activity
20192022
most citedCheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis

118 citations · 141 across the 8 of their papers we have counts for

collaborators
Showing cs.HCShow all

9 papers · 1 filter

cs.HC2022

DeclutterCam: A Photographic Assistant System with Clutter Detection and Removal

Xiaoran Wu, Zihan Yan, Xiang Anthony Chen

Photographs convey the stories of photographers to the audience. However, this story-telling aspect of photography is easily distracted by visual clutter. Informed by a pilot study…

cs.HC20202 cited

OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray

Yuan Liang, Liang Qiu, Tiancheng Lu +8

Patient's understanding on forthcoming dental surgeries is required by patient-centered care and helps reduce fear and anxiety. Due to the gap of expertise between patients and den…

cs.HC20207 cited

FaceOff: Detecting Face Touching with a Wrist-Worn Accelerometer

Xiang 'Anthony' Chen

According to the CDC, one key step of preventing oneself from contracting coronavirus (COVID-19) is to avoid touching eyes, nose, and mouth with unwashed hands. However, touching o…

cs.HC20201 cited

Romeo: A Design Tool for Embedding Transformable Parts in 3D Models to Robotically Augment Default Functionalities

Jiahao Li, Meilin Cui, Jeeeun Kim +1

Reconfiguring shapes of objects enables transforming existing passive objects with robotic functionalities, e.g., a transformable coffee cup holder can be attached to a chair's arm…

cs.HC2020

Geno: A Developer Tool for Authoring Multimodal Interaction on Existing Web Applications

Ritam Jyoti Sarmah, Yunpeng Ding, Di Wang +3

Supporting voice commands in applications presents significant benefits to users. However, adding such support to existing GUI-based web apps is effort-consuming with a high learni…

cs.HC2020

XAlgo: a Design Probe of Explaining Algorithms' Internal States via Question-Answering

Juan Rebanal, Yuqi Tang, Jordan Combitsis +1

Algorithms often appear as 'black boxes' to non-expert users. While prior work focuses on explainable representations and expert-oriented exploration, we propose and study an inter…