cid:image008.png@01D10810.C2D01210
Hello TUX!
A reminder that tomorrow we will have a member presentation by Dr. Edith Law. The details of the talk are below. *Please note that her talk will be at the U of T DGP Lab at the Bahen Centre, room 5166 on the 5th floor*.
Ali, Daniel, and Tovi
Tuesday, February 23 at 12:30pm, Tux Proudly Presents: Dr. Edith Law
*Bahen Centre ***room 5166, *University of Toronto @ **40 St. George St* https://www.google.ca/maps/place/Bahen+Centre+for+Information+Technology/@43.6595981,-79.3970185,15z/data=%214m6%211m3%213m2%211s0x0:0x6459384147b4b67b%212sBahen+Centre+for+Information+Technology%213m1%211s0x0:0x6459384147b4b67b*.*
Lunch reception begins at 12:30pm. Presentation begins at 1pm.
*Edith Law: *
*Designing for Curiosity*
Curiosity is a well-studied phenomenon in the field of psychology, and a major motivational driver in education, commerce and science. At the core, curiosity is about the acquisition of information driven by the desire “to know, to see, or to experience.” For example, one contemporary psychological model of curiosity — Loewenstein’s information gap theory — says that people are curious when they are made aware of the gap in their knowledge, and engage in exploratory, information-seeking behavior in order to complete their knowledge and resolve uncertainty. The theory predicts that curiosity is heightened when the information gap is small but not absent, that curiosity can be induced by violated expectations, exacerbated when one is asked to make guesses about some unknown or missing information, and sustained only if there is timely release of information that satisfies the curiosity. The key insight for HCI research is that similar to other types of rewards, e.g., money, points and badges, information can be treated as a type of currency for motivation, and that one can design interfaces to induce and maintain curiosity in order to direct the behavior of the participants.
In this talk, I will first give an overview of the key ideas in information-theoretic models of curiosity, and how these ideas manifest themselves historically in various lines of research in human-computer interaction. Next, I will present results from a recent study where we designed curiosity-inducing interfaces and studied them in the context of a crowdsourcing task on Amazon Mechanical Turk. Experimental results show that our curiosity interventions improve worker retention without degrading performance, and the magnitude of the effects are influenced by both personal characteristics of the worker and the nature of the task. Finally, I will end the talk by describing several on-going projects that continue to investigate principled ways to harness curiosity through design.
*Biography*
Edith Law is an assistant professor at the David R. Cheriton School of Computer Science at University of Waterloo. Her research focuses on studying incentive mechanisms in crowdsourcing systems and developing new ways to combine humans and machines to address problems in science and medicine. Previously, she was a CRCS postdoctoral fellow at the School of Engineering and Applied Sciences at Harvard University. She graduated from Carnegie Mellon University in 2012 with Ph.D. in Machine Learning, M.Sc. in Computer Science at McGill University, and B.Sc. in Computer Science at University of British Columbia. She was a Microsoft Graduate Research Fellow, co-authored the book “Human Computation” in the Morgan & Claypool Synthesis Lectures on Artificial Intelligence and Machine Learning, co-organized the Human Computation Workshop (HCOMP) Series at KDD and AAAI from 2009 to 2012, and helped create the first AAAI Conference on Human Computation and Crowdsourcing. Her work on games with a purpose and crowdsourcing has won several best paper honourable mentions at CHI.
**
*OUR SPONSORS:*
*TUX is made possible by the support of our sponsors, Steven Sanders, Autodesk, *
*University of Toronto Department of Computer Science, and MaRS*.
*/About MaRS:/*/MaRS is the one of the world’s largest urban innovation hubs—a place for collaboration, creativity and entrepreneurship. Located in the heart of Toronto’s research district, MaRS provides the space, training, talent and networks required to commercialize important discoveries and launch and grow Canadian startups./
A reminder of today’s talk by Edith Law. We look forward to seeing you here! Lunch @ 12:30, talk @ 1:00pm.
-Daniel
From: Tux-announce [mailto:tux-announce-bounces@dgp.toronto.edu] On Behalf Of Ali Mazalek Sent: Monday, February 22, 2016 4:41 PM To: TUX Announce tux-announce@dgp.toronto.edu Subject: [Tux] TUX Reminder: Edith Law @ Bahen Centre UofT Tomorrow
[cid:part1.06030304.03050007@ryerson.ca]
[cid:image008.png@01D10810.C2D01210]
[cid:part3.05000004.05010808@ryerson.ca]
Hello TUX!
A reminder that tomorrow we will have a member presentation by Dr. Edith Law. The details of the talk are below. Please note that her talk will be at the U of T DGP Lab at the Bahen Centre, room 5166 on the 5th floor.
Ali, Daniel, and Tovi Tuesday, February 23 at 12:30pm, Tux Proudly Presents: Dr. Edith Law Bahen Centre room 5166, University of Toronto @ 40 St. George Sthttps://www.google.ca/maps/place/Bahen+Centre+for+Information+Technology/@43.6595981,-79.3970185,15z/data=%214m6%211m3%213m2%211s0x0:0x6459384147b4b67b%212sBahen+Centre+for+Information+Technology%213m1%211s0x0:0x6459384147b4b67b. Lunch reception begins at 12:30pm. Presentation begins at 1pm.
[cid:part5.03040305.06060400@ryerson.ca]
Edith Law: Designing for Curiosity
Curiosity is a well-studied phenomenon in the field of psychology, and a major motivational driver in education, commerce and science. At the core, curiosity is about the acquisition of information driven by the desire “to know, to see, or to experience.” For example, one contemporary psychological model of curiosity — Loewenstein’s information gap theory — says that people are curious when they are made aware of the gap in their knowledge, and engage in exploratory, information-seeking behavior in order to complete their knowledge and resolve uncertainty. The theory predicts that curiosity is heightened when the information gap is small but not absent, that curiosity can be induced by violated expectations, exacerbated when one is asked to make guesses about some unknown or missing information, and sustained only if there is timely release of information that satisfies the curiosity. The key insight for HCI research is that similar to other types of rewards, e.g., money, points and badges, information can be treated as a type of currency for motivation, and that one can design interfaces to induce and maintain curiosity in order to direct the behavior of the participants. In this talk, I will first give an overview of the key ideas in information-theoretic models of curiosity, and how these ideas manifest themselves historically in various lines of research in human-computer interaction. Next, I will present results from a recent study where we designed curiosity-inducing interfaces and studied them in the context of a crowdsourcing task on Amazon Mechanical Turk. Experimental results show that our curiosity interventions improve worker retention without degrading performance, and the magnitude of the effects are influenced by both personal characteristics of the worker and the nature of the task. Finally, I will end the talk by describing several on-going projects that continue to investigate principled ways to harness curiosity through design.
Biography
Edith Law is an assistant professor at the David R. Cheriton School of Computer Science at University of Waterloo. Her research focuses on studying incentive mechanisms in crowdsourcing systems and developing new ways to combine humans and machines to address problems in science and medicine. Previously, she was a CRCS postdoctoral fellow at the School of Engineering and Applied Sciences at Harvard University. She graduated from Carnegie Mellon University in 2012 with Ph.D. in Machine Learning, M.Sc. in Computer Science at McGill University, and B.Sc. in Computer Science at University of British Columbia. She was a Microsoft Graduate Research Fellow, co-authored the book “Human Computation” in the Morgan & Claypool Synthesis Lectures on Artificial Intelligence and Machine Learning, co-organized the Human Computation Workshop (HCOMP) Series at KDD and AAAI from 2009 to 2012, and helped create the first AAAI Conference on Human Computation and Crowdsourcing. Her work on games with a purpose and crowdsourcing has won several best paper honourable mentions at CHI.
[cid:part6.03080304.05040900@ryerson.ca]
OUR SPONSORS:
[cid:part7.01000803.07000104@ryerson.ca] TUX is made possible by the support of our sponsors, Steven Sanders, Autodesk, University of Toronto Department of Computer Science, and MaRS.
About MaRS: MaRS is the one of the world’s largest urban innovation hubs—a place for collaboration, creativity and entrepreneurship. Located in the heart of Toronto’s research district, MaRS provides the space, training, talent and networks required to commercialize important discoveries and launch and grow Canadian startups.
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Ali Mazalek -
Daniel Wigdor