HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Education, Training, and Skill Development / Classroom Learning Behavior Sensing and Physiological/State Monitoring

Can wearable smart devices provide effective real-time feedback in team rowing training?

helpResearch questionClassroom Learning Behavior Sensing and Physiological/State Monitoring

Can wearable smart devices provide effective real-time feedback in team rowing training?

UbiComp '24A System to Visualize Differences in Paddling Timing between Teammates in Rowing

Similar questions

helpResearch questionClassroom Learning Behavior Sensing and Physiological/State Monitoring

How can classroom environmental sensing systems accurately attribute behavior to individual students?

UbiComp '24ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems

helpResearch questionClassroom Learning Behavior Sensing and Physiological/State Monitoring

Can student behavior be tracked continuously across multiple classrooms and long time spans?

UbiComp '24ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems

helpResearch questionClassroom Learning Behavior Sensing and Physiological/State Monitoring

How can deep learning optimize student ID assignment and matching accuracy in classrooms?

UbiComp '24ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems

helpResearch questionClassroom Learning Behavior Sensing and Physiological/State Monitoring

How can acceleration data quantify stroke timing differences among multiple rowers?

UbiComp '24A System to Visualize Differences in Paddling Timing between Teammates in Rowing

helpResearch questionClassroom Learning Behavior Sensing and Physiological/State Monitoring

Can dynamic time warping (DTW) and Euclidean distance effectively evaluate rowing stroke consistency?

UbiComp '24A System to Visualize Differences in Paddling Timing between Teammates in Rowing

helpResearch questionClassroom Learning Behavior Sensing and Physiological/State Monitoring

How can self-supervised learning extract reusable semantic representations from mouse trajectories?

CHI '24Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour

Related papers

ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems

Prasoon Patidar, Tricia J. Ngoon, John Zimmerman

Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour

Guanhua Zhang, Zhiming Hu, Mihai Bâce

Using Geometric Features of Drag-and-Drop Trajectories to Understand Students' Learning

Jungwook Rhim, Jiwon Kim, Gahgene Gweon