Microsoft Research @ HCOMP 2017

Venue: Hilton Quebec and Quebec City Convention Center (opens in new tab)

Co-located: Conference on User Interface Software and Technology (UIST) (opens in new tab)

Website: Human Computation and Crowdsourcing (opens in new tab)

We are excited to be a gold sponsor of Human Computation and Crowdsourcing (HCOMP) 2017, the premier venue for disseminating the latest research findings on crowdsourcing and human computation. While artificial intelligence (AI) and human-computer interaction (HCI) represent traditional mainstays of the conference, HCOMP believes strongly in inviting, fostering, and promoting broad, interdisciplinary research. This field is particularly unique in the diversity of disciplines it draws upon, and contributes to, ranging from human-centered qualitative studies and HCI design, to computer science and artificial intelligence, economics and the social sciences, all the way to digital humanities, policy, and ethics.

Conference Co-chair

Adam Tauman Kalai

Works-in-Progress & Demonstration Co-chair

Ece Kamar

Publicity Co-chair

Jenn Wortman Vaughan

Program Committee

Andrew Mao

Dengyong Zhou

Genevieve Patterson

Sessions

Toward Scalable Social Alt Text: Conversational Crowdsourcing as a Tool for Refining Vision-to-Language Technology for the Blind, Ece Kamar, Meredith Ringel Morris

CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering, Jaime Teevan, Ece Kamar

Industry Panel

AI, Expertise, and Workers’ Rights, Justin Harris

Accepted Papers

“CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering,” Jaime Teevan, Microsoft Research, Ece Kamar, Microsoft Research, Harmanpreet Kaur, University of Michigan, Mitchell Gordon, University of Rochester, Yiwei Yang, University of Michigan, Jeffrey P. Bigham, CMU and Walter S. Lasecki, University of Michigan

“Toward Scalable Social Alt Text: Conversational Crowdsourcing as a Tool for Refining Vision-to-Language Technology for the Blind,” Ece Kamar, Microsoft Research and Meredith Ringel Morris, Microsoft Research, and Elliot Salisbury, University of Southampton