Category: Papers
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Presented at AAAI Fall Symposium on Artificial Intelligence and Work
Dr. Luther gave an invited presentation at the AAAI Fall Symposium on Artificial Intelligence and Work on November 8, 2019. The title of his presentation was, “Solving AI’s last-mile problem with crowds and experts.” Dr. Luther’s position paper accompanying the presentation is available online. The abstract for the paper is as follows: Visual search tasks,…
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Article published in Human Computation journal
Our article, Read-Agree-Predict: A crowdsourced approach to discovering relevant primary sources for historians, was published in Human Computation Journal. Congratulations to Crowd Lab Ph.D. alumnus Dr. Nai-Ching Wang, who led the paper, along with co-authors Dr. David Hicks (Education) and Dr. Paul Quigley (History). The abstract for the article is: Historians spend significant time looking…
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Two posters/demos accepted for HCOMP 2019
The Crowd Lab had two posters/demos accepted for AAAI HCOMP 2019! Both of these papers involved substantial contributions from our summer REU interns, who will be attending the conference at Skamania Lodge, Washington, to present their work. It’s QuizTime: A study of online verification practices on Twitter was led by Crowd Lab Ph.D. student Sukrit…
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Paper accepted for HCOMP 2019
The Crowd Lab had a paper, titled, “Second Opinion: Supporting last-mile person identification with crowdsourcing and face recognition,” accepted for the upcoming AAAI Human Computation and Crowdsourcing (HCOMP 2019) conference at the Skamania Lodge in Stevenson, WA, USA, October 28-30, 2019. The conference had a 25% acceptance rate. Ph.D. student and lead author Vikram Mohanty…
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Two papers accepted for CSCW 2019
The Crowd Lab had two papers accepted for the upcoming ACM Computer Supported Cooperative Work and Social Computing (CSCW 2019) conference in Austin, TX, USA, November 9-13, 2019. The conference had a 31% acceptance rate. Ph.D. student Sukrit Venkatagiri will be presenting “GroundTruth: Augmenting expert image geolocation with crowdsourcing and shared representations,” co-authored with Jacob…
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Paper accepted to CHI 2019 HCI + AI workshop
Our paper, “Flud: a hybrid crowd-algorithm approach for visualizing biological networks,” was accepted to the CHI 2019 workshop titled, Where is the Human? Bridging the Gap Between AI and HCI, in Glasgow, Scotland. Congratulations to Crowd Lab co-authors Aditya Bharadwaj (Ph.D. student) and David Gwizdala (undergraduate researcher), as well as Yoonjin Kim and Aditya’s co-advisor,…
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Paper accepted for CHI 2019
Congrats to Crowd Lab Ph.D. student Aditya Bharadwaj for his accepted paper at the upcoming CHI 2019 conference in Glasgow, Scotland, in May. The acceptance rate for this top-tier human-computer interaction conference is 24%. The paper, titled “Critter: Augmenting Creative Work with Dynamic Checklists, Automated Quality Assurance, and Contextual Reviewer Feedback“, was co-authored with colleagues…
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Two papers accepted for IUI 2019
Two members of the Crowd Lab each had a paper accepted for presentation at the upcoming IUI 2019 conference in Los Angeles, CA. The acceptance rate for this conference, which focuses on the intersection of human-computer interaction and artificial intelligence, was 25%. Crowd Lab Ph.D. student Vikram Mohanty will present “Photo Sleuth: Combining Human Expertise…
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Article published in AI Magazine
Dr. Luther recently published a report about the GroupSight Workshop on Human Computation for Image and Video Analysis in AI Magazine. The workshop, held at the HCOMP 2017 conference in Quebec City, Canada, was co-organized by Dr. Luther, Danna Gurari, Genevieve Patterson, and Steve Branson. More information about the workshop can be found in a…
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Two papers accepted for CSCW 2018
Two members of the Crowd Lab each had a paper accepted for presentation at the CSCW 2018 conference in Jersey City, NJ. The acceptance rate for this top-tier conference was 26%. Ph.D. student Nai-Ching Wang presented “Exploring Trade-Offs Between Learning and Productivity in Crowdsourced History” with Virginia Tech professor of education David Hicks and Dr.…