CMU Crowdsourcing Lunch Seminar: Katharina Reinecke


Title: Volunteer-Primarily based On-line Experiments With Numerous Samples: Classes Discovered from Six Years of LabintheWild

Speaker: Katharina Reinecke, Assistant Professor of Laptop Science & Engineering, College of Washington

Date: Could 1, 2018

Time: 12:00-1:00pm

Room: Gates-Hillman Complicated 6501


An estimated 95% of our scientific information about folks, their conduct, notion, and preferences relies on research with “WEIRD” samples, an acronym for individuals who’re Western, Educated, Industrialized, Wealthy, and Democratic. My work in Human-Laptop Interplay has proven that expertise developed for WEIRD users—based on information that’s derived from research with principally US-based pupil populations—is typically misaligned with the preferences, behaviors, and talents of a giant proportion of the world’s inhabitants. Customers differ of their targets, how they understand info,  and what they’ll work with most effectively.

On this speak, I report on six years of expertise operating the volunteer-based on-line experiment platform, which has enabled behavioral experiments at bigger scale and with much less WEIRD individuals than possible in laboratory research or on Mechanical Turk. LabintheWild allows individuals to match themselves to others in change for examine participation; a suggestions mechanism that has attracted a median of greater than 1,000 individuals a day from 230 international locations. I current ten principal classes discovered from this expertise and present how LabintheWild experiments have enabled us to construct volunteer-powered, self-sustaining design assist instruments in numerous domains.    


Katharina Reinecke is an Assistant Professor within the Paul G. Allen Faculty of Laptop Science and Engineering on the College of Washington. Previous to becoming a member of the College of Washington, she was an Assistant Professor within the Faculty of Data on the College of Michigan. She obtained her Ph.D. in Laptop Science from the College of Zurich and spent her postdoctoral years at Harvard Faculty of Engineering and Utilized Sciences. Her analysis explores how folks from numerous demographic and geographic backgrounds differ of their use of expertise with the purpose to create person interfaces that robotically adapt to folks’s talents, preferences, and notion. To learn the way folks differ, she co-founded the volunteer-based on-line experiment website, which has enabled her to review a number of million individuals from 230 international locations. Katharina’s work has been acknowledged with a number of Finest Paper awards and nominations at premier venues in Human-Laptop Interplay (ACM CHI, ACM CSCW) and an NSF CAREER Award.


Please enter your comment!
Please enter your name here