Jessica Tobias

United States Air Force Academy

Papers

1

Total Citations

11

H-Index

1

About

Jessica Tobias is a pioneering researcher in human-machine teaming and socially intelligent artificial agents, with a focus on conflict mediation and collaborative decision-making. Her most-cited work, "Conflict Mediation in Human-Machine Teaming: Using a Virtual Agent to Support Mission Planning and Debriefing" (2019, 11 citations), explores how virtual agents can facilitate planning and debriefing processes in military and professional environments. This study demonstrated that socially intelligent agents can effectively mediate conflicts within human teams, enhancing mission outcomes and team cohesion. Tobias’s research addresses the critical challenge of integrating AI into human-led teams, particularly in high-stakes settings where trust and communication are paramount. Her contributions have laid groundwork for designing agents that not only assist but also resolve disputes, a key step toward seamless human-robot collaboration. By examining the role of AI in planning and debriefing, she has advanced understanding of how autonomous systems can support, rather than disrupt, group dynamics. Tobias’s work is essential reading for researchers in human-robot interaction, AI ethics, and team cognition, offering practical insights for developing agents that foster cooperation in complex, real-world scenarios.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Conflict Mediation in Human-Machine Teaming: Using a Virtual Agent to Support Mission Planning and Debriefing
11 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: United States Air Force Academy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago