Independence or Interaction? Understanding the Benefits and Limitations of Nominally Inspired and Interacting Sub-Structured Teams in a Virtual and Interdisciplinary Engineering Design Task

Abstract

Teams are common throughout engineering practice and industry when solving complex, interdisciplinary problems. Previous works in engineering problem solving have studied the effectiveness of teams and individuals, showing that in some circumstances, individuals can outperform collaborative teams working on the same task. The current work extends these insights to novel team configurations in virtual, interdisciplinary teams. In these team configurations, the whole meta-team can interact, but the sub-teams within them may or may not. Here, team performance and process are studied within the context of a complex drone design and path-planning problem. Via a collaborative research platform called HyForm, communication and behavioral patterns can be tracked and analyzed throughout problem solving. This work shows that nominally inspired sub-structured teams, where members work independently, outperform interacting sub-structured teams. While problem-solving actions remain consistent, communication patterns significantly differ, with nominally inspired sub-structured teams communicating significantly less. Questionnaires reveal that the manager roles in the nominally inspired sub-structured teams, which are more central in communication and information flow, experience a greater cognitive and workload burden than their counterparts in the interacting sub-structured teams. Moreover, members in the nominally inspired sub-structured teams experience their teams as inferior on various dimensions, including communication and feedback effectiveness, yet their performance is superior. Overall, this work adds to the literature on nominal versus interacting problem-solving teams, extending the finding to larger, interdisciplinary teams.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 10, 2023
Source ID
10.1115/1.4056597

Entities

People

  • Christopher McComb
  • Jonathan Cagan
  • Joshua T. Gyory
  • Nicolás F. Soria Zurita

Organizations

  • Air Force Office of Scientific Research
  • Carnegie Mellon University
  • Defense Advanced Research Projects Agency
  • Pennsylvania State University
  • Universidad San Francisco de Quito

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • International Relations, focusing on Korea-Africa and North Korea-South Korea relations, and Nigeria-Latin American Relations.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction