Beau G. Schelble

Papers

Total Citations

H-Index

About

Beau G. Schelble is a rising scholar at the forefront of human-agent teaming, a field exploring how humans and AI collaborate as teammates. His research centers on designing AI systems that integrate seamlessly into human teams, with a particular focus on the social and psychological dynamics of these interactions. Schelble’s most cited work, “Understanding the impact and design of AI teammate etiquette” (2023, 20 citations), makes a pivotal contribution by demonstrating that incorporating interaction rules and structures—etiquette—into AI teammates significantly enhances human trust and team performance. This finding challenges purely technical AI design approaches, arguing that social norms are critical for effective collaboration. By bridging human factors and AI engineering, Schelble provides actionable frameworks for developing AI that is not only capable but also socially intelligent. His work is already shaping how researchers and practitioners build AI for high-stakes environments like healthcare, defense, and emergency response. As a young investigator, Schelble’s focus on etiquette-driven AI design positions him as a key voice in ensuring that future human-AI teams are both efficient and trustworthy.