CHCI 6th Annual Workshop: Human-Centered AI for Research, Innovation, and Creativity: Creating Connections Across Disciplines
We invite the Virginia Tech community to join us on March 24-25, 2022, as we explore new connections and create new collaborations across disciplines.
The workshop is free, but space is limited. Please register for the workshop here.
The event will be held in hybrid form, both online and at the Virginia Tech Newman Library. For more information, please contact Sara Evers at saralevers@vt.edu.
Co-sponsors include the Sanghani Center for Artificial Intelligence & Data Analytics, the Center for Humanities, and the Diggs Teaching Scholar Association. Philip Butler's keynote lecture has been made possible by a generous grant from the Henry Luce Foundation.
About
AI and related technologies (e.g., machine learning, computer vision, natural language processing) can be very powerful for the analysis of large and complex datasets. Simultaneously, what constitutes “data” continues to expand as domain experts, from literature to construction, reimagine their research and creative output. A human-centered design approach can improve the accessibility and usability of AI-powered tools. Empowering teams of domain experts, AI experts, and human-centered design experts to make effective use of these technologies is an area rich in opportunity for collaborative research and design. Already, transdisciplinary teams at Virginia Tech are forging frontiers in AI-empowered, human-centered research, analytics, performance, and design.
Through the workshop we will explore ways of improving the user experience of AI-powered data analysis, and facilitate transdisciplinary collaborations involving human-centered design, AI, and domain experts. During and after the workshop, we envision that human-centered designers with expertise in HCI, UX, interactive visualization, and the like will be able to work with experts in any domain with complex data analysis needs (e.g., construction, education, intelligence analysis, agriculture, history) to understand their data and questions of interest. At the same time, AI experts will be able to recommend intelligent technologies and approaches that can address these needs. Together, such teams should be able to propose novel, usable, and accessible tools, powered by AI, to solve data analytics problems in a given domain through human-AI collaboration.
Program
Thursday, March 24, 2022
Friday, March 25, 2022
A selection of CHCI projects with transdisciplinary teams that include subject area, HCI, and AI domains includes:
Keynote speakers
Philip Butler is an Assistant Professor of Theology and Black Posthuman Artificial Intelligence Systems at ILLIF School of Theology Denver. Dr. Butler’s scholarship combines Black liberation theologies, neuroscience, spirituality and technology, particularly artificial intelligence. He is also the founder of The Seekr Project, which is a distinctly Black conversational artificial intelligence with mental health capacities, combining machine learning and psychotherapeutic systems.
Louis-Philippe Morency is the Leonardo Associate Professor of Computer Science in the Language Technologies Institute at Carnegie-Mellon University. His research interests lie at the intersection of machine learning, computer vision, computational linguistics and signal processing — building the computational foundations to enable computers with the abilities to analyze, recognize and predict subtle human communicative behaviors during social interactions. Dr. Morency leads the Multimodal Communication and Machine Learning Laboratory which aims to build the algorithms and computational foundation to understand the interdependence between human verbal, visual, and vocal behaviors expressed during social communicative interactions.
Panelists
Construction Worker 4.0: Augmenting worker capabilities through Immersive technologies: Nazila Roofigari-Esfahan (Building Construction) and Todd Ogle (University Libraries)
Teaching Interdisciplinary Research Skills: Stephanie (Nikki) Lewis (Honors College) and Anne Brown (Biochemistry)
Characterizing events and human behavior based on AI-aided analysis of data collected from web and social media sources: Ed Fox (Computer Science) and Steven Sheetz (Accounting and Information Systems)
People
Leads
Ed Gitre: Assistant Professor, Department of History
Chreston Miller: Assistant Professor, University Libraries
Organizing Committee
Doug Bowman: Director, CHCI and Professor, Computer Science
Todd Ogle: Associate Director, CHCI and Assistant Professor, University Libraries
Andrea Kavanaugh: Associate Director, CHCI, and Senior Research Scientist
Sara Evers: Graduate Assistant, CHCI and Ph.D. student, School of Education
Drew Loomis: Technical Support, Computer Science student