7 papers
TRACE: Temporal Reasoning over Context and Evidence for Activity Recognition in Smart Homes
Yingtian Shi, Abivishaq Balasubramanian, Jessica Herring +7
Human activity recognition (HAR) in smart homes remains challenging because many daily activities exhibit similar local sensor patterns, while minimally intrusive sensing provides…
EduGage: Methods and Dataset for Sensor-Based Momentary Assessment of Engagement in Self-Guided Video Learning
Zikang Leng, Edan Eyal, Yingtian Shi +3
Engagement, which links to attentional, emotional, and cognitive dimensions, plays an important role in learning. In online and video-based learning environments, learners often ne…
LLMartini: Seamless and Interactive Leveraging of Multiple LLMs through Comparison and Composition
Yingtian Shi, Jinda Yang, Yuhan Wang +4
The growing diversity of large language models (LLMs) means users often need to compare and combine outputs from different models to obtain higher-quality or more comprehensive res…
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-…
SonarWatch: Field sensing technique for smartwatches based on ultrasound and motion
Yingtian Shi, Chun Yu, Xuyang Lu +3
A smartwatch worn continuously on the wrist has the potential to perceive rich interactive gestures and natural behaviors of the user. Unfortunately, the current interaction functi…
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…