helpResearch questionRecommendation Control, Exploration, and Diversity
Can training systems combining AI and coaching expertise significantly improve beginners' self-training efficiency?Recommendation, Personalization, and Exploration / Recommendation Control, Exploration, and Diversity
Can training systems combining AI and coaching expertise significantly improve beginners' self-training efficiency?
Similar questions
helpResearch questionRecommendation Control, Exploration, and Diversity
How can muscle synergy analysis results provide clear guidance for sports training?helpResearch questionRecommendation Control, Exploration, and Diversity
How can muscle synergy analysis be optimized to match expert data and overcome individual differences?helpResearch questionRecommendation Control, Exploration, and Diversity
How can electrical muscle stimulation (EMS) support personalized motor learning feedback to improve performance of complex movements?helpResearch questionRecommendation Control, Exploration, and Diversity
How can a training guidance system be built for basketball beginners that balances personalization and real-time feedback?helpResearch questionRecommendation Control, Exploration, and Diversity
How can a standardized operating procedure (SOP) framework improve action correction in basketball shooting training?helpResearch questionRecommendation Control, Exploration, and Diversity
What diversity characteristics exist in users' natural sleep cycles beyond weekly rhythms?Related papers
CHI 2025
Improving Putting Accuracy with Electrical Muscle Stimulation Feedback Guided by Muscle Synergy Analysis
Arinobu Niijima, Shoichiro Takeda
CHI 2025
Bridging Coaching Knowledge and AI Feedback to Enhance Motor Learning in Basketball Shooting Mechanics Through a Knowledge-Based SOP Framework
Jian-Jia Weng, Calvin Ku, Jo Chien Wang
CHI 2025
Beyond the Circadian Rhythm: Variable Cycles of Regularity Found in Long-Term Sleep Tracking
Ji Won Chung, Robin Yuan, Kirsi-Marja Zitting
CHI 2025
Facilitators and Barriers of Wearable Stress Management Technology: A Narrative Review of User Perspectives
Merel K. N. van den Berg, Armağan Karahanoğlu, Matthijs L. Noordzij
CHI 2024
An AI-Resilient Text Rendering Technique for Reading and Skimming Documents
Ziwei Gu, Ian Arawjo, Kenneth Li
CHI 2024
See Widely, Think Wisely: Toward Designing a Generative Multi-agent System to Burst Filter Bubbles
Yu Zhang, Jingwei Sun, Li Feng
CHI 2024
The Trick is to Stay Behind?: Defining and Exploring the Design Space of Player Balancing Mechanics
David Gonçalves, Daniel Barros, Pedro Pais
CHI 2024
Understanding Feedback in Rhythmic Gymnastics Training: An Ethnographic-Informed Study of a Competition Class
Leonor Portugal da Fonseca, Francisco Nunes, Paula Alexandra Silva
CHI 2024
EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches
Pengcheng An, Jiawen Stefanie Zhu, Zibo Zhang
CHI 2024
Table Illustrator: Puzzle-based interactive authoring of plain tables
Yanwei Huang, Yurun Yang, Xinhuan Shu
CHI 2023
RetroLens: A Human-AI Collaborative System for Multi-step Retrosynthetic Route Planning
Chuhan Shi, Yicheng Hu, Shenan Wang
CHI 2023
Supporting Aim Assistance Algorithms through a Rapidly Trainable, Personalized Model of Players' Spatial and Temporal Aiming Ability
Adrian L. Jessup Schneider, T.C. Nicholas Graham