6 citations · 16 across the 23 of their papers we have counts for
8 papers · 1 filter
SituFont: A Just-in-Time Adaptive Intervention System for Enhancing Mobile Readability in Situational Visual Impairments
Jingruo Chen, Kexin Nie, Mingshan Zhang +5
Situational visual impairments (SVIs) hinder mobile readability, causing discomfort and limiting information access. Building on prior work in adaptive typography and accessibility…
PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture
Zhuojun Li, Chun Yu, Chen Liang +1
The data scarcity problem is a crucial factor that hampers the model performance of IMU-based human motion capture. However, effective data augmentation for IMU-based motion captur…
Say Your Reason: Extract Contextual Rules In Situ for Context-aware Service Recommendation
Yuxuan Li, Jiahui Li, Lihang Pan +2
This paper introduces SayRea, an interactive system that facilitates the extraction of contextual rules for personalized context-aware service recommendations in mobile scenarios.…
AngleSizer: Enhancing Spatial Scale Perception for the Visually Impaired with an Interactive Smartphone Assistant
Xiaoqing Jing, Chun Yu, Kun Yue +6
Spatial perception, particularly at small and medium scales, is an essential human sense but poses a significant challenge for the blind and visually impaired (BVI). Traditional le…
CasualGaze: Towards Modeling and Recognizing Casual Gaze Behavior for Efficient Gaze-based Object Selection
Yingtian Shi, Yukang Yan, Zisu Li +4
We present CasualGaze, a novel eye-gaze-based target selection technique to support natural and casual eye-gaze input. Unlike existing solutions that require users to keep the eye-…
Bridging the gap between natural user expression with complex automation programming in smart homes
Yingtian Shi, Xiaoyi Liu, Chun Yu +4
A long-standing challenge in end-user programming (EUP) is to trade off between natural user expression and the complexity of programming tasks. As large language models (LLMs) are…
A Human-Computer Collaborative Tool for Training a Single Large Language Model Agent into a Network through Few Examples
Lihang Pan, Yuxuan Li, Chun Yu +1
The capabilities of a single large language model (LLM) agent for solving a complex task are limited. Connecting multiple LLM agents to a network can effectively improve overall pe…
Prompt2Task: Automating UI Tasks on Smartphones from Textual Prompts
Tian Huang, Chun Yu, Weinan Shi +4
UI task automation enables efficient task execution by simulating human interactions with graphical user interfaces (GUIs), without modifying the existing application code. However…