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?Direction: Smart Devices, Sensing Hardware, and Embedded Interaction
Embedded Deployment, Automation Integration, and Device Constraints
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2025
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32 items
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?lightbulbPractical problemEmbedded Deployment, Automation Integration, and Device Constraints
Viewers struggle to quickly extract useful knowledge from chaotic danmu when watching science videos.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?lightbulbPractical problemEmbedded Deployment, Automation Integration, and Device Constraints
Airports often face integration difficulties and implementation delays when adopting automation technology.helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can complex machine learning models be optimized for device constraints and efficient on-device ML experiences?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can HCI and ML experts collaborate during model compression to improve UX?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
Which compression techniques (e.g., quantization, pruning, distillation) most significantly affect on-device ML performance?lightbulbPractical problemEmbedded Deployment, Automation Integration, and Device Constraints
Limited device performance makes it difficult to balance efficient algorithms and real-time response in UX.helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can RFID-enhanced technology turn plywood into a low-cost, battery-free smart material?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
Can RFID-enhanced plywood (Tagnoo) retain sensing functionality after traditional processing (e.g., cutting and painting)?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How accurate is Tagnoo material at recognizing user activities and objects, and can it adapt to home and office scenarios?lightbulbPractical problemEmbedded Deployment, Automation Integration, and Device Constraints
Woodworkers and ordinary users cannot easily fabricate and use smart furniture.helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can data generated by semi-automated systems be used to explore relationships between operator behavior and system performance?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
In semi-automated manufacturing systems, how do operator decision behaviors affect production efficiency and product quality?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
Through which factors can the impact of operator behavior on manufacturing performance be more finely quantified?lightbulbPractical problemEmbedded Deployment, Automation Integration, and Device Constraints
How operators affect manufacturing performance still lacks fine-grained quantitative analysis.helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can social buses serve as mobile charging stations to extend drone delivery range?UbiComp '21Efficient Scheduling of Energy-Constrained Drones for Last-Mile Package Delivery Using Crowdsourced Buses
helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can energy-neutral flight principles optimize drone scheduling in last-mile delivery?UbiComp '21Efficient Scheduling of Energy-Constrained Drones for Last-Mile Package Delivery Using Crowdsourced Buses
helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can spatiotemporal distribution of social bus networks be maximized to reduce delivery time and energy consumption?UbiComp '21Efficient Scheduling of Energy-Constrained Drones for Last-Mile Package Delivery Using Crowdsourced Buses
lightbulbPractical problemEmbedded Deployment, Automation Integration, and Device Constraints
Drones are limited by batteries; last-mile delivery range is small and costly.UbiComp '21Efficient Scheduling of Energy-Constrained Drones for Last-Mile Package Delivery Using Crowdsourced Buses
helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can rich behavioral and interaction information in audiovisual data be effectively analyzed in qualitative research?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How are detectables and inspectables defined and applied in audiovisual data analysis?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can qualitative researchers' workflow for finding target segments in audiovisual data be optimized with automated support?lightbulbPractical problemEmbedded Deployment, Automation Integration, and Device Constraints
Qualitative researchers analyze audiovisual data inefficiently and easily miss key details.helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can blockchain and smart contracts be designed to enable automated donations based on real-time events?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How can users enhance donation experience by perceiving the 'optimal timing' of real-time events?helpResearch questionEmbedded Deployment, Automation Integration, and Device Constraints
How does temporal design affect users' moral and emotional responses in charitable donation?lightbulbPractical problemEmbedded Deployment, Automation Integration, and Device Constraints
Traditional donation methods lack flexibility and cannot dynamically synchronize with real-time events.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
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