254 citations · 345 across the 15 of their papers we have counts for
4 papers · 1 filter
Metacognitive Scaffolds Create Productive Friction for AI-Assisted Knowledge Work
Viktor Kewenig, Lev Tankelevitch, Sean Rintel +2
Generative AI imposes new metacognitive demands on knowledge workers as their work shifts from production to planning, evaluation, and orchestration. In a randomized, between-subje…
Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition
Daniela Fernandes, Daniel Buschek, Lev Tankelevitch +2
Large Language Model interfaces are increasingly verbose, exposing intermediate reasoning traces alongside final answers. Traces are framed as transparency mechanisms, yet it is un…
Scaffolding Human-AI Collaboration: A Field Experiment on Behavioral Protocols and Cognitive Reframing
Alex Farach, Alexia Cambon, Lev Tankelevitch +2
Organizations have widely deployed generative AI tools, yet productivity gains remain uneven, suggesting that how people use AI matters as much as whether they have access. We cond…
Nudging Attention to Workplace Meeting Goals: A Large-Scale, Preregistered Field Experiment
Lev Tankelevitch, Ava Elizabeth Scott, Nagaravind Challakere +2
Ineffective meetings are pervasive. Thinking ahead explicitly about meeting goals may improve effectiveness, but current collaboration platforms lack integrated support. We tested…