Thomas Erickson

IBM Research - Thomas J. Watson Research Center

Papers

Total Citations

H-Index

About

Thomas Erickson is a leading voice in the study of human-agent collaboration, a field he has helped define by drawing a critical distinction between mere interaction and true collaboration. His seminal 2017 work, “Human-Agent Collaboration” (28 citations), argues that effective partnership with AI requires mutual goal understanding, preemptive task co-management, and shared progress tracking—concepts that have shaped subsequent research in cooperative AI systems. Erickson’s contributions extend beyond this foundational paper; he is widely recognized for his pioneering ethnographic studies of online communities and his work on designing systems that support social awareness and informal communication. His research has influenced the development of collaborative technologies in both academic and industrial settings, earning him a reputation for bridging human-centered design with computational systems. With a career spanning decades, Erickson’s insights continue to guide researchers and practitioners seeking to build AI that works with people, not just for them. His work remains essential reading for anyone exploring the future of human-machine teamwork.