Prof. Michael Bernstein of Stanford visited the DGP to talk about his work in designing crowd-sourcing systems for experts.
Michael Bernstein is an Assistant Professor of Computer Science at Stanford University, where he co-directs the Human-Computer Interaction group and is a Robert N. Noyce Family Faculty Scholar. His research in human-computer interaction focuses on the design of crowdsourcing and social computing systems. This work has received Best Paper awards and nominations at premier venues in human-computer interaction and social computing (ACM UIST, ACM CHI, ACM CSCW, AAAI ISWSM). Michael has been recognized with the NSF CAREER award, as well as the George M. Sprowls Award for best doctoral thesis in Computer Science at MIT. He holds Ph.D. and M.S. degrees in Computer Science from MIT, and a B.S. in Symbolic Systems from Stanford University.
Crowdsourcing a Meeting of Minds
Crowdsourcing is an increasingly powerful method for combining amateurs’ efforts to recreate an expert’s abilities. However, across domains from design to engineering to art, few goals are truly the effort of just one person — even one expert. If we can now crowdsource simple tasks such as image labeling, how might we computationally coordinate many peoples’ abilities toward far more complex and interdependent goals? In this talk, I present computational systems for gathering and guiding crowds of experts — including professional programmers, designers, singers and artists. The resulting collectives tackle problems modularly and at scale, dynamically grow and shrink depending on task demands, and combine into larger organizations. I’ll demonstrate how computationally-enabled expert crowds can pursue goals such as designing new user experiences overnight, producing animated shorts in two days, and even pursuing novel research.
Prof. Chris Harrison of CMU visited the DGP to talk about his work in mobile sensing.
Dr. Harrison’s Lecture at DGP
Chris is an Assistant Professor of Human-Computer Interaction at Carnegie Mellon University. He broadly investigates novel sensing technologies and interaction techniques, especially those that empower people to interact with small devices in big ways. Harrison has been named a top 30 scientist under 30 by Forbes, a top 35 innovator under 35 by MIT Technology Review, a Young Scientist by the World Economic Forum, and one of six innovators to watch by Smithsonian. He has been awarded fellowships by Google, Qualcomm, Microsoft Research and the Packard Foundation. He is also the CTO of Qeexo, a touchscreen technology startup. When not in the lab, Chris can be found welding sculptures, visiting remote corners of the globe, and restoring his old house.
Interacting with Small Devices in Big Ways.
Eight years ago, multi-touch devices went mainstream, and changed our field, the industry and our lives. In that time, mobile devices have gotten much more capable, yet the core user experience has evolved little. Contemporary touch gestures rely on poking screens with different numbers of fingers: one-finger tap, two-finger pinch, three-finger swipe and so on. We often label these as “natural” interactions, yet the only place I perform these “gestures” is on my touchscreen device. We are also too quick to blame the “fat finger” problem for much of our touch interface woes – if a zipper or pen were too small to use, we would simply call that “bad design”. Fortunately, our fingers and hands are amazing, and with good technology and design, we can elevate touch interaction to new heights. I believe the era of multi-touch is coming to a close, and that we are on the eve of an exciting new age of “rich-touch” devices and experiences.
Jonathan Deber, Ricardo Jota, Clifton Forlines, and Daniel Wigdor learned that their paper was called-out for Honorable Mention at CHI 2015. Congratulations to the team! Paper details are below. The project will be presented at ACM CHI in Seoul in April.
How much Faster is Fast Enough? User Perception of Latency & Latency Improvements in Direct and Indirect Touch
, Ricardo Jota
, Clifton Forlines
, Daniel Wigdor
(2014). How much Faster is Fast Enough? User Perception of Latency & Latency Improvements in Direct and Indirect Touch. Proceedings of the 2015 SIGCHI conference on human factors in computing systems
(ACM CHI). 10 pages, in press.