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Human-computer interaction

Redefining human experiences through innovations in research, design, and technology.

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Published Date

Publication

Voting with the Stars: Analyzing Partisan Engagement between Celebrities and Politicians in India

Ramaravind Kommiya Mothilal, Dibyendu Mishra, Sachita Nishal, Faisal Lalani, Joyojeet Pal

April 2022

Project

Publication

Designing for Responsible Trust in AI Systems: A Communication Perspective

Q. Vera Liao, S. Shyam Sundar

FAccT 2022 | April 2022

Preprint

Publication

How Much Do Platform Workers Value Reviews? An Experimental Method

David M. Holtz, Liane Scult, Siddharth Suri

CHI 2022 | April 2022

Publication

SpinOcchio: Understanding Haptic-Visual Congruency of Skin-Slip in VR with a Dynamic Grip Controller

Myung Jin Kim, Neung Ryu, Wooje Chang, Michel Pahud, Mike Sinclair, Andrea Bianchi

CHI 2022 | April 2022

Project

Publication

(Re)Politicizing Digital Well-Being: Beyond User Engagements

Niall Docherty, Asia J. Biega

CHI 2022 | April 2022

Project

Publication

Responsible Language Technologies: Foreseeing and Mitigating Harms

Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael Muller, Morgan Klaus Scheuerman, Chenhao Tan, Qian Yang

CHI 2022 | April 2022

Publication

Characterizing and Predicting Engagement of Blind and Low-Vision People with an Audio-Based Navigation App

Tiffany Liu, Javier Hernandez, Mar Gonzalez Franco, Antonella Maselli, Melanie Kneisel, Adam Glass, Jarnail Chudge, Amos Miller

CHI 2022 | April 2022

Video Project

Publication

Style Blink: Exploring Digital Inking of Structured Information via Handcrafted Styling as a First-Class Object

Hugo Romat, Nicolai Marquardt, Ken Hinckley, Nathalie Henry Riche

CHI 2022 | April 2022

Publication

“I Didn’t Know I Looked Angry”: Characterizing Observed Emotion and Reported Affect at Work

Harmanpreet Kaur, Daniel McDuff, Alex C. Williams, Jaime Teevan, Shamsi Iqbal

CHI 2022 | April 2022

Project

Teachable AI Experiences (Tai X)

The Teachable AI Experiences team (Tai X) aims to innovate teachable AI systems that allow people near or far from the norm to create meaningful personalized experiences for themselves. What we ALL have in common…

Human-computer interaction

Highlights