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Mit Sloan School Of Management Papers

0 research papers from Mit Sloan School Of Management that used Prolific for participant recruitment.

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Mit Sloan School Of Management

Mit Sloan School Of Management: Research Institution — Prolific Citations Library

Browse 2 peer-reviewed papers from Mit Sloan School Of Management spanning Human-AI Collaboration, Teamwork (2022–2025). Research powered by Prolific's high-quality participant data.

This page lists 2 peer-reviewed papers from researchers at Mit Sloan School Of Management in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (2 of 2)

Collaborating with ai agents: Field experiments on teamwork, productivity, and performance

Authors: H Ju, S Aral

Year: 2025

Published in: arXiv preprint arXiv:2503.18238, 2025 - arxiv.org

Institution: Johns Hopkins Carey Business School, MIT Sloan School of Management

Research Area: Human-AI Collaboration, Teamwork, Organizational Productivity

Discipline: Human-AI Interaction

Collaboration with AI agents increases productivity, reshapes communication patterns, and improves text quality while human teams excel in image quality; AI requires fine-tuning for multimodal workflows.

Methods: Large-scale randomized controlled trials using Pairit platform with human-human and human-AI teams performing collaborative marketing tasks.

Key Findings: Productivity, communication patterns, workflow processes, ad quality (text and image), and ad performance metrics.

DOI: https://doi.org/10.48550/arXiv.2503.18238

Citations: 14

Sample Size: 2310
How many others have shared this? Experimentally investigating the effects of social cues on engagement, misinformation, and unpredictability on social media

Authors: Z Epstein, H Lin, G Pennycook, D Rand

Year: 2022

Published in: arXiv preprint arXiv:2207.07562, 2022 - arxiv.org

Institution: MIT Media Lab, University of Regina, Sloan School of Management, Massachusetts Institute of Technology

Research Area: Social media, Misinformation, Human-Computer Interaction

Discipline: Computational Social Science

DOI: https://doi.org/10.48550/arXiv.2207.07562

Citations: 32