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Data on the Human Versus artificial intelligence process management experiment.

Nicolas F Soria Zurita1,2, Joshua T Gyory3, Corey Balon4

  • 1School of Engineering Design, Technology, and Professional Programs, The Pennsylvania State University, University Park, PA, United States.

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Summary
This summary is machine-generated.

This study compared artificial intelligence (AI) process management to human process management in engineering design teams. AI process management showed comparable effectiveness to human management, offering insights for collaborative research platforms.

Keywords:
Artificial intelligenceCollaborative designComplex engineering systemsDesign teamsEngineering designHuman-computer interactionProcess management

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Area of Science:

  • Engineering Design
  • Human-Computer Interaction
  • Artificial Intelligence

Background:

  • Complex engineering tasks require effective process management for team success.
  • The integration of artificial intelligence (AI) into team management processes is an emerging area of research.
  • Understanding the impact of AI versus human process managers is crucial for optimizing team performance.

Purpose of the Study:

  • To evaluate the influence of AI process management on human design teams.
  • To compare the effectiveness of AI process management against human process management in a complex engineering problem-solving scenario.
  • To provide comprehensive datasets for further data-driven design and behavioral analyses.

Main Methods:

  • Human subject experiments were conducted with 171 participants in 31 design teams.
  • Teams were tasked with designing a drone fleet and delivery routes under either AI or human process management.
  • A collaborative research platform (HyForm) recorded team actions, communications, and design iterations.

Main Results:

  • Data sets were collected from teams managed by AI agents and human managers.
  • The study captured detailed logs of design, evaluation, sharing, and communication activities.
  • Analysis of these datasets allows for data-driven design, behavioral, and sequence-based studies.

Conclusions:

  • AI process management demonstrated comparable effectiveness to human process management in this complex engineering task.
  • The collected data provides a valuable resource for understanding team dynamics and optimizing collaborative research platforms.
  • Further research can leverage these datasets for advanced analyses in AI-assisted design and team collaboration.