most citedPersonality Pairing Improves Human-AI Collaboration

1 citations · 1 across the 5 of their papers we have counts for

collaborators

11 papers

econ.GN2026

Advertising Spillovers in Mobile Apps: Evidence from Ad Shutoffs and Store Rankings

Harang Ju, Michael Zhao, Sinan Aral

Using advertising campaign data from a large US-based mobile game developer, the authors study a global advertising shutoff in the context of mobile app install ads. Contrary to pr…

cs.HC2026

The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading

Michael Caosun, Sinan Aral

Experimental evidence suggests that AI tools raise worker productivity, but also that sustained offloading can erode expertise. This creates a tradeoff when expertise is a compleme…

cs.HC20261 cited

Personality Pairing Improves Human-AI Collaboration

Harang Ju, Sinan Aral

Here we examine how AI agent "personalities" interact with human personalities to shape human-AI collaboration and performance. In a large-scale, preregistered randomized experimen…

cs.NI2026

Explaining Sustained Blockchain Decentralization with Quasi-Experiments: The Resource Flexibility of Consensus Mechanisms

Harang Ju, Madhav Kumar, Ehsan Valavi +1

Decentralization is a fundamental design element of the Web3 economy. Blockchains and distributed consensus mechanisms are touted as fault-tolerant, attack-resistant, and collusion…

econ.GN2026

Measuring Social Media Network Effects

Sinan Aral, Seth G Benzell, Avinash Collis +1

Network effects -- the utility gains from additional consumers of a good -- are widely regarded as critical to the digital economy. Yet recent theory and evidence suggest that loca…

cs.AI2026

Teaching AI to Handle Exceptions: Supervised Fine-Tuning with Human-Aligned Judgment

Matthew DosSantos DiSorbo, Harang Ju, Sinan Aral

Large language models (LLMs), initially developed for generative AI, are now evolving into agentic AI systems, which make decisions in complex, real-world contexts. Unfortunately,…