User study finds that task difficulty affects keystroke dynamics during LLM prompting as a marker of cognitive effort, while device type has weaker effects and keystrokes do not predict perceived output usefulness.
Air traffic con- troller workload level prediction using conformalized dynamical graph learning
4 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 4representative citing papers
Graph-based probabilistic forecasts of relevant aircraft pairs in UK airspace achieve higher correlation (ρ=0.68) with workload proxies than standard volume predictions (ρ=0.55).
A parser and code generator that turns Haystack definitions into Pydantic models and JSON Schemas for validation and type checking.
NLP-derived attributes from construction incident reports remain strongly predictive of independently labeled safety outcomes even after removing potential label leakage, with injury severity now well predicted on a dataset of more than 90,000 reports.
citing papers explorer
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Typing Behavior in Human-LLM Interaction: Keystroke Dynamics Reveal Cognitive Effort During Prompting
User study finds that task difficulty affects keystroke dynamics during LLM prompting as a marker of cognitive effort, while device type has weaker effects and keystrokes do not predict perceived output usefulness.
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Graph-based Complexity Forecasts in UK En Route Airspace Using Relevant Aircraft Interactions
Graph-based probabilistic forecasts of relevant aircraft pairs in UK airspace achieve higher correlation (ρ=0.68) with workload proxies than standard volume predictions (ρ=0.55).
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Type Checking Project Haystack Grids using JSON Schema and Pydantic
A parser and code generator that turns Haystack definitions into Pydantic models and JSON Schemas for validation and type checking.
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AI-based Prediction of Independent Construction Safety Outcomes from Universal Attributes
NLP-derived attributes from construction incident reports remain strongly predictive of independently labeled safety outcomes even after removing potential label leakage, with injury severity now well predicted on a dataset of more than 90,000 reports.