Call For Participation

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:

• HCI topics that have been investigated by using modern AI methods and problems that are still under explored;
• Challenges in working at the intersection between AI and HCI, including the tension between the limited scale of HCI dataset and that demanded by these AI methods such as deep learning.
• Issues about how AI model-based work can make useful contribution to the HCI field, reconciling aspects of a contribution valued by different fields.
• Progress and methods for deriving analytical understandings about AI models that are relevant to HCI, rather than only using the output of the model.
• Cases and insights into how to combine guideline or heuristic-based approaches with data-driven ones.
• Tools and datasets can be shared in the community to accelerate works at the intersection of HCI and AI.

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

Important Dates

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

Concat Information

ai4hci@googlegroups.com

Submission URL

Submit your paper on OpenReview.

Organizers

Yang Li (Google Research)

Walter S. Lasecki (University of Michigan)

Ranjitha Kumar (University of Illinois Champaign)

Otmar Hilliges (ETH Zürich)