lightbulbPractical problemLearning Support Methods, Factors, and Experience Impact
Professional Go players face challenges adapting to AI training environments, potentially affecting creativity and competitive differences.Education, Training, and Skill Development / Learning Support Methods, Factors, and Experience Impact
Professional Go players face challenges adapting to AI training environments, potentially affecting creativity and competitive differences.
Similar questions
lightbulbPractical problemLearning Support Methods, Factors, and Experience Impact
AI training workers endure high-intensity labor and face oppression of their rights.lightbulbPractical problemLearning Support Methods, Factors, and Experience Impact
Existing IA training tools fail to closely integrate with users' real-life contexts.lightbulbPractical problemLearning Support Methods, Factors, and Experience Impact
In multi-device environments, device asynchrony and uneven data distribution reduce federated learning efficiency.lightbulbPractical problemLearning Support Methods, Factors, and Experience Impact
Digital notifications severely disrupt users' reading and learning efficiency.UbiComp '24Digital Distractions in Reading: Investigating Impact of Cognitive Control Training on Reading Behavior and Outcomes
lightbulbPractical problemLearning Support Methods, Factors, and Experience Impact
Users inefficiently switch between videos and lecture notes when taking online courses.lightbulbPractical problemLearning Support Methods, Factors, and Experience Impact
Users need low-cost, easy-to-make interaction design solutions compatible with touchscreen devices.Related papers
CHI 2025
The Making of Performative Accuracy in AI Training: Precision Labor and Its Consequences
Ben Zefeng Zhang, Tianling Yang, Milagros Miceli
CHI 2025
Identifying Opportunities and Envisioning Ecological Momentary Interoceptive Awareness Interventions With Young Women
Phoebe A Staab, Arpita Bhattacharya, Petr Slovak
UbiComp 2024
ShuffleFL: Addressing Heterogeneity in Multi-Device Federated Learning
Ran Zhu, Mingkun Yang, Qing Wang
CHI 2024
SwapVid: Integrating Video Viewing and Document Exploration with Direct Manipulation
Taichi Murakami, Kazuyuki Fujita, Kotaro Hara
CHI 2024
PaperTouch: Tangible Interfaces through Paper Craft and Touchscreen Devices
Qian Ye, Zhen Zhou Yong, Bo Han
CHI 2023
Deep Learning Super-Resolution Network Facilitating Fiducial Tangibles on Capacitive Touchscreens
Marius Rusu, Sven Mayer
CHI 2022
How AI-Based Training Affected Performance of Professional Go Players
Jimoon Kang, June-seop Yoon, Byungjoo Lee
CHI 2021
Examining the Use Online Platforms for Employment: A Survey of U.S. Job Seekers
Tawanna R. Dillahunt, Aarti Israni, Alex Jiahong Lu