Research in Human-Computer Interaction
HOW TO READ:
– The chart shows every paper, etc., plus authors (1 row = 1 paper).
– The first column is research with GT lead authors; the second is research with GT co-authors. (All first authors are labeled.)
– The bars are sorted by percent of GT authors on each paper in descending order.
Click the image to interact with the data.
Congratulations to Fred Hohman for receiving the SIGCHI Outstanding Dissertation Award, given to up to three honorees each year. This award recognizes excellent dissertation research by recent Ph.D. recipients in Human-Computer Interaction.
Interactive Scalable Interfaces for Machine Learning Interpretability
May 2, 4:45 p.m.
When security and privacy are violated by data-gathering companies, calls for reform from victims often result in little to no change due to a lack of agreed demands and a misalignment between experts and the public. Â
To help solve this problem, Yuxi Wu, a Ph.D. student at the Georgia Tech School of Interactive Computing, explored designing a system that guides people affected by institutional privacy violations toward making unified demands for redress.Â
Georgia Tech is part of 1 in every 5 sessions in the papers program
Click images to explore the charts
GT first authors in bold
User Modeling
Semantic Gap in Predicting Mental Wellbeing through Passive Sensing
Vedant Das Swain, Victor Chen, Shrija Mishra, Stephen Mattingly, Gregory Abowd, Munmun De Choudhury
Justice & Equity I
From Treatment to Healing: Envisioning a Decolonial Digital Mental Health
Sachin Pendse, Daniel Nkemelu, Nicola Bidwell, Sushrut Jadhav, Soumitra Pathare, Munmun De Choudhury, Neha Kumar
Deviance Online
Understanding the Digital Lives of Youth: Analyzing Media Shared within Safe Versus Unsafe Private Conversations on Instagram
Shiza Ali, Afsaneh Razi, Seunghyun Kim, Ashwaq Alsoubai, Joshua Gracie, Munmun De Choudhury, Pamela Wisniewski, Gianluca Stringhini
Design Foundations
Diffraction-in-action: Designerly Explorations of Agential Realism Through Lived Data
Pedro Sanches, Noura Howell, Vasiliki Tsaknaki, Tom Jenkins, Karey Helms
Gender and Communities
Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages
Jiao Sun, Tongshuang Wu, Yue Jiang, Ronil Awalegaonkar, Xi Victoria Lin, Diyi Yang
PLAYLISTS
alt.chi | 2 videos
Case Study | 1 video
Journal | 1 video
Late-Breaking Work | 5 videos
Paper | 20 videos
The Second Workshop on Human-centered Explainable AI (HCXAI) will examine how human-centered perspectives in XAI can be operationalized at the conceptual, methodological, and technical levels. Encouraging holistic (historical, sociological, and technical) approaches, the workshop will put an emphasis on “operationalizing”, aiming to produce actionable frameworks, transferable evaluation methods, concrete design guidelines, and articulate a coordinated research agenda for XAI. This year’s workshop builds on the success of last year’s discussion that included over 100 participants from 14+ countries, making it one of CHI’s most-attended workshops. The 2022 workshop includes 29 papers and features Tania Lombrozo, a prominent thinker on the psychology of explanations, joining as a key speaker. Part of the organizing team of this workshop is leading the editorial efforts for the first ever Journal Special Issue on HCXAI as part of the proceedings of the ACM Transactions on Interactive Intelligent Systems (TiiS).
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