(734) 764-4259
Applications: Assistive Technologies, Intelligent Digital Assistants, Smart Sensing Methodologies: Crowdsourcing, Human Computation, Machine Learning Relevant Projects: IBM Connections:

Human Computation Journal Associate Editor; HCOMP 2015 Program Committee; ASSETS 2015 Program Committee

Walter S. Lasecki

Assistant Professor, Electrical Engineering and Computer Science

Affiliation(s):

School of Information

My lab creates systems that use a combination of both human and machine computation to solve problems quickly and reliably. We have introduced the idea of continuous real-time crowdsourcing, as well as the ‘crowd agent’ model, which uses computer-mediated groups of people submitting input simultaneously to create a collective intelligence capable of completing tasks better than any constituent member.