Modern approaches of Artificial Intelligence, which are data-driven and computational model centric, have a broad impact on how each field tackles its own challenges. There are increasing interests in the HCI field of using these modern AI methods to address both classic and emerging HCI problems. While these methods offer great capacities to solve complex problems, using these methods in HCI works also pose challenges.
The goal of this workshop is to start the conversation on several fronts regarding how to effectively use these methods in our field in conjunction with traditional HCI approaches. In particular, the workshop will discuss:
Participants should submit a position paper that is 2-4 pages long (including references) in the CHI Extended Abstracts Format that outlines their view on the workshop theme and the reasons for their interest in the topic including their previous work related to the workshop topic. Papers should be submitted to the workshop website. We will select papers based on their relevance, quality, and diversity. Participants from both computational and design backgrounds are welcome. At least one author of each accepted position paper must attend the workshop and all participants must register for both the workshop and for at least one day of the conference.
Workshop website: https://sites.google.com/view/ai4hci
Paper Submission Open on OpenReview: December 16, 2019
Paper Submission Deadline: February 11, 2020
Paper Notification Date: February 28, 2020
Workshop Date: April 25, 2020
ai4hci@googlegroups.com
Submit your paper on OpenReview.
Yang Li (Google Research)
Walter S. Lasecki (University of Michigan)
Ranjitha Kumar (University of Illinois Champaign)
Otmar Hilliges (ETH Zürich)