Xinyu Fu

Xinyu Fu

Assistant Professor at Robinson College of Business, Georgia State University

I am an Assistant Professor at the Department of Computer Information Systems in the Robinson College of Business, Georgia State University. My research focuses on human-artificial intelligence (AI) complementarity. This involves collaboration between humans and AI systems, building on each other’s strengths, and compensating for each other’s potential weaknesses. I investigate the conditions and processes through which humans can complement AI (e.g., by detecting AI’s errors and improving overall performance) and AI can empower humans (e.g., by eliminating laborious, ergonomically inconvenient, and monotonous work). Furthermore, I investigate organizational and environmental challenges in designing human-AI collaboration configurations (e.g., data control and behavioral tracking policies).

At GSU, I am a co-faculty advisor for the Women in Technology(WIT) @ GSU Chapter, which is an influential community committed to empowering and inspiring women in the technology industry. Our mission resonates with innovation, inclusion, and the advancement of women across all areas of technology. Whether you’re interested in recruitment, offering internship opportunities, or contributing through donations, please feel free to reach out to me. We are excited to work with you, utilizing your support to help women unlock their potential, cultivate their talents, and make their mark in the tech world.

I received my PhD of the Information Systems & Technology Management from Katz Graduate School of Business, University of Pittsburgh, where I was advised by Professor. Narayan Ramasubbu and Professor. Dennis Galletta.

Recent work

  • Fu, X., Ramasubbu, N., & Galletta, D. Managing imperfect algorithms: Error detection in collaborative human-AI decision making processes.
    • Improved error anticipation increases users’ perceived responsibility to monitor an imperfect algorithm, and enables users to improve their decision quality.
    • Presented at INFORMS 2022, ICIS 2021, WAIM 2019.
  • Fu, X., Ramasubbu, N., & Galletta, D. Empowering females in manufacturing: An investigation of collaborative robotics deployment and gender gap.
    • A theory development case study about how collaborative bots (cobots) improve female workers’ labor force participation and address wage-related inequality.
  • Fu, X., Janansefat, S., Ramasubbu, N., Kemerer, C., & Galletta, D. Misaligned signals and exploration behaviors in music streaming platforms: A field experiment.
    • Content displayed with misaligned social signals is perceived with high uncertainty, which motivates users to conduct further exploration.
    • Combined field and lab experiments.

Awards and Grants

  • Ben L. Fryrear Doctoral Fellow, 2021-2022 (annually awarded to one PhD student)
  • Doris & Douglas Bernstein Doctoral Student Teaching Award, 2021 (one student per year)
  • International Conference on Information Systems (ICIS) Doctoral Consortium Fellow, 2021
  • ICIS Doctoral Consortium Most Valuable Player (MVP) in Breakout Group Charlie, 2021
  • Chinese Government Award for Outstanding Self-financed Students Abroad, 2021
  • Carnegie Mellon University Hack-a-Startup Competition First Place, 2018
  • Giant Eagle Fellowship, 2017-2022
  • Pitt-Renmin University of China Joint Research Seed Funding, $10,000, 2019
  • NSF Travel Grants for the Work in the Age of Intelligent Machines (WAIM) Conference, 2019
  • Dean Office Research Funding, $2,000, 2018-2019
  • Katz School Academia Conference Travel Grants, 2017, 2018, 2019, 2021, 2022
  • University of Pittsburgh GPSG Academic Travel Grants, 2018
  • Renmin University of China Scholarship for Research Excellence, 2017
  • Jingdong (JD) Scholarship for Academic Excellence, 2017

Professional Experience

Education

  • Ph.D in Information Systems and Technology Management, Katz Graduate School of Business, University of Pittsburgh, 2023
  • B.S. in Human Resource Management, Renmin University of China, 2017