSkp7OJUg==

f197991 Location:

Summary Statistics: Max. 2.373346514123322; Min. -0.14152293160007778; StDev 0.4325310426219655; Valid 66.0; Mean 1.1060527796138184

Variable Format: numeric

Notes: UNF:6:RQx0pRPXzu0tvFpT8acaZQ==

f197991 Location:

Summary Statistics: StDev 0.07075684184649503; Min. 0.4776056951871658; Mean 0.7535183020464598; Max. 0.8864933849557524; Valid 66.0

Variable Format: numeric

Notes: UNF:6:9wEwh2+GqxcWUWvEOpOYiw==

f198040 Location:

Summary Statistics: StDev 2.352417085798224; Max. 0.41430223109669695; Min. -12.643487050537784; Mean -1.6570890585830005; Valid 66.0;

Variable Format: numeric

Notes: UNF:6:mzQ3g4VTfyTrQUiZy6Q/UA==

f198040 Location:

Summary Statistics: Max. 0.41533697650154894; StDev 0.058072768431618564; Mean 0.20049939740310774; Valid 66.0; Min. 0.09428351456194653;

Variable Format: numeric

Notes: UNF:6:aMjG5ut1yv5au7tnM5Iwfg==

f198040 Location:

Summary Statistics: StDev 0.1705273107119528; Max. 0.7815464626737589; Mean 0.5096714373384392; Valid 66.0; Min. -0.05661642583871507

Variable Format: numeric

Notes: UNF:6:1alXVUOmi+6RrDn2Ygph8A==

f198040 Location:

Summary Statistics: Mean 0.6811664917746857; Valid 66.0; Max. 1.3102594837597936; StDev 0.23376904937028134; Min. 0.3267251049892548;

Variable Format: numeric

Notes: UNF:6:vtnD7QoNv2d+Rzq+XBez8Q==

f198040 Location:

Summary Statistics: Valid 66.0; Min. 0.3468067598699913; StDev 0.07859095521073681; Max. 0.6736013590398197; Mean 0.5312100094614343

Variable Format: numeric

Notes: UNF:6:IU99S95pS4ZlOkCAejBhuQ==

f198040 Location:

Summary Statistics: StDev 0.36100785776767785; Max. 2.047777157927967; Valid 66.0; Mean 1.0310224145198226; Min. -0.06129995409617169;

Variable Format: numeric

Notes: UNF:6:Ro5/o0VGSROHfewueBVxDw==

f198040 Location:

Summary Statistics: Min. 0.5135569339622641; Valid 66.0; StDev 0.06298954007751413; Mean 0.7422188833295561; Max. 0.858186418918919;

Variable Format: numeric

Notes: UNF:6:SfkbTrdppFwgdTdB4IoGbQ==

f197971 Location:

Summary Statistics: Valid 66.0; Min. -6.040871728072524; Mean -0.22511534073945086; StDev 0.9599450718026095; Max. 0.7479074834946762

Variable Format: numeric

Notes: UNF:6:LIqljhz5UMCJ0vCM6qnnig==

f197971 Location:

Summary Statistics: Max. 0.3134341425653576; Min. 0.04872403288807618; Valid 66.0; Mean 0.1301786130269026; StDev 0.04015229642736486;

Variable Format: numeric

Notes: UNF:6:s0cONWFVYLP2y7qrY+YSQw==

f197971 Location:

Summary Statistics: Min. 0.13330676573023714; Mean 0.5857467137511447; Max. 0.8706193742555461; StDev 0.14915602185380755; Valid 66.0

Variable Format: numeric

Notes: UNF:6:LsiUdyJki3X65EgefW9AyQ==

f197971 Location:

Summary Statistics: StDev 0.19630576711765665; Min. 0.3132253995075677; Max. 1.2375090188102107; Valid 66.0; Mean 0.7541585726201128;

Variable Format: numeric

Notes: UNF:6:LAsnVkgA6qZfiQQ9Wx8ufA==

f197971 Location:

Summary Statistics: Min. 0.3382876415432413; Mean 0.5161682552174248; Valid 66.0; Max. 0.6989664028623971; StDev 0.07175336202757145;

Variable Format: numeric

Notes: UNF:6:KWunnR6M8493/lh5elxOrw==

f197971 Location:

Summary Statistics: Max. 2.582108193246719; Valid 66.0; StDev 0.49356856318103504; Min. 0.32605457059835524; Mean 1.4062510567726692

Variable Format: numeric

Notes: UNF:6:1hvUXQqmi1DbMUKzZ8yI8g==

f197971 Location:

Summary Statistics: Valid 66.0; Max. 0.8796405405405405; Min. 0.5970726; Mean 0.7297266236241732; StDev 0.05605094883617303

Variable Format: numeric

Notes: UNF:6:TLLYaeJjEgRCy7frMlQOmw==

f198096 Location:

Summary Statistics: Max. 0.6342687025696114; StDev 1.4657414603291568; Min. -5.435689237930642; Valid 66.0; Mean -1.0734213332431954

Variable Format: numeric

Notes: UNF:6:YrzexZkolphM8d6Ib+ZOtQ==

f198096 Location:

Summary Statistics: Mean 0.1821690975163738; Min. 0.07414744647018642; Max. 0.36243563785150024; Valid 66.0; StDev 0.05872211807590463;

Variable Format: numeric

Notes: UNF:6:wf07UFvbl2fuk9v6BhVSIQ==

f198096 Location:

Summary Statistics: Valid 66.0; Min. 0.19985907127761046; StDev 0.12618593655127075; Max. 0.818715961084799; Mean 0.5135932201199293

Variable Format: numeric

Notes: UNF:6:XmuIDU71LMchRsbBTFVq0g==

f198096 Location:

Summary Statistics: Valid 66.0; StDev 0.17796854794011027; Min. 0.29674027498763017; Mean 0.6891108982535399; Max. 1.1482242839099501;

Variable Format: numeric

Notes: UNF:6:SE/RiltNi/oDwC79h/A3nQ==

f198096 Location:

Summary Statistics: Mean 0.5295873684717392; StDev 0.05989210721227034; Min. 0.38686045592722385; Max. 0.6945689179927279; Valid 66.0

Variable Format: numeric

Notes: UNF:6:tRWT+5dPxXnyjEUFYfFjjA==

f198096 Location:

Summary Statistics: StDev 0.32538161579712765; Min. 0.3526439939165202; Max. 1.795744453791425; Valid 66.0; Mean 1.0239336471133431

Variable Format: numeric

Notes: UNF:6:wLxT+aKZkuqRdDYPl1I7yQ==

f198096 Location:

Summary Statistics: Min. 0.57519125; Valid 66.0; StDev 0.056675018684496745; Max. 0.8665227702702702; Mean 0.7320096397169196

Variable Format: numeric

Notes: UNF:6:jlFVCd2+7/yfU1ZmzffQQA==

f197970 Location:

Variable Format: character

Notes: UNF:6:RVqDy834eWlsTrCmKYuXpA==

f197970 Location:

Variable Format: character

Notes: UNF:6:x7qRBH5R593lcex0y+UCTw==

f197970 Location:

Variable Format: character

Notes: UNF:6:6ELI177NG+l96m6C5I8wCw==

f197970 Location:

Variable Format: character

Notes: UNF:6:LgPji7eEoRDE2mrfr3VX+A==

f197970 Location:

Variable Format: character

Notes: UNF:6:0IcI+jgvrfmIFV6GMbCoNA==

f198026 Location:

Variable Format: character

Notes: UNF:6:4kvKQv4zEgNUYpEpzod2Lw==

f198026 Location:

Summary Statistics: Min. 0.0; Max. 1.0; StDev 0.4050957468334668; Mean 0.2; Valid 40.0

Variable Format: numeric

Notes: UNF:6:+OUgxSvyM9HsJO8YM6XskA==

f198026 Location:

Summary Statistics: Mean 0.9499999999999998; Valid 40.0; StDev 1.259833118781804; Min. 0.0; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:Q24qlL1EvuzangDsyXG7cQ==

f198026 Location:

Summary Statistics: Min. 1.0; Valid 40.0; StDev 1.5557997366347704; Max. 7.0; Mean 2.8

Variable Format: numeric

Notes: UNF:6:BT7WpZVfp32eJnlmLP7Fkw==

f198026 Location:

Summary Statistics: Mean 3.5; Min. 0.0; Max. 6.0; StDev 1.6946370914726467; Valid 40.0

Variable Format: numeric

Notes: UNF:6:uSiQ7UsVVdjMn6/SQhgWDw==

f198026 Location:

Summary Statistics: Min. 0.0; Mean 2.5499999999999994; Valid 40.0; Max. 8.0; StDev 2.0374695215590473;

Variable Format: numeric

Notes: UNF:6:qkE0AhNE/Ek9ReMejxRiBg==

f198026 Location:

Summary Statistics: Valid 40.0; Min. 1.0; StDev 2.480565485570806; Mean 6.275; Max. 10.0

Variable Format: numeric

Notes: UNF:6:epKSxbmTtyjt6KuTNGc+Xw==

f198026 Location:

Summary Statistics: StDev 2.0254787341673333; Valid 40.0; Mean 2.5; Min. 0.0; Max. 8.0

Variable Format: numeric

Notes: UNF:6:w1FK76ImIPSrDXnCtUlS9w==

f198026 Location:

Summary Statistics: Max. 5.0; Min. 0.0; Mean 0.9; Valid 40.0; StDev 1.0573309405993558;

Variable Format: numeric

Notes: UNF:6:mjHBloK2A49ZNp8JDKED7g==

f198026 Location:

Summary Statistics: Max. 3.0; Min. 0.0; StDev 0.5986094998689325; Mean 0.275; Valid 40.0

Variable Format: numeric

Notes: UNF:6:9Yo7+poSdXdai3HDMxOsjA==

f198026 Location:

Summary Statistics: Valid 40.0; Max. 1.0; StDev 0.22072142786315216; Min. 0.0; Mean 0.05

Variable Format: numeric

Notes: UNF:6:/V5QO3VfDqsnGY7JO/EYlw==

f198026 Location:

Summary Statistics: StDev 2.521573582771943; Valid 40.0; Min. 0.0; Mean 3.2750000000000004; Max. 9.0

Variable Format: numeric

Notes: UNF:6:gIXqRITBR9KWzh7qxpQ9gA==

f198026 Location:

Summary Statistics: Min. 1.0; Mean 4.825; Max. 9.0; StDev 1.795828499606797; Valid 40.0;

Variable Format: numeric

Notes: UNF:6:OUeh3RV62Uj45lmYDL3U6g==

f198026 Location:

Summary Statistics: Max. 5.0; Min. 0.0; Valid 40.0; Mean 0.9250000000000002; StDev 1.2687061852987809;

Variable Format: numeric

Notes: UNF:6:TMW2uX9O4gJXW//EWMR47g==

f198026 Location:

Summary Statistics: Max. 6.0; Valid 40.0; Mean 0.75; StDev 1.35400640077266; Min. 0.0

Variable Format: numeric

Notes: UNF:6:4UWXciNG/en7rlNLi/GjTA==

f198026 Location:

Summary Statistics: Max. 2.0; Valid 40.0; Min. 0.0; Mean 0.225; StDev 0.4797167967959901

Variable Format: numeric

Notes: UNF:6:2hTPCp+2WxorXtRHLig52Q==

f198026 Location:

Summary Statistics: Mean 0.15000000000000002; Min. 0.0; Valid 40.0; Max. 3.0; StDev 0.5795665931516726

Variable Format: numeric

Notes: UNF:6:1egjKn5MePbomnDaM9+lTg==

f198026 Location:

Summary Statistics: StDev 1.0833826418758739; Mean 0.575; Max. 5.0; Valid 40.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:Y12DZlpUOqosUeSkjZLEOw==

f198026 Location:

Summary Statistics: Valid 40.0; StDev 1.4535544409551753; Max. 5.0; Min. 0.0; Mean 1.7

Variable Format: numeric

Notes: UNF:6:h2KDwxWKa8tFk5wmGF57lw==

f198026 Location:

Summary Statistics: StDev 1.501921845759369; Max. 6.0; Valid 40.0; Min. 0.0; Mean 2.475

Variable Format: numeric

Notes: UNF:6:Rg+3/rept5sFKeuBBp3vUg==

f198026 Location:

Summary Statistics: StDev 2.10980616438621; Valid 40.0; Min. 0.0; Mean 5.1; Max. 9.0;

Variable Format: numeric

Notes: UNF:6:FuyY2d8AWz6EXhLHFvAC3g==

f198026 Location:

Summary Statistics: Min. 0.0; Valid 40.0; Mean 0.1; Max. 1.0; StDev 0.3038218101250999;

Variable Format: numeric

Notes: UNF:6:dpN7X5dPmnaIXy2QUBAwhA==

f198026 Location:

Summary Statistics: Mean 1.15; StDev 1.1886212655091244; Valid 40.0; Min. 0.0; Max. 5.0

Variable Format: numeric

Notes: UNF:6:FibmGWErC4uiJnk/t/mwiA==

f198026 Location:

Summary Statistics: StDev 2.004961793868351; Valid 40.0; Min. 1.0; Mean 3.675; Max. 7.0

Variable Format: numeric

Notes: UNF:6:gODVCJYrE2ufO1LH8O40/Q==

f198026 Location:

Summary Statistics: Valid 40.0; StDev 1.5021352323976216; Mean 3.0; Min. 0.0; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:RqmIhrcgmJca66WS9HiY6w==

f198026 Location:

Summary Statistics: Mean 2.075; Min. 1.0; Max. 9.0; Valid 40.0; StDev 1.6546360665779385;

Variable Format: numeric

Notes: UNF:6:pnc0G1XStRDdgqb6eAGS+g==

f198020 Location:

Variable Format: character

Notes: UNF:6:ScGMSlL7zVR1UZ+Ssg5Z9w==

f198020 Location:

Summary Statistics: Valid 41.0; Mean 0.3902439024390243; StDev 1.28214758862792; Min. 0.0; Max. 8.0;

Variable Format: numeric

Notes: UNF:6:UyL8g6rUL7e8M1Sm+8+Ogg==

f198020 Location:

Summary Statistics: StDev 5.918449862969847; Mean 1.853658536585366; Min. 0.0; Valid 41.0; Max. 38.0

Variable Format: numeric

Notes: UNF:6:8yO9cXkfP/9DUHT9cte/gQ==

f198020 Location:

Summary Statistics: Valid 41.0; Max. 112.0; StDev 17.123226274530754; Mean 5.46341463414634; Min. 1.0

Variable Format: numeric

Notes: UNF:6:+0y1B++/OogXc0w3zhLmWQ==

f198020 Location:

Summary Statistics: Valid 41.0; Min. 0.0; StDev 21.38329071848436; Max. 140.0; Mean 6.829268292682927;

Variable Format: numeric

Notes: UNF:6:+AXfpLFOJelEpoV7xZHxRg==

f198020 Location:

Summary Statistics: Max. 102.0; Valid 41.0; StDev 15.661238464562835; Mean 4.975609756097562; Min. 0.0

Variable Format: numeric

Notes: UNF:6:vPMQnnBqUlIeeyMdCjCtBA==

f198020 Location:

Summary Statistics: Min. 1.0; Max. 251.0; Valid 41.0; StDev 38.29802898832059; Mean 12.243902439024387

Variable Format: numeric

Notes: UNF:6:QipWJEU7fKQw1ehL8l9ncw==

f198020 Location:

Summary Statistics: Max. 100.0; Valid 41.0; StDev 15.357726267177737; Mean 4.878048780487806; Min. 0.0

Variable Format: numeric

Notes: UNF:6:QEWXQPTzL+AEXV3T8Mn+Tg==

f198020 Location:

Summary Statistics: Valid 41.0; Max. 36.0; StDev 5.580235155461094; Min. 0.0; Mean 1.7560975609756093;

Variable Format: numeric

Notes: UNF:6:bCOt+ITvjSG/90ktBZp5FA==

f198020 Location:

Summary Statistics: Valid 41.0; Min. 0.0; Max. 11.0; Mean 0.5365853658536582; StDev 1.7761976378715536

Variable Format: numeric

Notes: UNF:6:QVlIuuS39YOC7e0LMlreRQ==

f198020 Location:

Summary Statistics: Mean 0.09756097560975607; Valid 41.0; Max. 2.0; StDev 0.3744915251898558; Min. 0.0

Variable Format: numeric

Notes: UNF:6:yZyKeBRLntt7DOkK6O0ZUA==

f198020 Location:

Summary Statistics: Max. 131.0; Min. 0.0; Valid 41.0; StDev 20.102087016999615; Mean 6.390243902439025

Variable Format: numeric

Notes: UNF:6:l1o89NwiStUP4wDw8KJ45g==

f198020 Location:

Summary Statistics: Mean 9.414634146341468; Max. 193.0; Min. 1.0; StDev 29.44144664393727; Valid 41.0;

Variable Format: numeric

Notes: UNF:6:voHaT0IwjvoWwN3zopun0A==

f198020 Location:

Summary Statistics: StDev 5.771566131454797; Mean 1.8048780487804879; Min. 0.0; Max. 37.0; Valid 41.0

Variable Format: numeric

Notes: UNF:6:O76EIzfsw0PCmIUaKnDiTw==

f198020 Location:

Summary Statistics: Mean 1.4634146341463408; Valid 41.0; Max. 30.0; Min. 0.0; StDev 4.759714072166572;

Variable Format: numeric

Notes: UNF:6:Clt36nH071ilTbrjBIzUXw==

f198020 Location:

Summary Statistics: Min. 0.0; Max. 9.0; Valid 41.0; StDev 1.4499789737752211; Mean 0.4390243902439022

Variable Format: numeric

Notes: UNF:6:AqT59za5r8Z39M2BC8ZWyg==

f198020 Location:

Summary Statistics: Min. 0.0; Max. 6.0; Valid 41.0; Mean 0.2926829268292683; StDev 1.0780515395616386

Variable Format: numeric

Notes: UNF:6:Mmpc4TD7tdv9R/4UtBqltw==

f198020 Location:

Summary Statistics: Mean 1.1219512195121957; StDev 3.661933382458094; Max. 23.0; Valid 41.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:fadvhMyiUWbBJpluxOrlVA==

f198020 Location:

Summary Statistics: Max. 68.0; Valid 41.0; Mean 3.3170731707317063; StDev 10.453322496675982; Min. 0.0

Variable Format: numeric

Notes: UNF:6:R+FMeQNTzqsR6/XEll40CA==

f198020 Location:

Summary Statistics: Valid 41.0; Mean 4.829268292682928; Min. 0.0; StDev 15.14744605374845; Max. 99.0

Variable Format: numeric

Notes: UNF:6:jS9z8WMoq+ck/gekoKYlLg==

f198020 Location:

Summary Statistics: Valid 41.0; Max. 204.0; StDev 31.132740980768297; Mean 9.951219512195127; Min. 0.0

Variable Format: numeric

Notes: UNF:6:blM1688BKauXI64QCm32EA==

f198020 Location:

Summary Statistics: Mean 0.19512195121951215; Valid 41.0; StDev 0.6789518464192417; Max. 4.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:PIADz851gV8fofhCXngjNg==

f198020 Location:

Summary Statistics: Mean 2.2439024390243913; Valid 41.0; StDev 7.102043677016067; Max. 46.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:QSk79fTqzS35xgx9r5haog==

f198020 Location:

Summary Statistics: Mean 7.170731707317073; Max. 147.0; StDev 22.470984000510963; Min. 1.0; Valid 41.0

Variable Format: numeric

Notes: UNF:6:7nHgpbBBDDJCOlPqy5OTBQ==

f198020 Location:

Summary Statistics: Max. 120.0; Min. 0.0; Mean 5.853658536585364; Valid 41.0; StDev 18.332431611231716

Variable Format: numeric

Notes: UNF:6:IKwh70x6f5c7UJ2DBhqS2A==

f198020 Location:

Summary Statistics: StDev 12.743530161443092; Min. 1.0; Max. 83.0; Mean 4.04878048780488; Valid 41.0;

Variable Format: numeric

Notes: UNF:6:XNmX0yHr35QSTv9eFVjCkw==

Label:

README.md

text/markdown

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README.md

text/markdown

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preprocess_utils.py

text/x-python

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requirements.txt

text/plain

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best_metrics_DCSM.py

text/x-python

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best_metrics_human_GTindividual.py

text/x-python

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best_metrics_pathgan_csv_GTindividual.py

text/x-python

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best_metrics_saltinet_csv_GTindividual.py

text/x-python

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best_stringsim_Human_GT_sum.py

text/x-python

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best_stringsim_tsv_GTindividual.py

text/x-python

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exnorm.png

image/png

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exponnorm_estimation.py

text/x-python

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metrics.py

text/x-python

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metrics_DCSM.py

text/x-python

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metrics_human_GTindividual.py

text/x-python

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metrics_npz_GTindividual.py

text/x-python

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metrics_pathgan_csv_GTindividual.py

text/x-python

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metrics_saltinet_csv_GTindividual.py

text/x-python

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metrics_tsv_GTindividual.py

text/x-python

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saliency_saltinet_csv.py

text/x-python

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stringsim_GTindiv_nsamples_5s_new.txt

text/plain

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stringsim_Human_GT_individual.py

text/x-python

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stringsim_Human_GT_sum.py

text/x-python

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stringsim_tsv_GTindividual.py

text/x-python

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utils.py

text/x-python

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__init__.py

text/x-python

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stringsim_DVS_GTindiv_5s.txt

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stringsim_GTindiv_baseline_5s.txt

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stringsim_GTindiv_nsample_5s.txt

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stringsim_human_GTindiv_5s.txt

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stringsim_MDSEM_GTindiv_5s.txt

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stringsim_Saltinet_GTindiv_5s.txt

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stringsim_tsv_GTindiv_5s.txt

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stringsim_tsv_GTindiv_5s_nsamples.txt

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nc2020_best.txt

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pathgan_best.txt

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saltinet_best.txt

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UMSS_best.txt

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mdeam_mean.txt

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mdsem_mean.txt

text/plain

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nc2020_mean.txt

text/plain

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UMSS_mean.txt

text/plain

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hungarian.py

text/x-python

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massvis_hungarian.py

text/x-python

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mm_massvis_human_GTindividual.py

text/x-python

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mm_massvis_nc2020_csv_GTindividual.py

text/x-python

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mm_massvis_npz_GTindividual.py

text/x-python

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mm_massvis_pathganoffi_csv_GTindividual.py

text/x-python

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mm_massvis_pathgan_csv_GTindividual.py

text/x-python

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mm_massvis_saltinet_csv_GTindividual.py

text/x-python

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mm_massvis_tsv_GTindividual.py

text/x-python

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multimatch.py

text/x-python

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README

text/plain; charset=US-ASCII

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0_gt2tsv.py

text/x-python

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0_gt_indiv2npz.py

text/x-python

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1_csv2tsv.py

text/x-python

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1_csv2tsv_pathgan.py

text/x-python

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2_npz2tsv.py

text/x-python

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3_pathgantsv2str.py

text/x-python

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3_tsv2str.py

text/x-python

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change_column.py

text/x-python

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gt_stats.py

text/x-python

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split_massvis.py

text/x-python

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tsv_coord.py

text/x-python

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abl.npz

application/octet-stream

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cmb.npz

application/octet-stream

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dur.npz

application/octet-stream

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eval.py

text/x-python

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eval_dvs.py

text/x-python

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eval_mdeam.py

text/x-python

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fixation_all_analysis.ipynb

application/x-ipynb+json

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fixation_individual_analysis.ipynb

application/x-ipynb+json

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fixation_sum_analysis_overlap.py

text/x-python

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fixation_sum_analysis_overlap_area.py

text/x-python

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lcm.npz

application/octet-stream

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ls.npz

application/octet-stream

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mg.npz

application/octet-stream

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pi.npz

application/octet-stream

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plot_heatmap.py

text/x-python

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polygon_util.py

text/x-python

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rb.npz

application/octet-stream

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rk.npz

application/octet-stream

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saliency_toolbox.ipynb

application/x-ipynb+json

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sal_imp_utilities.py

text/x-python

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sok.npz

application/octet-stream

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wab.npz

application/octet-stream

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attentive_convlstm_new.py

text/x-python

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cb.py

text/x-python

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classif_capable_models.py

text/x-python

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data_loading.py

text/x-python

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dcn_resnet_new.py

text/x-python

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gaussian_prior_new.py

text/x-python

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losses_keras2.py

text/x-python

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multiduration_models.py

text/x-python

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saltinet_util.py

text/x-python

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util.py

text/x-python

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visualization_functions.py

text/x-python

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xception_custom.py

text/x-python

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generate_Massvis-EFD.ipynb

application/x-ipynb+json

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saltinet_util.py

text/x-python

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UMSS-S1.ipynb

application/x-ipynb+json

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UMSS-S2.ipynb

application/x-ipynb+json

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plot_element_map.py

text/x-python

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plot_individual.py

text/x-python

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tsv_visualization.py

text/x-python

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visualization_utils.py

text/x-python

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DCSM.zip

application/zip

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DVS.zip

application/zip

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MASSVIS-MDEFD.zip

application/zip

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PathGAN.zip

application/zip

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Saltinet.zip

application/zip

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GT_EFD_500_2000_5000.zip

application/zip

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UMSS.zip

application/zip

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decodeLatinSquare.py

text/x-python

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generated_gifs.zip

application/zip

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statistics.py

text/x-python

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StudyResult.csv

text/csv