Dyads and triads at 35,000 feet: Factors affecting group process and aircrew performance.
Abstract
The task of flying a multipilot transport aircraft is a classic small-group performance situation where a number of social, organizational, and personality factors are relevant to important outcome variables such as safety. The aviation community is becoming increasingly aware of the importance of these factors but is hampered in its efforts to improve the system because of research psychology's problems in defining the nature of the group process. This article identifies some of the problem areas as well as methods used to address these issues. It is argued that high fidelity flight simulators provide an environment that offers unique opportunities for work meeting both basic and applied research criteria.
Cited by (11)
- Enhancing the Effectiveness of Work Groups and TeamsKozlowski, Steve W.J., Ilgen, Daniel R. · 2006 · Psychological Science in the Public Interest
- Teamwork as an Essential Component of High‐Reliability OrganizationsBaker, David P., Day, Rachel, Salas, Eduardo · 2006 · Health Services Research
- Metaphor No More: A 15-Year Review of the Team Mental Model ConstructMohammed, Susan, Ferzandi, Lori, Hamilton, Katherine · 2010 · Journal of Management
- The Effects of Acute Stress on Performance: Implications for Health Professions EducationLeBlanc, Vicki R. · 2009 · Academic Medicine
- Towards a cognitive approach to human–machine cooperation in dynamic situationsHOC, JEAN-MICHEL · 2001 · International Journal of Human-Computer Studies
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Dyads and triads at 35,000 feet: Factors affecting group process and aircrew performance. https://app.cochat.ai/papers/10.1037//0003-066x.39.8.885
- The paper
- Foushee, H. C. (1984). Dyads and triads at 35,000 feet: Factors affecting group process and aircrew performance. American Psychologist. https://doi.org/10.1037//0003-066x.39.8.885
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.