The Kahlert School of Computing is gearing up for the CHI 2024 conference on the island of Oʻahu, Hawaiʻi from May 11-16th. Regarded as the premier global event for Human-Computer Interaction, the ACM CHI Conference on Human Factors in Computing Systems unites industry and academic experts to explore avenues for advancing and refining cutting-edge technologies.
The Kahlert School of Computing is proud to be represented by several students and faculty members presenting research at the conference, including: PhD students Joshua Dawson, Eden Fisher, Maxim Lisnic, and faculty members Paul Rosen, Alexander Lex, Marina Kogan, and Jason Wiese.
The works that will be presented by Kahlert School of Computing faculty and students are:
Hospital Employee Experiences Caring for Patients in Smart Patient Rooms
Authors: Joshua Dawson, Eden Fisher, Jason Wiese
This work sheds light on Hospital employees’ current use of smart Hospital room technology with thematic analysis of interviews, highlighting benefits, drawbacks, and potential areas for improvement.
“Yeah, this graph doesn’t show that”: Analysis of Online Engagement with Misleading Data Visualizations
Authors: Maxim Lisnic, Alexander Lex, Marina Kogan
This investigation analyzes the public’s engagement with data visualization posts about COVID-19 on Twitter, discussing opportunities and limitations to effectively leveraging crowdsourced assessments to address data-driven misinformation.
Do You See What I See? A Qualitative Study Eliciting High-Level Visualiz ation Comprehension
Authors: Paul Rosen, Ghulam Jilani Quadri (University of North Carolina), Zhehao Wang (University of North Carolina at Chapel Hill), Arran Zeyu Wang (University of North Carolina-Chapel Hill), Jennifer Adorno (University of South Florida), Danielle Albers Szafir (University of North Carolina-Chapel Hill)
This work explores how viewers interpret visualizations in alignment with designers’ communicative goals, contrasting with traditional studies focused on isolated tasks. It contains an investigation into the natural comprehension of high-level patterns in visualizations, revealing discrepancies between stated objectives and audience understanding across different chart types.
In addition, Kahlert School of Computing Associate Professor, Katherine E Isaacs will be one of the chairs for the workshop Human-Notebook Interactions: The CHI of Computational Notebooks. The workshop aims to unite researchers from the CHI community to foster collaboration at the intersection of computational notebook and HCI research, focusing on the effective design and use of interfaces within computational notebook environments.