-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathschedule.html
962 lines (877 loc) · 70.7 KB
/
schedule.html
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
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="description" content="">
<meta name="author" content="">
<title>HCOMP 2016: Program</title>
<!-- Bootstrap Core CSS -->
<link href="css/bootstrap.min.css" rel="stylesheet">
<!-- favicon link-->
<link rel="shortcut icon" type="image/png" href="img/favicon.png" />
<!-- Custom CSS -->
<link href="css/landing-page.css" rel="stylesheet">
<!-- Custom Fonts -->
<link href="font-awesome/css/font-awesome.min.css" rel="stylesheet" type="text/css">
<link href="http://fonts.googleapis.com/css?family=Lato:300,400,700,300italic,400italic,700italic" rel="stylesheet" type="text/css">
<!-- HTML5 Shim and Respond.js IE8 support of HTML5 elements and media queries -->
<!-- WARNING: Respond.js doesn't work if you view the page via file:// -->
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js"></script>
<script src="https://oss.maxcdn.com/libs/respond.js/1.4.2/respond.min.js"></script>
<![endif]-->
</head>
<body>
<!-- Navigation -->
<nav class="navbar navbar-default navbar-fixed-top topnav" role="navigation">
<div class="container topnav">
<!-- Brand and toggle get grouped for better mobile display -->
<div class="navbar-header">
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target="#bs-example-navbar-collapse-1">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand topnav" href="index.html">HCOMP 2016</a>
</div>
<!-- Collect the nav links, forms, and other content for toggling -->
<div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
<ul class="nav navbar-nav navbar-right">
<li>
<a href="submit.html">Submit</a>
</li>
<li>
<a href="participate.html">Participate</a>
</li>
<li>
<a href="program.html">Program</a>
</li>
<li>
<a href="attend.html">Attend</a>
</li>
<li>
<a href="industry.html">Industry</a>
</li>
<li>
<a href="organizers.html">Organizers</a>
</li>
<li>
<a href="sponsors.html">Sponsors</a>
</li>
<li>
<a href="past%20meetings.html">Past Meetings</a>
</li>
</ul>
</div>
<!-- /.navbar-collapse -->
</div>
<!-- /.container -->
</nav>
<!-- Header -->
<div class="program-header">
<div class="intro-message"></div>
</div>
<!-- Page Content -->
<div class="container">
<div class="row">
<h2 class="section-head"><span>Schedule</span></h2>
</div>
</div>
<!-- container a-->
<div class="container">
<div class="intro-text">
<div class="row">
<div class="col-md-12">
<div class="intro-paragraph">
<div class="intro-paragraph">
<ul class="list-inline">
<li><i class="icon-font fa fa-link"></i></li>
<li>
<h2 class="section-heading">Related Links</h2>
</ul>
<ul class="lead">
<li>
View the list of all <a class="theme-link" href="papers.html">Accepted Papers</a> and the Full Paper <a class="theme-link" href="http://www.aaai.org/Library/HCOMP/hcomp16contents.php">Proceedings</a>.</li>
<li>
See the <a class="theme-link" href="program.html">Program</a> page for details of the Keynote Talks and David B. Martin memorial.</li>
<li>
See the <a class="theme-link" href="attend.html">Attend</a> page for local and venue information.</li>
</ul>
<h2 class="section-heading">Sunday, October 30, 2016</h2>
<div class="panel panel-default leadtiny">
<table class="table">
<tbody>
<tr>
<td width=20%>9:30am-6:00pm</td>
<td><a class="theme-link" href="dc.html">Doctoral Consortium</a> (by invitation, at UT Austin's iSchool). See the detailed <a class="theme-link" href="dc-agenda.pdf">agenda</a>.</td>
</tr>
<tr>
<td>3:00pm-6:00pm</td>
<td><b>Tutorial</b>: <a class="theme-link" href="tutorial.html">Crowdsourced Data Processing: Industry & Academic Perspectives</a> (at UT Austin's iSchool)</td>
</tr>
<tr>
<td>6:00pm</td>
<td><b>Sponsors Dinner</b> (by invitation)</td>
</tr>
</tbody>
</table>
</div>
<h2 class="section-heading">Monday, October 31, 2016</h2>
<div class="panel panel-default leadtiny">
<table class="table">
<tbody>
<tr>
<td>8:45am-9:00am</td>
<td width=40%><b>Chairs' Welcome</b> (see <a class="theme-link" href="chairs-welcome.pdf">slides</a>)</td>
<td></td>
</tr>
<tr>
<td>9:00am-10:00am
<br>
</td>
<td><b>Keynote Talk: </b><a class="theme-link" href="keynote.html">Iyad Rahwan</a> (MIT)</td>
<td></td>
</tr>
<tr>
<td>
10:00am-10:30am
</td>
<td><b>Break</b></td>
<td></td>
</tr>
<tr>
<td rowspan="4">
10:30am-11:50am
<br>
<br>
<h4>FP1: Conversations & Vision</h4>
<br><i>Session Chair</i>: Jeff Nichols (Google)
</td>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14045" class="theme-link">Click Carving: Segmenting Objects in Video with Point Clicks</a></td>
<td>Suyog Jain and Kristen Grauman (University of Texas at Austin)</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14050" class="theme-link">"Is there anything else I can help you with?": Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent</a></td>
<td>Ting-Hao K. Huang (Carnegie Mellon University), Walter Lasecki (University of Michigan), Amos Azaria (Ariel University) and Jeffrey Bigham (Carnegie Mellon University)</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14049" class="theme-link">CRQA: Crowd-powered Real-time Automated Question Answering System</a></td>
<td>Denis Savenkov and Eugene Agichtein (Emory University)</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14052" class="theme-link">Investigating the Influence of Data Familiarity to Improve the Design of a Crowdsourcing Image Annotation System</a></td>
<td>Danna Gurari (University of Texas at Austin), Mehrnoosh Sameki (Boston University) and Margrit Betke (Boston University)</td>
</tr>
<tr>
<td>11:50am-1:20pm</td>
<td><b>Lunch</b> (see <a class="theme-link" href="attend.html#location">food and dining options</a>)</td>
<td></td>
</tr>
<tr>
<td rowspan="3" width=20%>1:20pm-2:20pm
<br>
<br>
<h4>FP2: Learning to be Efficient</h4>
<br><i>Session Chair</i>: Gianluca Demartini (University of Sheffield)
</td>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14032" class="theme-link">Learning and Feature Selection under Budget Constraints in Crowdsourcing</a></td>
<td>Besmira Nushi, Adish Singla, Andreas Krause and Donald Kossmann (ETH Zurich)</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14033" class="theme-link">Learning to scale payments in crowdsourcing with PropeRBoost</td>
<td>Goran Radanovic and Boi Faltings (Ecole Polytechnique Fédérale de Lausanne)</td>
</tr>
<tr>
<td>
<a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14036" class="theme-link">Efficient techniques for crowdsourced top-k lists</a><br/>
<a href="program.html#awards"><img src="http://humancomputation.com/2014/images/image02.png" alt="" width="" height="" style="border-style: none" />
<b><i>Best Paper Finalist</i></b></a>
</td>
<td>Luca de Alfaro, Vassilis Polychronopoulos and Neoklis Polyzotis (University of California, Santa Cruz)
</td>
</tr>
<tr>
<td>
2:20pm-2:40pm
</td>
<td colspan="2"><b>Encore Talk 1</b> (<a class="theme-link" href="http://faculty.washington.edu/garyhs/">Gary Hsieh</a>, University of Washington)
<br><a class="theme-link" href="http://dl.acm.org/citation.cfm?id=2819936">You Get Who You Pay for: The Impact of Incentives on Participation Bias</a>
<br/>Gary Hsieh and Rafal Kocielnik. In <i>Proceedings CSCW 2016: the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing</i>, pp. 823-835, 2016. <b>Best Paper Award</b>.</p>
</td>
</tr>
<tr>
<td>
2:40pm-3:10pm
</td>
<td><b>Break</b></td>
<td></td>
</tr>
<tr>
<td rowspan="4">
3:10pm-4:30pm
<br>
<br>
<h4>FP3: Education and Incentives</h4>
<br><i>Session Chair</i>: Jeff Bigham (Carnegie Mellon U.)
</td>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14041" class="theme-link">Practical Peer Prediction for Peer Assessment</a></td>
<td>Victor Shnayder and David Parkes (Harvard University)
</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14037" class="theme-link">Predicting Crowd Work Quality under Monetary Interventions</a>
</td>
<td>Ming Yin and Yiling Chen (Harvard University)
</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14027" class="theme-link">Crowdclass: Designing classification-based citizen science learning modules</a>
</td>
<td>Doris Jung-Lin Lee, Joanne Lo, Moonhyok Kim and Eric Paulos (University of California, Berkeley)
</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14053" class="theme-link">Crowdsourcing Accurate and Creative Word Problems and Hints</a>
</td>
<td>Yvonne Chen, Travis Mandel, Yun-En Liu and Zoran Popović (University of Washington)
</td>
</tr>
<tr>
<tr>
<td>
4:30pm-5:10pm
</td>
<td colspan="2"><b>Industry Panel 1: <i>When AI runs the show, what's left for crowd platforms?</i></b>
<ul>
<li><a class="theme-link" href="https://www.linkedin.com/in/pkparitosh">Praveen Paritosh</a>, Senior Research Scientist, Google</li>
<li><a class="theme-link" href="https://www.linkedin.com/in/wjoedeshotel">Joe Deshotel</a>, Director of Community, RideAustin</li>
<li><a class="theme-link" href="https://www.linkedin.com/in/matt-manning-b9821">Matt Manning</a>, Founder, InformationEvolution</li>
<li><i>Moderator</i>: <a class="theme-link" href="https://www.linkedin.com/in/anandpkulkarni">Anand Kulkarni</a>, Co-Founder/Chief Scientist, LeadGenius</li>
</ul>
<p class="main">Recent advances in artificial intelligence owe much of their success to the efforts of thousands of annotators on crowd marketplaces. The success of these platforms may be their own undoing. As more and more human computation tasks become solvable via artificial intelligence, existing systems will need to reinvent themselves to adapt to these new realities or die.
</p>
<p class="main">Real-world crowd labor platforms like Uber have already started replacing human drivers with artificial intelligence systems. In a world where sophisticated deep learning systems can handle most of the activities originally supporting crowd platforms, what work will be left for humans do in labor marketplaces? What choices should platform designers and owners make to protect their relationships with participants and ensure continued liquidity? What responsibility do platforms have to the annotators that made their models possible?</p>
</td>
</tr>
<tr>
<td>
5:10pm-5:50pm
</td>
<td colspan="2"><b>Industry Panel 2: <i>When Are Workers Inputs and When Are They Users?</i></b>
<ul>
<li><a class="theme-link" href="https://www.linkedin.com/in/jay-b-martin-4a0ab055">Jay Martin</a>, Manager, Data Science and Human Computation, Stitchfix</li>
<li><a class="theme-link" href="https://www.linkedin.com/in/palak-shah-67b638">Palak Shah</a>, Digital Innovations Director, National Domestic Workers Alliance / Good Work Code</li>
<li><a class="theme-link" href="https://www.linkedin.com/in/adithya">Adithya Raghunathan</a>, VP Product, Captricity</li>
<li><i>Moderator</i>: <a class="theme-link" href="https://www.linkedin.com/in/marcua">Adam Marcus</a>, CTO, B12 Labs</li>
</ul>
<p class="main">Crowd application designers face multiple choices in how to interact with members of the crowd – choices that affect both the quality of work for an application's customers and the quality of life for individuals carrying out the work. Most discussion has historically sought to apply pressure to platforms to make good choices here. </p>
<p class="main">As human computation systems utilize increasingly large groups around the world for more sophisticated work than before, what choices should application designers make in order to balance the need for effective outcomes with the needs of participants on these platforms? Are these choices at odds with early-stage applications? What should change as a working relationship is increasingly long-term and based on increasingly complex work? What research questions are left to understand best practices in application design from both perspectives?</p>
</td>
</tr>
<tr>
<td>
5:50pm-6:00pm
</td>
<td colspan="2"><b>Announcement of Paper Awards</b>
<p class="main"><i>Presenter</i>: Jeff Bigham (CMU), on behalf of HCOMP 2016's Senior Program Committee</p>
</td>
</tr>
<tr>
<td>
6:00pm- 8:00pm
</td>
<td colspan="2"><b>Opening Reception (held at venue)</b>
<p class="main">Creative <a class="theme-link" href="https://en.wikipedia.org/wiki/Halloween">Halloween</a> costumes are encouraged (but completely optional). Austin's <a class="theme-link" href="http://www.lucyindisguise.com/Info/ContactUs.html">Lucy in Disguise</a> offers a great local selection to choose from.</p>
</td>
<td></td>
</tr>
</tbody>
</table>
</div>
<h2 class="section-heading">Tuesday, November 1, 2016</h2>
<div class="panel panel-default leadtiny">
<table class="table">
<tbody>
<tr>
<td width=20%>9:00am-10:00am</td>
<td colspan="2"><b>Keynote Talk: </b><a class="theme-link" href="keynote.html#goel">Aashish Goel</a> (Stanford)</td>
<td></td>
</tr>
<tr>
<td>
10:00am-10:30am
</td>
<td width=40%><b>Break</b></td>
<td width=40%></td>
</tr>
<tr>
<td rowspan="4" width=20%>10:30-11:50am
<br>
<br>
<h4>FP4: Collecting Data You Want</h4>
<br><i>Session Chair</i>: Dan Weld (U. of Washington)
</td>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14039" class="theme-link">Modeling Task Complexity in Crowdsourcing</a>
</td>
<td>Jie Yang (Delft University of Technology), Judith Redi (Delft University of Technology), Gianluca Demartini (University of Sheffield) and Alessandro Bozzon (Delft University of Technology)
</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14029" class="theme-link">Studying the Effects of Task Notification Policies on Participation and Outcomes in On-the-go Crowdsourcing</a></td>
<td>Yongsung Kim, Emily Harburg, Shana Azria, Aaron Shaw, Elizabeth Gerber, Darren Gergle and Haoqi Zhang (Northwestern University)</td>
</tr>
<tr>
<td>
<a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14030" class="theme-link">Extending Workers' Attention Span Through Dummy Events</a><br/>
<a href="program.html#awards"><img src="http://humancomputation.com/2014/images/image02.png" alt="" width="" height="" style="border-style: none" />
<b><i>Best Paper Finalist</i></b></a>
</td>
<td>Avshalom Elmalech (Bar-Ilan University), David Sarne (Bar-Ilan University), Esther David (Ashkelon College) and Chen Hajaj (Bar-Ilan University)</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14048" class="theme-link">Much Ado About Time: Exhaustive Annotation of Temporal Data</a></td>
<td>Gunnar Sigurdsson (Carnegie Mellon University), Olga Russakovsky (Carnegie Mellon University), Ivan Laptev (INRIA, France), Ali Farhadi (University of Washington) and Abhinav Gupta (Carnegie Mellon University)</td>
</tr>
<tr>
<td>
11:50am-1:00pm
</td>
<td><b>Lunch</b> (see <a class="theme-link" href="attend.html#location">food and dining options</a>)</td>
<td></td>
</tr>
<tr>
<td>
1:00pm-1:20pm
</td>
<td colspan="2"><b>Platinum Sponsor Talk</b> (<a class="theme-link" href="http://www.mattbencke.com/bio/">Matt Bencke</a>, Co-Founder & CEO, <a class="theme-link" href="https://spare5.com">Spare5</a>)
<br><a class="theme-link" href="https://docs.google.com/presentation/d/1EATir4m2nSpSpUUzgKZkvdb9reAhmpqwIIEd9j6TLgk/edit?usp=sharing">Tips for Sourcing Better Training Data: Takeaways from contributing to the next generation of computer vision training data</a>
<ul>
<li>
<p class="small"><b>Abstract</b>. Spare5, a Training Data as a Service (TDaaS) provider, has partnered with COCO Consortium researchers to build the next generation of the COCO image recognition, segmentation, and captioning dataset for computer vision. We'll review the challenges in sourcing accurate annotations for the dataset, as well as how they were overcome with iterations in task design. Mr. Bencke will share learnings from the project and explain how they can be applied by attendees in similar training data initiatives.</p>
</li>
<li>
<p class="small"><b>Speaker Bio</b>. Matt Bencke is the co-founder and CEO of Spare5, the world’s leading provider of training data for computer vision and natural language that enables machine learning and AI teams to train, validate, and test their algorithms and models.</p>
</li>
</ul>
</td>
</tr>
<tr>
<td rowspan="4" width=20%>1:20pm-2:40pm
<br>
<br>
<h4>FP5: Task Design for Better Crowdsourcing</h4>
<br><i>Session Chair</i>: Praveen Paritosh (Google)
</td>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14040" class="theme-link">Crowdsourcing Relevance Assessments: The Unexpected Benefits of Limiting the Time to Judge
</td>
<td>Eddy Maddalena (University of Udine), Marco Basaldella (University of Udine), Dario De Nart (University of Udine), Dante Degl'Innocenti (University of Udine), Stefano Mizzaro (University of Udine) and Gianluca Demartini (University of Sheffield)</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14024" class="theme-link">MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy</a></td>
<td>Ryan Drapeau, Lydia B. Chilton, Jonathan Bragg and Daniel S. Weld (University of Washington)</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14043" class="theme-link">Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments</a><br/>
<a href="program.html#awards"><img src="http://humancomputation.com/2014/images/image00.png" alt="" width="" height="50" style="border-style: none" />
<b><i>Best Paper Award</i></b></a>
</td>
<td>Tyler Mcdonnell (University of Texas at Austin), Matthew Lease (University of Texas at Austin), Mucahid Kutlu (Qatar University) and Tamer Elsayed (Qatar University)</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14051" class="theme-link">Interactive Consensus Agreement Games For Labeling Images</a></td>
<td>Paul Upchurch, Daniel Sedra, Andrew Mullen, Haym Hirsh and Kavita Bala (Cornell University)</td>
</tr>
<tr>
<td>
2:40-3:00pm
</td>
<td colspan="2"><b>Encore Talk 2</b>: (<a class="theme-link" href="http://shomir.net">Shomir Wilson</a>, University of Cincinnati)
<br><a class="theme-link" href="http://www2016.net/proceedings/proceedings/p133.pdf">Crowdsourcing annotations of websites' privacy policies: Can it really work?</a>
<br/>Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman Sadeh, Fei Liu, Noah Smith and Frederick Liu. In Proceedings of the 25th International World Wide Web (WWW) Conference, pp. 133-143, 2016. <b>Best Paper Finalist</b>.</li>
</td>
</tr>
<tr>
<td>
3:00pm-3:30pm
</td>
<td><b>Poster/Demo Madness 1</b></td>
<td></td>
</tr>
<tr>
<td rowspan="5">
3:30pm-4:50pm
</td>
<td colspan="2"><b>Poster/Demo Session 1</b>
</td>
</tr>
<tr>
<td colspan="2"><i><b>Demonstrations</b></i>
<p class="small">Creating Interactive Behaviors in Early Sketch by Recording and Remixing Crowd Demonstrations</p>
<ul class="nobullet-s">
<li>Sang Won Lee, Yi Wei Yang, Shiyan Yan, Yujin Zhang, Isabelle Wong, Zhengxi Tan, Miles McGruder, Christopher Homan, Walter S. Lasecki</li>
</ul>
<p class="small">Integrating Citizen Science with Online Learning to Ask Better Questions</p>
<ul class="nobullet-s">
<li>Vineet Pandey, Scott Klemmer, Amnon Amir, Justine Debelius, Embriette R. Hyde, Tomasz Kosciolek, Rob Knight</li>
</ul>
<p class="small">Ashwin: Plug-and-Play System for Machine-Human Image Annotation</p>
<ul class="nobullet-s">
<li>Anand Sriraman, Mandar Kulkarni, Rahul Kumar, Kanika Kalra, Purushotam Radadia, Shirish Karande</li>
</ul>
</td>
</tr>
<tr>
<td colspan="2"><i><b>Works-in-Progress Posters</b></i>
<p class="small">A Markov Chain Based Ensemble Method for Crowdsourced Clustering</p>
<ul class="nobullet-s">
<li>Sujoy Chatterjee, Enakshi Kundu, Anirban Mukhopadhyay</li>
</ul>
<p class="small">Consensus of Dependent Opinions</p>
<ul class="nobullet-s">
<li>Sujoy Chatterjee, Anirban Mukhopadhyay, Malay Bhattacharyya</li>
</ul>
<p class="small">Pairwise, Magnitude, or Stars: What's the Best Way for Crowds to Rate?</p>
<ul class="nobullet-s">
<li>Alessandro Checco, Gianluca Demartini</li>
</ul>
<p class="small">Toward Crowdsourced User Studies for Software Evaluation</p>
<ul class="nobullet-s">
<li>Florian Daniel, Pavel Kucherbaev</li>
</ul>
<p class="small">Feedback and Timing in a Crowdsourcing Game</p>
<ul class="nobullet-s">
<li>Gili Freedman, Sukdith Punjasthitkul, Max Seidman, Mary Flanagan</li>
</ul>
<p class="small">A GWAP Approach to Analyzing Informal Algorithm for Collaborative Group Problem Solving</p>
<ul class="nobullet-s">
<li>Tatsuki Furukawa, Hajime Mizuyama, Tomomi Nonaka</li>
</ul>
<p class="small">Learning Phrasal Lexicons for Robotic Commands Using Crowdsourcing</p>
<ul class="nobullet-s">
<li>Njie Hu, Jean Oh, Anatole Gershman</li>
</ul>
<p class="small">Redesigning Product X as an Inversion-Problem Game</p>
<ul class="nobullet-s">
<li>Yu Kagoshima, Hajime Mizuyama, Tomomi Nonaka</li>
</ul>
<p class="small">Extremest Extraction: Push-Button Learning of Novel Events</p>
<ul class="nobullet-s">
<li>Christopher Lin, Mausam, Daniel Weld</li>
</ul>
<p class="small">The Effect of Class Imbalance and Order on Crowdsourced Relevance Judgments</p>
<ul class="nobullet-s">
<li>Rehab K. Qarout, Alessandro Checco, Gianluca Demartini</li>
</ul>
<p class="small">Feasibility of Post-Editing Speech Transcriptions with a Mismatched Crowd</p>
<ul class="nobullet-s">
<li>Purushotam Radadia, Shirish Karande</li>
</ul>
<p class="small">Video Summarization using Causality Graphs</p>
<ul class="nobullet-s">
<li>Shay Sheinfeld, Yotam Gingold, Ariel Shamir</li>
</ul>
<p class="small">Crowdsourcing Information Extraction for Biomedical Systematic Reviews</p>
<ul class="nobullet-s">
<li>Yalin Sun, Pengxiang Cheng, Shengwei Wang, Hao Lyu, Matthew Lease, Iain Marshall, Byron C. Wallace</li>
</ul>
</p>
</td>
</tr>
<tr>
<td colspan="2"><i><b>Encore Track Posters</b></i>
<p class="small">
<p class="small">Hybrid Human-Machine Information Systems: Challenges and Opportunities </p>
<ul class="nobullet-s">
<li>Gianluca Demartini</li>
</ul>
<p class="small">Scheduling Human Intelligence Tasks in Multi-Tenant Crowd-Powered Systems </p>
<ul class="nobullet-s">
<li>Djellel Eddine Difallah, Gianluca Demartini, Philippe Cudre-Mauroux</li>
</ul>
<p class="small">Learning to Incentivize: Eliciting Effort via Output Agreement </p>
<ul class="nobullet-s">
<li>Yang Liu, Yiling Chen</li>
</ul>
<p class="small">On The Relation between Assessor’s Agreement and Accuracy in Gamified Relevance Assessment </p>
<ul class="nobullet-s">
<li>Olga Megorskaya, Vladimir Kukushkin, Pavel Serdyukov</li>
</ul>
</p>
</td>
</tr>
<tr>
<td colspan="2"><i><b>Doctoral Consortium Posters</b></i>
<p class="small">
<p class="small">Crowd-Powered Conversational Agents</p>
<ul class="nobullet-s">
<li>Ting-Hao Huang</li>
</ul>
<p class="small">Crowdsourcing to Reconnect: Enabling Online Contributions and Social Interactions for Older Adults</p>
<ul class="nobullet-s">
<li>Francisco Ibarra</li>
</ul>
<p class="small">Application of the Dual-Process Theory to Debias Forecasts in Prediction Markets</p>
<ul class="nobullet-s">
<li>Simon Kloker</li>
</ul>
<p class="small">Understanding Online Self-Organization and Distributed Problem Solving in Disaster</p>
<ul class="nobullet-s">
<li>Marina Kogan</li>
</ul>
<p class="small">Quantifying, Understanding, and Mitigating Crowd Work Bias</p>
<ul class="nobullet-s">
<li>Jacob Thebault-Spieker</li>
</ul>
<p class="small">Incentive Engineering in Crowdsourcing Systems</p>
<ul class="nobullet-s">
<li>Nhat Truong</li>
</ul>
</p>
</td>
</tr>
<tr>
<td>
5:00pm-6:00pm
</td>
<td colspan="2"><b>Remembrance</b>: <a class="theme-link" href="martin.html">David B. Martin and his Ethnographic Studies of Crowd Workers</a>
<br/><i>Presenter</i>: Benjamin Hanrahan (Penn State University)</td>
</tr>
<tr>
<td>6:30pm</td>
<td colspan="2">Buses depart for Offsite Reception</td>
</tr>
<tr>
<td>7:00pm-10:00pm</td>
<td colspan="2"><a class="theme-link" href="attend.html#maggiemae">Offsite Reception at Maggie Mae's on Sixth Street</a></td>
</tr>
</tbody>
</table>
</div>
<h2 class="section-heading">Wednesday, November 2, 2016 </h2>
<div class="panel panel-default leadtiny">
<table class="table">
<tbody>
<tr>
<td width=20%>9:00am-10:00am</td>
<td colspan="2"><b>Keynote Talk: </b><a class="theme-link" href="keynote.html#schneider">Nathan Schneider</a> (U. of Colorado, Boulder)</td>
<td></td>
</tr>
<tr>
<td width=20%>10:00am-10:30am</td>
<td colspan="2"><b>Break</b></td>
<td></td>
</tr>
<tr>
<td rowspan="4">
10:30am-11:50am
<br>
<br>
<h4>FP6: Crowdsourcing Subjective Things</h4>
<br><i>Session Chair</i>: Jaime Teevan (Microsoft Research)
</td>
<td width=40%><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14025" class="theme-link">Learning Privacy Expectations by Crowdsourcing Contextual Informational Norms</td>
<td>Yan Shvartzshnaider (New York University), Schrasing Tong (Princeton University) Thomas Wies (New York University), Paula Kift (New York University), Helen Nissenbaum (New York University), Lakshminarayanan Subramanian (New York University), and Prateek Mittal (Princeton University)
</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14031" class="theme-link">Leveraging the Contributions of the Casual Majority to Identify Appealing Web Content
</a></td>
<td>Tad Hogg (Institute for Molecular Manufacturing, USA) and Kristina Lerman (University of Southern California)
</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14042" class="theme-link">Evaluating Task-Dependent Taxonomies for Navigation</a>
</td>
<td>Yuyin Sun (University of Washington), Adish Singla (ETH Zurich), Tori Yan (University of Washington), Andreas Krause (ETH Zurich) and Dieter Fox (University of Washington)
</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14034" class="theme-link">Validating the Quality of Crowdsourced Psychometric Personality Test Items</a>
</td>
<td>Bao S. Loe (University of Cambridge), Francis Smart (Michigan State University), Lenka Fiřtová (University of Economics, Prague), Corinna Brauner (University of Münster), Laura Lüneborg (University of Bonn) and David Stillwell (University of Cambridge)
</td>
</tr>
<tr>
<td>11:50am-1:10pm</td>
<td><b>Lunch</b> (see <a class="theme-link" href="attend.html#location">food and dining options</a>)</td>
<td></td>
</tr>
<tr>
<td>
1:10pm-1:30pm
</td>
<td colspan="2"><b>Encore Talk 3</b>: (<a class="theme-link" href="http://joseph.nlpweb.org">Joseph Chang</a>, CMU)
<br><a class="theme-link" href="http://dl.acm.org/citation.cfm?id=2858411">Alloy: Clustering with Crowds and Computation</a>
<br/>Joseph Chee Chang, Aniket Kittur, and Nathan Hahn. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 3180-3191. <b>Best Paper Honorable Mention</b>.
</td>
</tr>
<tr>
<td>
1:30pm-2:00pm
</td>
<td><b>Poster/Demo Madness 2</b></td>
<td></td>
</tr>
<tr>
<td rowspan="5">2:00pm-3:20pm</td>
<td><b>Poster/Demo Session 2</b></td>
<td></td>
</tr>
<tr>
<td colspan="2">
<i><b>Demonstrations</b></i>
<p class="small">MmmTurkey: A Crowdsourcing Framework for Deploying Tasks and Recording Worker Behavior on Amazon Mechanical Turk </p>
<ul class="nobullet-s">
<li>Brandon Dang, Miles Hutson, Matthew Lease</li>
</ul>
<p class="small">High Dimensional Human Guided Machine Learning </p>
<ul class="nobullet-s">
<li>Eric Holloway, Robert Marks II</li>
</ul>
<p class="small">Reprowd: Crowdsourced Data Processing Made Reproducible </p>
<ul class="nobullet-s">
<li>Ruochen Jiang, Jiannan Wang </li>
</ul>
</td>
</tr>
<tr>
<td colspan="2">
<i><b>Works-in-Progress Posters</b></i>
<p class="small">Feature Based Task Recommendation in Crowdsourcing with Implicit Observations</p>
<ul class="nobullet-s">
<li>Habibur Rahman, Lucas Joppa, Senjuti Basu Roy</li>
</ul>
<p class="small">Route Market: A Prediction-Market-Based Route Recommendation Service</p>
<ul class="nobullet-s">
<li>Keisuke Beppu, Hajime Mizuyama, Tomomi Nonaka</li>
</ul>
<p class="small">Incentives for Truthful and Informative Post-Publication Peer Review</p>
<ul class="nobullet-s">
<li>Luca de Alfaro, Marco Faella</li>
</ul>
<p class="small">Incentives for Truthful Evaluations</p>
<ul class="nobullet-s">
<li>Luca de Alfaro, Marco Faella, Vassilis Polychronopoulos, and Michael Shavlovsky</li>
</ul>
<p class="small">Visual Questions: Predicting If a Crowd Will (Dis)Agree on the Answer</p>
<ul class="nobullet-s">
<li>Danna Gurari, Kristen Grauman</li>
</ul>
<p class="small">Group Rotation Type Crowdsourcing</p>
<ul class="nobullet-s">
<li>Katsumi Kumai (University of Tsukuba), Jianwei Zhang (Tsukuba University of Technology), Yuhki Shiraishi, Atsuyuki Morishima, Hiroyuki Kitagawa</li>
</ul>
<p class="small">Qualitative Framing of Financial Incentives – A Case of Emotion Annotation</p>
<ul class="nobullet-s">
<li>Sephora Madjiheurem, Valentina Sintsova, Pearl Pu</li>
</ul>
<p class="small">Dynamic Allocation of Crowd Contributions for Sentiment Analysis during the 2016 U.S. Presidential Election</p>
<ul class="nobullet-s">
<li>Mehrnoosh Sameki, Mattia Gentil, Kate K. Mays, Lei Guo, Margrit Betke</li>
</ul>
<p class="small">Exploring Required Work and Progress Feedback in Crowdsourced Mapping</p>
<ul class="nobullet-s">
<li>Sofia Eleni Spatharioti, Becca Govoni, Jennifer Carrera, Sara Wylie, Seth Cooper</li>
</ul>
<p class="small">CoFE: A Collaborative Feature Engineering Framework for Data Science</p>
<ul class="nobullet-s">
<li>Yoshihiko Suhara, Hideki Awashima, Hidekazu Oiwa, Alex Pentland</li>
</ul>
<p class="small">Incentive Engineering Framework for Crowdsourcing Systems</p>
<ul class="nobullet-s">
<li>Nhat V.Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings</li>
</ul>
<p class="small">Does Communication Help People Coordinate?</p>
<ul class="nobullet-s">
<li>Yevgeniy Vorobeychik, Zlatko Joveski, Sixie Yu</li>
</td>
</tr>
<tr>
<td colspan="2">
</ul>
<i><b>Encore Track Posters</b></i>
<p class="small">Predicting the Quality of User Contributions via LSTMs </p>
<ul class="nobullet-s">
<li>Rakshit Agrawal, Luca De Alfaro</li>
</ul>
<p class="small">Toward a Learning Science for Complex Crowdsourcing Tasks </p>
<ul class="nobullet-s">
<li>Shayan Doroudi, Ece Kamar, Emma Brunskill, Eric Horvitz </li>
</ul>
<p class="small">Crowd in C[loud] : Audience Participation Music with Online Dating Metaphor Using Cloud Service </p>
<ul class="nobullet-s">
<li>Sang Won Lee, Antonio Deusany De Carvalho Junior, Georg Essl</li>
</ul>
<p class="small">Comparative Methods and Analysis for Creating High-Quality Question Sets from Crowdsourced Data </p>
<ul class="nobullet-s">
<li>Sarah Luger, Jeff Bowles</li>
</ul>
</td>
</tr>
<tr>
<td colspan="2">
<i><b>Doctoral Consortium Posters</b></i>
<p class="small">Understanding User Action and Behavior on Collaborative Platforms Using Machine Learning</p>
<ul class="nobullet-s">
<li>Rakshit Agrawal</li>
</ul>
<p class="small">Self-Improving Crowdsourcing</p>
<ul class="nobullet-s">
<li>Jonathan Bragg</li>
</ul>
<p class="small">How Crowdsensing and Crowdsourcing Change Collaborative Planning: Three explorations in transportation</p>
<ul class="nobullet-s">
<li>Greg Griffin</li>
</ul>
<p class="small">Integrating Asynchronous Interaction into Real-Time Collaboration for Crowdsourced Creation</p>
<ul class="nobullet-s">
<li>Sang Won Lee</li>
</ul>
<p class="small">Complex Systems and Society: What Are the Barriers to Automated Text Summarization of an Online Policy Deliberation?</p>
<ul class="nobullet-s">
<li>Brian McInnis</li>
</ul>
<p class="small">Researching and Learning History via Crowdsourcing</p>
<ul class="nobullet-s">
<li>Nai-Ching Wang</li>
</ul>
</td>
</tr>
<tr>
<td rowspan="4">
3:30pm-5:00pm
<br>
<br>
<h4>FP7: Quality Models</h4>
<br><i>Session Chair</i>: Adam Kalai (Microsoft Research New England)
</td>
<td width=40%><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14028" class="theme-link">Probabilistic Modeling for Crowdsourcing Partially-Subjective Ratings</a></td>
<td>An T. Nguyen (University of Texas at Austin), Matthew Halpern (University of Texas at Austin), Byron C. Wallace (Northeastern University) and Matthew Lease (University of Texas at Austin)
</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14022" class="theme-link">State Detection using Adaptive Human Sensor Sampling</a></td>
<td>Ioannis Boutsis (Athens University of Economics and Business), Vana Kalogeraki (Athens University of Economics and Business) and Dimitrios Gunopulos (University of Athens)</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14026" class="theme-link">Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing</a>
</td>
<td>Prakhar Ojha and Partha Talukdar (Indian Institute of Science)
</td>
</tr>
<tr>
<td><a href="http://aaai.org/ocs/index.php/HCOMP/HCOMP16/paper/view/14047" class="theme-link">Understanding Crowdsourcing Workflow: Modeling and Optimizing Iterative and Parallel Processes</a>
</td>
<td>Shinsuke Goto, Toru Ishida and Donghui Lin (Kyoto University)
</td>
</tr>
<tr>
<td>
5:00pm-6:00pm</td>
<td>
<b>Business Meeting</b> (see <a class="theme-link" href="Business-Meeting-Slides.pdf">slides</a>)
</td>
<td></td>
</tr>
<tr>
<td>
6:00pm-?</td>
<td colspan="2">
<a class="theme-link" href="crowdcamp.html">CrowdCamp</a> Social Evening (CrowdCamp participants only)
</td>
<td></td>
</tr>
</tbody>
</table>
</div>
<h2 class="section-heading">Thursday, November 3, 2016 </h2>
<div class="panel panel-default leadtiny">
<table class="table">
<tbody>
<tr>
<td width=20%>9:00am-6:00pm</td>
<td colspan="2"><b>Workshops</b>
<ul>
<li><a class="theme-link" href="crowdcamp.html">CrowdCamp</a></li>
<li><a class="theme-link" href="groupsight.html">GroupSight: Human Computation for Image and Video Analysis</a></li>
<li><a class="theme-link" href="math-foundations.html">Mathematical Foundations of Human Computation</a></li>
</ul>
</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- container a-->
<!-- Footer -->
<footer>
<div class="container">
<h2 class="section-head"><span><a class="theme-link-org" href="sponsors.html">Conference Sponsors</a></span></h2>
<div class="row">
<div class="intro-text">
<div class="intro-paragraph">
<div class="lead col-md-6">
<p style="text-align: center;"><font size="+3"><b>Platinum</b></font>
<br/>
<a class="theme-link" href="https://spare5.com"><img src="img/sponsors/spare5.png" alt="Spare 5" width="" height="50" style="border-style: none" /></a>
</p>
</div>
<div class="lead col-md-6">
<p style="text-align: center;"><font size="+3"><b>Gold</b></font>
<br/>
<a class="theme-link" href="http://www.microsoft.com"><img src="img/sponsors/microsoft.png" alt="Microsoft" width="" height="50" style="border-style: none" /></a>
<br/>
<br/>
<a class="theme-link" href="http://www.stitchfix.com"><img src="img/sponsors/stitchfix.png" alt="STITCH FIX - YOUR PARTNER IN PERSONAL STYLE" width="" height="50" style="border-style: none" /></a>
</p>
</div>
<div class="lead col-md-6">
<p style="text-align: center;"><font size="+3"><b>Silver</b></font>
<br/>
<br/>
<a class="theme-link" href="https://alegion.com"><img src="img/sponsors/alegion.png" alt="Alegion Crowdsourcing Automation Platform" width="" height="40" style="border-style: none" /></a>
<br/>
<br/>
<a class="theme-link" href="http://informationevolution.com"><img src="img/sponsors/ie.png" alt="INFORMATION EVOLUTION - RELIABLE, EXPERIENCED, AFFORDABLE HUMAN BANDWIDTH" width="250" height="" style="border-style: none" /></a>
<br/>
<br/>
<a class="theme-link" href="http://www.google.com"><img src="img/sponsors/google.png" alt="Google" width="190" height="" style="border-style: none" /></a>
<br/>
<br/>
<a class="theme-link" href="https://microworkers.com"><img src="img/sponsors/microworkers.png" alt="Microworkers" width="200" height="" style="border-style: none" /></a>
<br/>
<br/>
<a class="theme-link" href="http://www.ischool.utexas.edu"><img src="img/sponsors/ut-ischool.jpg" alt="The School of Information at the University of Texas at Austin" width="250" height="" style="border-style: none" /></a>
</p>
</div>
<div class="lead col-md-6">
<p style="text-align: center;"><font size="+3"><b>Bronze</b></font>
<br/>
<br/>
<a class="theme-link" href="https://www.asist.org/publications/jasist/"><img src="img/sponsors/jasist.png" alt="ournal of the Association for Information Science and Technology (JASIST)" width="200" height="" style="border-style: none" /></a>
</p>
</div>
</div>
</div>
</div>
<div class="row intro-text">
<div class="col-lg-12">
<p class="copyright text-muted">Copyright © HCOMP 2016. All Rights Reserved | Designed by <a class="theme-link-org" href="https://www.linkedin.com/in/yangzhangux">Yang Zhang</a></p>
</div>
</div>
</div>
</footer>
<!-- jQuery -->
<script src="js/jquery.js"></script>
<!-- Bootstrap Core JavaScript -->
<script src="js/bootstrap.min.js"></script>
</body>
</html>