forked from VisDunneRight/Indy-Survey-Tool
-
Notifications
You must be signed in to change notification settings - Fork 0
/
survey-data.json
6038 lines (6038 loc) · 190 KB
/
survey-data.json
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
{
"meta": [
{
"name": "Name",
"type": "String"
},
{
"name": "Opportunity",
"type": "MultiSelect"
},
{
"name": "Contribution Type",
"type": "MultiSelect"
},
{
"name": "Data Domain",
"type": "MultiSelect"
},
{
"name": "Dataset Types",
"type": "MultiSelect"
},
{
"name": "Dataset Generation",
"type": "MultiSelect"
},
{
"name": "Presentation",
"type": "MultiSelect"
},
{
"name": "Device",
"type": "MultiSelect"
},
{
"name": "Input",
"type": "MultiSelect"
},
{
"name": "Environment",
"type": "MultiSelect"
},
{
"name": "Space",
"type": "MultiSelect"
},
{
"name": "Embodiment",
"type": "MultiSelect"
},
{
"name": "Collaboration ",
"type": "MultiSelect"
},
{
"name": "Interaction",
"type": "MultiSelect"
},
{
"name": "Visualization",
"type": "MultiSelect"
},
{
"name": "Abstract/Natural",
"type": "MultiSelect"
},
{
"name": "Manipulate",
"type": "MultiSelect"
},
{
"name": "Position",
"type": "MultiSelect"
},
{
"name": "Scale",
"type": "MultiSelect"
},
{
"name": "2D or 3D",
"type": "MultiSelect"
},
{
"name": "Year",
"type": "Timeline"
},
{
"name": "Bibtex",
"type": "String"
},
{
"name": "DOI",
"type": "String"
},
{
"name": "Authors",
"type": "MultiSelect"
},
{
"name": "Image",
"type": "String"
}
],
"data": [
{
"Name": "\"Tilt Map: Interactive Transitions Between Choropleth Map, Prism Map and Bar Chart in Immersive Environments\"",
"Opportunity": [
"Embodied Data Exploration"
],
"Contribution Type": [
"Evaluation"
],
"Data Domain": [
"General"
],
"Dataset Types": [
"Tabular",
"Spatial"
],
"Dataset Generation": [
"Static",
"Pre-computation"
],
"Presentation": [
"VR",
"HMD"
],
"Device": [
"HTC Vive pro"
],
"Input": [
"Commercial Controller"
],
"Environment": [
"Room Scale"
],
"Space": [
"Finite"
],
"Embodiment": [
"Egocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Grab",
"Move"
],
"Visualization": [
"2D Bar Chart",
"2D Map",
"3D Map"
],
"Abstract/Natural": [
"Abstract",
"Natural Spatial Mapping"
],
"Manipulate": [
"Change",
"Rotate"
],
"Position": [
"Unfixed"
],
"Scale": [
"Medium"
],
"2D or 3D": [
"2D",
"3D"
],
"Year": "2021",
"Bibtex": "@ARTICLE{9123548,\n author={Yang, Yalong and Dwyer, Tim and Marriott, Kim and Jenny, Bernhard and Goodwin, Sarah},\n journal={IEEE Transactions on Visualization and Computer Graphics}, \n title={Tilt Map: Interactive Transitions Between Choropleth Map, Prism Map and Bar Chart in Immersive Environments}, \n year={2021},\n volume={27},\n number={12},\n pages={4507-4519},\n doi={10.1109/TVCG.2020.3004137}}",
"DOI": "10.1109/TVCG.2020.3004137",
"Authors": [
"Y. Yang; T. Dwyer; K. Marriott; B. Jenny; S. Goodwin"
],
"img": "tiltmap.jpg",
"Open Access": "https://ialab.it.monash.edu/~dwyer/papers/TiltMap.pdf"
},
{
"Name": "\"Towards Sailing supported by Augmented Reality: Motivation, Methodology and Perspectives\"",
"Opportunity": [
"Situated Analytics"
],
"Contribution Type": [
"Design Study"
],
"Data Domain": [
"PNT"
],
"Dataset Types": [
"Spatial"
],
"Dataset Generation": [
"Live-computation",
"Dynamic"
],
"Presentation": [
"AR",
"HMD"
],
"Device": [
"Hololens 2"
],
"Input": [
"Custom Controller"
],
"Environment": [
"Outdoors"
],
"Space": [
"Situated"
],
"Embodiment": [
"Egocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Move"
],
"Visualization": [
"2D Radial Chart"
],
"Abstract/Natural": [
"Abstract"
],
"Manipulate": [
"Navigate"
],
"Position": [
"Fixed (Object)"
],
"Scale": [
"Medium"
],
"2D or 3D": [
"2D"
],
"Year": "2020",
"Bibtex": "'@INPROCEEDINGS{9288459,\n author={Laera, Francesco. and Foglia, Mario M.. and Evangelista, Alessandro. and Boccaccio, Antonio. and Gattullo, Michele. and Manghisi, Vito M.. and Gabbard, Joseph L.. and Uva, Antonio E.. and Fiorentino, Michele.},\n booktitle={2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}, \n title={Towards Sailing supported by Augmented Reality: Motivation, Methodology and Perspectives}, \n year={2020},\n volume={},\n number={},\n pages={269-274},\n doi={10.1109/ISMAR-Adjunct51615.2020.00076}}",
"DOI": "10.1109/ISMAR-Adjunct51615.2020.00076",
"Authors": [
"F. Laera; M. M. Foglia; A. Evangelista; A. Boccaccio; M. Gattullo; V. M. Manghisi; J. L. Gabbard; A. E. Uva; M. Fiorentino"
],
"img": "sailing.gif",
"Open Access": "na"
},
{
"Name": "[POSTER] HoloBee: Augmented Reality Based Bee Drift Analysis",
"Opportunity": [
"Embodied Data Exploration"
],
"Contribution Type": [
"Design Study"
],
"Data Domain": [
"Ecology",
"Biology",
"Life sciences"
],
"Dataset Types": [
"Spatial",
"Network"
],
"Dataset Generation": [
"Static",
"Pre-computation"
],
"Presentation": [
"HMD",
"AR"
],
"Device": [
"Hololens"
],
"Input": [
"Voice",
"Gaze",
"Gesture"
],
"Environment": [
"Seated",
"Table"
],
"Space": [
"Situated"
],
"Embodiment": [
"Egocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Gesture",
"Gaze",
"Pinch",
"Speak"
],
"Visualization": [
"Area Chart",
"3D Origin Destination",
"3D Map"
],
"Abstract/Natural": [
"Natural Spatial Mapping"
],
"Manipulate": [
"Translate",
"Zoom",
"Rotate",
"Select"
],
"Position": [
"Fixed (Point)"
],
"Scale": [
"Medium"
],
"2D or 3D": [
"3D"
],
"Year": "2017",
"Bibtex": "'@INPROCEEDINGS{8088455,\n author={Nguyen, Huyen and Ketchell, Sarah and Engelke, Ulrich and Thomas, Bruce and Souza, Paulo de},\n booktitle={2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)}, \n title={[POSTER] HoloBee: Augmented Reality Based Bee Drift Analysis}, \n year={2017},\n volume={},\n number={},\n pages={87-92},\n doi={10.1109/ISMAR-Adjunct.2017.38}}",
"DOI": "10.1109/ISMAR-Adjunct.2017.38",
"Authors": [
"H. Nguyen; S. Ketchell; U. Engelke; B. Thomas; P. d. Souza"
],
"img": "8088455-fig-1-source-large.gif",
"Open Access": "https://www.researchgate.net/publication/320750910_POSTER_HoloBee_Augmented_Reality_Based_Bee_Drift_Analysis"
},
{
"Name": "[Poster] Visualization of solar radiation data in augmented reality",
"Opportunity": [
"Situated Analytics"
],
"Contribution Type": [
"System"
],
"Data Domain": [
"Physical Sciences"
],
"Dataset Types": [
"Spatial"
],
"Dataset Generation": [
"Pre-computation",
"Static"
],
"Presentation": [
"AR",
"Tablet",
"Handheld"
],
"Device": [
"NA"
],
"Input": [
"Mobile Device"
],
"Environment": [
"Outdoors"
],
"Space": [
"Situated"
],
"Embodiment": [
"Exocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Touch",
"Move"
],
"Visualization": [
"3D Matrix/Heatmap"
],
"Abstract/Natural": [
"Natural Spatial Mapping"
],
"Manipulate": [
"Change",
"Navigate"
],
"Position": [
"Fixed (Point)"
],
"Scale": [
"Large"
],
"2D or 3D": [
"3D"
],
"Year": "2014",
"Bibtex": "'@INPROCEEDINGS{6948437,\n author={Beatriz Carmo, Maria and Cláudio, Ana Paula and Ferreira, António and Afonso, Ana Paula and Redweik, Paula and Catita, Cristina and Brito, Miguel Centeno and Pedrosa, José Nunes},\n booktitle={2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)}, \n title={[Poster] Visualization of solar radiation data in augmented reality}, \n year={2014},\n volume={},\n number={},\n pages={255-256},\n doi={10.1109/ISMAR.2014.6948437}}",
"DOI": "10.1109/ISMAR.2014.6948437",
"Authors": [
"M. Beatriz Carmo; A. P. Cláudio; A. Ferreira; A. P. Afonso; P. Redweik; C. Catita; M. C. Brito; J. N. Pedrosa"
],
"img": "6948437-fig-1-source-large.gif",
"Open Access": "na"
},
{
"Name": "3D Volume Visualization and Screen-based Interaction with Dynamic Ray Casting on Autostereoscopic Display",
"Opportunity": [
"Embodied Data Exploration"
],
"Contribution Type": [
"Technique"
],
"Data Domain": [
"Biology",
"Life sciences"
],
"Dataset Types": [
"Spatial"
],
"Dataset Generation": [
"Static",
"Pre-computation"
],
"Presentation": [
"AR",
"Tablet",
"Handheld"
],
"Device": [
"Custom"
],
"Input": [
"Custom Controller"
],
"Environment": [
"Room Scale"
],
"Space": [
"Finite"
],
"Embodiment": [
"Exocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Move"
],
"Visualization": [
"Volume Visualization",
"Anatomical"
],
"Abstract/Natural": [
"Natural Spatial Mapping"
],
"Manipulate": [
"Slice",
"Navigate"
],
"Position": [
"Fixed (Point)"
],
"Scale": [
"Small",
"Medium"
],
"2D or 3D": [
"3D"
],
"Year": "2021",
"Bibtex": "'@INPROCEEDINGS{9585840,\n author={Li, Ruiyang and Huang, Tianqi and Liang, Hanying and Han, Boxuan and Zhang, Xinran and Liao, Hongen},\n booktitle={2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}, \n title={3D Volume Visualization and Screen-based Interaction with Dynamic Ray Casting on Autostereoscopic Display}, \n year={2021},\n volume={},\n number={},\n pages={240-245},\n doi={10.1109/ISMAR-Adjunct54149.2021.00056}}",
"DOI": "10.1109/ISMAR-Adjunct54149.2021.00056",
"Authors": [
"R. Li; T. Huang; H. Liang; B. Han; X. Zhang; H. Liao"
],
"img": "DRC.gif",
"Open Access": "https://www.researchgate.net/profile/Ruiyang_Li9/publication/355895793_3D_Volume_Visualization_and_Screen-based_Interaction_with_Dynamic_Ray_Casting_on_Autostereoscopic_Display/links/61b4b1b5a6251b553aaec468/3D-Volume-Visualization-and-Screen-based-Interaction-with-Dynamic-Ray-Casting-on-Autostereoscopic-Display.pdf"
},
{
"Name": "A Lightweight Tangible 3D Interface for Interactive Visualization of Thin Fiber Structures",
"Opportunity": [
"Embodied Data Exploration"
],
"Contribution Type": [
"Technique"
],
"Data Domain": [
"Biology",
"Life sciences"
],
"Dataset Types": [
"Volumetric data"
],
"Dataset Generation": [
"Static",
"Pre-computation"
],
"Presentation": [
"VR",
"HMD",
"Desktop"
],
"Device": [
"NA"
],
"Input": [
"Custom Controller"
],
"Environment": [
"Room Scale"
],
"Space": [
"Finite"
],
"Embodiment": [
"Egocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Slide",
"Gesture",
"Rotate"
],
"Visualization": [
"Anatomical",
"3D Flow",
"Volume Visualization"
],
"Abstract/Natural": [
"Natural Spatial Mapping"
],
"Manipulate": [
"Zoom",
"Slice",
"Rotate"
],
"Position": [
"Fixed (Point)"
],
"Scale": [
"Medium"
],
"2D or 3D": [
"3D"
],
"Year": "2013",
"Bibtex": "@ARTICLE{6651934,\n author={Jackson, Bret and Lau, Tung Yuen and Schroeder, David and Toussaint, Kimani C. and Keefe, Daniel F.},\n journal={IEEE Transactions on Visualization and Computer Graphics}, \n title={A Lightweight Tangible 3D Interface for Interactive Visualization of Thin Fiber Structures}, \n year={2013},\n volume={19},\n number={12},\n pages={2802-2809},\n doi={10.1109/TVCG.2013.121}}",
"DOI": "10.1109/TVCG.2013.121",
"Authors": [
"B. Jackson; T. Y. Lau; D. Schroeder; K. C. Toussaint; D. F. Keefe"
],
"img": "6651934-fig-3-source-large.gif",
"Open Access": "https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=8ec55b91d38c74ca731fa5efafe6219ff31b5f46"
},
{
"Name": "Affinity Lens: Data-Assisted Affinity Diagramming with Augmented Reality",
"Opportunity": [
"Situated Analytics"
],
"Contribution Type": [
"System"
],
"Data Domain": [
"General"
],
"Dataset Types": [
"Tabular"
],
"Dataset Generation": [
"Dynamic",
"Live-computation",
"Interactive"
],
"Presentation": [
"AR",
"Phone",
"Handheld"
],
"Device": [
"Android Mobile Device"
],
"Input": [
"Mobile Device"
],
"Environment": [
"Wall",
"Room Scale"
],
"Space": [
"Situated"
],
"Embodiment": [
"Exocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Touch",
"Move",
"Brushing"
],
"Visualization": [
"2D Bar Chart",
"2D Line Chart",
"2D Word Cloud"
],
"Abstract/Natural": [
"Abstract"
],
"Manipulate": [
"Translate",
"Arrange",
"Select"
],
"Position": [
"Fixed (Object)"
],
"Scale": [
"Small"
],
"2D or 3D": [
"2D"
],
"Year": "2019",
"Bibtex": "'@inproceedings{10.1145/3290605.3300628,\nauthor = {Subramonyam, Hariharan and Drucker, Steven M. and Adar, Eytan},\ntitle = {Affinity Lens: Data-Assisted Affinity Diagramming with Augmented Reality},\nyear = {2019},\nisbn = {9781450359702},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {https://doi.org/10.1145/3290605.3300628},\ndoi = {10.1145/3290605.3300628},\nabstract = {Despite the availability of software to support Affinity Diagramming (AD), practitioners still largely favor physical sticky-notes. Physical notes are easy to set-up, can be moved around in space and offer flexibility when clustering un-structured data. However, when working with mixed data sources such as surveys, designers often trade off the physicality of notes for analytical power. We propose AffinityLens, a mobile-based augmented reality (AR) application for Data-Assisted Affinity Diagramming (DAAD). Our application provides just-in-time quantitative insights overlaid on physical notes. Affinity Lens uses several different types of AR overlays (called lenses) to help users find specific notes, cluster information, and summarize insights from clusters. Through a formative study of AD users, we developed design principles for data-assisted AD and an initial collection of lenses. Based on our prototype, we find that Affinity Lens supports easy switching between qualitative and quantitative 'views' of data, without surrendering the lightweight benefits of existing AD practice.},\nbooktitle = {Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems},\npages = {1–13},\nnumpages = {13},\nkeywords = {affinity diagramming, augmented reality, visual analytics},\nlocation = {Glasgow, Scotland Uk},\nseries = {CHI '19}\n}",
"DOI": "10.1145/3290605.3300628",
"Authors": [
"Subramonyam",
"Hariharan and Drucker",
"Steven M. and Adar",
"Eytan"
],
"img": "chi2019-398-fig2.jpg",
"Open Access": "https://www.researchgate.net/profile/Hariharan-Subramonyam/publication/330980697_Affinity_Lens_Data-Assisted_Affinity_Diagramming_with_Augmented_Reality/links/5c5e2842299bf1d14cb66ee8/Affinity-Lens-Data-Assisted-Affinity-Diagramming-with-Augmented-Reality.pdf"
},
{
"Name": "Augmented Chironomia for Presenting Data to Remote Audiences",
"Opportunity": [
"Engagement"
],
"Contribution Type": [
"Technique"
],
"Data Domain": [
"General"
],
"Dataset Types": [
"Tabular"
],
"Dataset Generation": [
"Static",
"Pre-computation"
],
"Presentation": [
"Desktop"
],
"Device": [
"NA"
],
"Input": [
"Gesture"
],
"Environment": [
"Room Scale"
],
"Space": [
"Finite"
],
"Embodiment": [
"Egocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Gesture",
"Grab",
"Touch"
],
"Visualization": [
"2D Bar Chart",
"2D Line Chart",
"2D Pie Chart"
],
"Abstract/Natural": [
"Abstract"
],
"Manipulate": [
"Change",
"Filter",
"Translate",
"Select"
],
"Position": [
"Unfixed"
],
"Scale": [
"Medium",
"Small"
],
"2D or 3D": [
"2D"
],
"Year": "2022",
"Bibtex": "@inproceedings{10.1145/3526113.3545614,\nauthor = {Hall, Brian D. and Bartram, Lyn and Brehmer, Matthew},\ntitle = {Augmented Chironomia for Presenting Data to Remote Audiences},\nyear = {2022},\nisbn = {9781450393201},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {https://doi.org/10.1145/3526113.3545614},\ndoi = {10.1145/3526113.3545614},\nabstract = {To facilitate engaging and nuanced conversations around data, we contribute a touchless approach to interacting directly with visualization in remote presentations. We combine dynamic charts overlaid on a presenter’s webcam feed with continuous bimanual hand tracking, demonstrating interactions that highlight and manipulate chart elements appearing in the foreground. These interactions are simultaneously functional and deictic, and some allow for the addition of “rhetorical flourish”, or expressive movement used when speaking about quantities, categories, and time intervals. We evaluated our approach in two studies with professionals who routinely deliver and attend presentations about data. The first study considered the presenter perspective, where 12 participants delivered presentations to a remote audience using a presentation environment incorporating our approach. The second study considered the audience experience of 17 participants who attended presentations supported by our environment. Finally, we reflect on observations from these studies and discuss related implications for engaging remote audiences in conversations about data.},\nbooktitle = {Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology},\narticleno = {18},\nnumpages = {14},\nkeywords = {pointing, gesture, augmented reality, video, Visualization, rhetoric},\nlocation = {Bend, OR, USA},\nseries = {UIST '22}\n}",
"DOI": "10.1145/3526113.3545614",
"Authors": [
"Hall",
"Brian D. and Bartram",
"Lyn and Brehmer",
"Matthew"
],
"img": "uist22-3-fig1.jpg",
"Open Access": "https://dl.acm.org/doi/pdf/10.1145/3526113.3545614"
},
{
"Name": "Augmented Scale Models: Presenting Multivariate Data Around Physical Scale Models in Augmented Reality",
"Opportunity": [
"Situated Analytics"
],
"Contribution Type": [
"Evaluation"
],
"Data Domain": [
"General"
],
"Dataset Types": [
"Tabular"
],
"Dataset Generation": [
"Static",
"Pre-computation"
],
"Presentation": [
"HMD",
"AR"
],
"Device": [
"Hololens"
],
"Input": [
"Gesture"
],
"Environment": [
"Table"
],
"Space": [
"Situated"
],
"Embodiment": [
"Exocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Pinch",
"Touch"
],
"Visualization": [
"2D Line Chart",
"2D Bar Chart",
"2D Scatter Plot"
],
"Abstract/Natural": [
"Abstract"
],
"Manipulate": [
"Select",
"Translate",
"Arrange"
],
"Position": [
"Fixed (Point)",
"Fixed (Object)"
],
"Scale": [
"Small"
],
"2D or 3D": [
"2D"
],
"Year": "2022",
"Bibtex": "'@INPROCEEDINGS{9995479,\n author={Satriadi, Kadek Ananta and Cunningham, Andrew and Thomas, Bruce H. and Drogemuller, Adam and Odi, Antoine and Patel, Niki and Aston, Cathlyn and Smith, Ross T.},\n booktitle={2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)}, \n title={Augmented Scale Models: Presenting Multivariate Data Around Physical Scale Models in Augmented Reality}, \n year={2022},\n volume={},\n number={},\n pages={54-63},\n doi={10.1109/ISMAR55827.2022.00019}}",
"DOI": "10.1109/ISMAR55827.2022.00019",
"Authors": [
"Satriadi",
"Kadek Ananta and Cunningham",
"Andrew and Thomas",
"Bruce H. and Drogemuller",
"Adam and Odi",
"Antoine and Patel",
"Niki and Aston",
"Cathlyn and Smith",
"Ross T."
],
"img": "satri1-532500a054-large.gif",
"Open Access": "https://wearables.unisa.edu.au/uploads/1/2/7/6/127656642/augmented_scale_models_presenting_multivariate_data_around_physical_scale_models_in_augmented_reality.pdf"
},
{
"Name": "Augmenting Static Visualizations with PapARVis Designer",
"Opportunity": [
"Situated Analytics"
],
"Contribution Type": [
"System"
],
"Data Domain": [
"General"
],
"Dataset Types": [
"Tabular",
"Network"
],
"Dataset Generation": [
"Static"
],
"Presentation": [
"AR",
"Phone",
"Handheld"
],
"Device": [
"iPhone 8 Plus"
],
"Input": [
"Mobile Device"
],
"Environment": [
"Room Scale",
"Wall"
],
"Space": [
"Situated"
],
"Embodiment": [
"Exocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Gesture",
"Touch"
],
"Visualization": [
"2D Boxplot",
"2D Line Chart",
"Area Chart",
"2D Sunburst Chart",
"2D Matrix/Heatmap"
],
"Abstract/Natural": [
"Abstract"
],
"Manipulate": [
"Select",
"Filter",
"Pan"
],
"Position": [
"Fixed (Point)"
],
"Scale": [
"Small",
"Medium",
"Large"
],
"2D or 3D": [
"2D"
],
"Year": "2020",
"Bibtex": "'@inproceedings{10.1145/3313831.3376436,\nauthor = {Chen, Zhutian and Tong, Wai and Wang, Qianwen and Bach, Benjamin and Qu, Huamin},\ntitle = {Augmenting Static Visualizations with PapARVis Designer},\nyear = {2020},\nisbn = {9781450367080},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {https://doi.org/10.1145/3313831.3376436},\ndoi = {10.1145/3313831.3376436},\nabstract = {This paper presents an authoring environment for augmenting static visualizations with virtual content in augmented reality.Augmenting static visualizations can leverage the best of both physical and digital worlds, but its creation currently involves different tools and devices, without any means to explicitly design and debug both static and virtual content simultaneously. To address these issues, we design an environment that seamlessly integrates all steps of a design and deployment workflow through its main features: i) an extension to Vega, ii) a preview, and iii) debug hints that facilitate valid combinations of static and augmented content. We inform our design through a design space with four ways to augment static visualizations. We demonstrate the expressiveness of our tool through examples, including books, posters, projections, wall-sized visualizations. A user study shows high user satisfaction of our environment and confirms that participants can create augmented visualizations in an average of 4.63 minutes.},\nbooktitle = {Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},\npages = {1–12},\nnumpages = {12},\nkeywords = {visualization in augmented reality, data visualization authoring, augmented static visualization},\nlocation = {Honolulu, HI, USA},\nseries = {CHI '20}\n}",
"DOI": "10.1145/3411763.3451588",
"Authors": [
"Chen",
"Zhutian and Tong",
"Wai and Wang",
"Qianwen and Bach",
"Benjamin and Qu",
"Huamin"
],
"img": "satri1-532500a054-large.gif",
"Open Access": "https://dl.acm.org/doi/pdf/10.1145/3313831.3376436?casa_token=Z3qTTMd73KsAAAAA:NxavYaC2vDQv5p1zr8eRdC1GT-er9m4pNmO8T_2-NoH_404DCZC4pX1iEIBj2SUDcvxZ5uEqaLT9GQ"
},
{
"Name": "Data Abstraction for Visual and Haptic Representations in Flow Visualization",
"Opportunity": [
"Multi-Sensory Presentation"
],
"Contribution Type": [
"Technique"
],
"Data Domain": [
"Material Science",
"Physical Sciences"
],
"Dataset Types": [
"Fields"
],
"Dataset Generation": [
"Static",
"Pre-computation"
],
"Presentation": [
"HMD",
"VR",
"Haptic Display"
],
"Device": [
"Oculus Quest 2"
],
"Input": [
"Gesture"
],
"Environment": [
"Seated",
"Table"
],
"Space": [
"Infinite"
],
"Embodiment": [
"Egocentric"
],
"Collaboration ": [
"None"
],
"Interaction": [
"Move",
"Grab"
],
"Visualization": [
"Volume Visualization"
],
"Abstract/Natural": [
"Natural Spatial Mapping"
],
"Manipulate": [
"Translate",
"Rotate",
"Scale"
],
"Position": [
"Unfixed"
],
"Scale": [
"Large",
"Small"
],
"2D or 3D": [
"3D"
],
"Year": "2022",
"Bibtex": "'@inproceedings{10.1145/3562939.3565651,\nauthor = {Bhardwaj, Ayush and Kang, Sungjoo and Kim, Jin Ryong},\ntitle = {Data Abstraction for Visual and Haptic Representations in Flow Visualization},\nyear = {2022},\nisbn = {9781450398893},\npublisher = {Association for Computing Machinery},\naddress = {New York, NY, USA},\nurl = {https://doi.org/10.1145/3562939.3565651},\ndoi = {10.1145/3562939.3565651},\nabstract = {This paper presents a new way of data abstraction for visual and haptic representations in immersive analytics using a mid-air haptic display. Visual and haptic abstraction is proposed to transform raw data (wind tunnel data) into another form of data for effective visual and haptic data mapping. Three main features are extracted: (i) Magnitude of Velocity, (ii) Recirculation Region, and (iii) Vorticity. For each feature, visual and haptic abstractions are defined based on data characterization and data reduction. A preliminary study shows a promising direction toward multimodal data interaction in immersive analytics.},\nbooktitle = {Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology},\narticleno = {50},\nnumpages = {2},\nkeywords = {Immersive analytics, haptic, interactive data visualization, data abstraction, data transformation},\nlocation = {Tsukuba, Japan},\nseries = {VRST '22}\n}",
"DOI": "10.1145/3562939.3565651",
"Authors": [
"Bhardwaj",
"Ayush and Kang",
"Sungjoo and Kim",
"Jin Ryong"
],
"img": "vrst22-45-fig2.jpg",
"Open Access": "https://dl.acm.org/doi/pdf/10.1145/3562939.3565651?casa_token=n8oi76IVfuEAAAAA:pI-iElhMpiZSa4_MowsCzas6seCo-ZaFhTalZtKBM5g_Tlt_A7cWWPWzigNil8TnuxwMUtP2jiXZXg"
},
{
"Name": "Data Visceralization: Enabling Deeper Understanding of Data Using Virtual Reality",
"Opportunity": [
"Engagement"
],
"Contribution Type": [
"Design Study"
],
"Data Domain": [
"General",
"Sports"
],
"Dataset Types": [
"Tabular"
],
"Dataset Generation": [
"Static",
"Pre-computation"
],
"Presentation": [
"VR",
"HMD"
],
"Device": [
"NA"
],
"Input": [