Direction: General AI Systems and Interaction Design

AI Scoring Explanation and Quality Assessment

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2024

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helpResearch questionAI Scoring Explanation and Quality Assessment

In dynamic sports scenarios, which modality feedback such as visual, auditory, or haptic works best for athletes?

UbiComp '24Multimodal Sports Interaction: Wearables and HCI in Motion

helpResearch questionAI Scoring Explanation and Quality Assessment

Can existing mobile interaction frameworks effectively support multimodal feedback design in dynamic sports scenarios?

UbiComp '24Multimodal Sports Interaction: Wearables and HCI in Motion

helpResearch questionAI Scoring Explanation and Quality Assessment

How can new modalities such as temperature and scent changes be integrated into sports wearable interaction design?

UbiComp '24Multimodal Sports Interaction: Wearables and HCI in Motion

lightbulbPractical problemAI Scoring Explanation and Quality Assessment

During dynamic sports, existing feedback methods are often disrupted by environment and body movement.

UbiComp '24Multimodal Sports Interaction: Wearables and HCI in Motion

helpResearch questionAI Scoring Explanation and Quality Assessment

What gaps exist between athletes' perceived importance of fitness, mental health, nutrition, and sleep and actual monitoring practices?

UbiComp '24Maximising the Usefulness of Wearable Data for Athletes

helpResearch questionAI Scoring Explanation and Quality Assessment

In what ways do existing athlete management systems fail to meet athletes' needs for data tracking and feedback?

UbiComp '24Maximising the Usefulness of Wearable Data for Athletes

helpResearch questionAI Scoring Explanation and Quality Assessment

How can a comprehensive management platform better aligned with athlete needs be designed for effective long-term data monitoring?

UbiComp '24Maximising the Usefulness of Wearable Data for Athletes

lightbulbPractical problemAI Scoring Explanation and Quality Assessment

Athletes struggle to effectively monitor fitness, mental health, nutrition, and sleep data long-term and gain integrated insights.

UbiComp '24Maximising the Usefulness of Wearable Data for Athletes

helpResearch questionAI Scoring Explanation and Quality Assessment

How can the 16 major challenges in SportsHCI be systematically classified and addressed?

CHI '24Grand Challenges in SportsHCI

helpResearch questionAI Scoring Explanation and Quality Assessment

Can a long-term research framework for SportsHCI be established from user, technology, design, and societal perspectives?

CHI '24Grand Challenges in SportsHCI

helpResearch questionAI Scoring Explanation and Quality Assessment

How can effective transitions from laboratory research to real sports contexts be achieved with lasting impact?

CHI '24Grand Challenges in SportsHCI

lightbulbPractical problemAI Scoring Explanation and Quality Assessment

Athletes and ordinary users lack technical support and systematic methods for improving sports experience and performance.

CHI '24Grand Challenges in SportsHCI

Adjacent categories

General AI Systems and Interaction Design

AI Scoring Explanation and Quality Assessment

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Related papers

Grand Challenges in SportsHCI

Adjacent categories

Shape-Changing Fabrication and Dynamic Material Interfaces

Model Steering, Latent Space Editing, and Knowledge Injection

Haptic, Force Feedback, and Multisensory Interface Design

Hardware Maintenance and Asynchronous Problem-Solving Support

Sensory Substitution, Cognitive Load, and Blind Operation

Personal Data Reflection and Goal-Setting Support

Attention Orchestration in Multi-Device Environments

Shape-Changing Interfaces and Deformable Display Design