Learn methods of fostering collaboration between humans and artificial intelligence in this School of Computing and Augmented Intelligence Summer 2022 Seminar Series event.
Supporting Human-Artificial Intelligence Collaborations with Visual Interfaces
Presented by Singahn Ko, Ulsan National Institute of Science and Technology, South Korea
Wednesday, June 1, 2022
Brickyard (BYENG) 210, Tempe campus [map]
With the dramatic advancements in artificial intelligence technologies, many people desire to use AI in their everyday work. However, it is worth emphasizing that although people expect to interactively acquire the assistance they need from AI in a timely manner, satisfying their expectations may be challenging because in-depth analysis and understanding of user tasks and AI models are required. In addition, visual interfaces play an important role as a medium of communication and interaction to realize human-AI collaborations.
In this talk, Singahn Ko presents how to foster collaborations between humans and AI with two case studies in different domains. In the first case study, he describes how he and his research team designed a visual interface that enables experts in the congestion control domain to effectively analyze traffic congestion and broadcast congested roads with the help of a deep-learning model. In the second study, he introduces a novel visual interface that allows novice users to design mobile user interfaces that elicit real-time assistance from AI models. The experiment results indicate that UI designs created with the team’s visual interface received significantly higher scores than those without. Moreover, the users of Ko’s visual interface reported that using it is more fun, effective, efficient and comfortable compared with other design tools without AI assistance.
About the speaker
Sungahn Ko is an associate professor in the School of Computer Science and Engineering and the Graduate School of Artificial Intelligence at the Ulsan National Institute of Science and Technology in Ulsan, South Korea. His research interests include visual analytics, information visualization, deep learning and human-computer interaction with a focus on human-AI collaboration.
He received a doctoral degree in electrical and computer engineering from Purdue University in 2014, a master’s degree from the Korea Advanced Institute of Science and Technology in 2008 and a bachelor’s degree from Korea University in 2006.