helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
Through which factors can the impact of operator behavior on manufacturing performance be more finely quantified?Smart Devices, Sensing Hardware, and Embedded Interaction / Embedded Deployment, Automation Integration, and Device Constraints
Through which factors can the impact of operator behavior on manufacturing performance be more finely quantified?
Similar questions
helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can augmented intelligent processing and interactive interfaces help users absorb collective knowledge from danmu in science popularization videos?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can automated NLP and multi-layer knowledge organization improve information density and structure of danmu?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How effective are different modes (overview, focus, exploration) in supporting user knowledge acquisition?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
From practitioners responsible for automation implementation, what major challenges do organizations face when adopting automation?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How do social imaginaries influence practitioners' design paths and integration approaches for automation technology?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
Which specific factors in standardized environments such as airports limit smooth automation implementation?Related papers
CHI 2025
CoKnowledge: Supporting Assimilation of Time-synced Collective Knowledge in Online Science Videos
Yuanhao Zhang, Yumeng Wang, Xiyuan Wang
CHI 2025
Why does Automation Adoption in Organizations Remain a Fallacy?: Scrutinizing Practitioners' Imaginaries in an International Airport
Garoa Gomez-Beldarrain, Himanshu Verma, Euiyoung Kim
CHI 2024
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences
Fred Hohman, Mary Beth Kery, Donghao Ren
CHI 2024
Tagnoo: Enabling Smart Room-Scale Environments with RFID-Augmented Plywood
Yuning Su, Tingyu Zhang, Jiuen Feng
CHI 2023
Charlie and the Semi-Automated Factory: Data-Driven Operator Behavior and Performance Modeling for Human-Machine Collaborative Systems
Eunji Park, Yugyeong Jung, Inyeop Kim
CHI 2021
From Detectables to Inspectables: Understanding Qualitative Analysis of Audiovisual Data
Krishna Subramanian, Johannes Maas, Jan Borchers
CHI 2021
A Right Time to Give: Beyond Saving Time in Automated Conditional Donations
Nicola J Bidwell, Chris Elsden, Ludwig Trotter