Received an IBM Faculty Award for his work on Human Centered Automation as part of their initiatives on "Autonomic Computing" to connect the increases in adaptive computing infrastructure to human supervision.

Co-editor of a special issue of IEEE SMC on Using Field Studies to Understand Technical Work in Healthcare. The studies will appear in IEEE SMC Part A in November 2004 edited by Chris Nemeth, Richard Cook and David Woods.
The introduction to the papers is intro to special issue pdf

New synthesis of key aspects of team coordination. Joint activity depends on mutual predictability of the participants’ attitudes and actions which is based on common ground—pertinent knowledge, beliefs and assumptions that are shared among the involved parties. Joint activity assumes a basic compact, which is an agreement (often tacit) to facilitate coordination and prevent its breakdown. One aspect of the Basic Compact is the commitment to some degree of aligning multiple goals. A second aspect is that all parties are expected to bear their portion of the responsibility to establish and sustain common ground and to repair it as needed. Joint Activity pdf

These concepts are applied to human-automation team work as 10 Challenges in Ten Challenges pdf

Part of a team with OSU Computer Vision researchers that won an intense competition under NSF's Information Technology Research for National Priorities (ITR) program for a $1.3 million project on Multi-level, Active Attention Surveillance.

This is in an important recognition of the scientific value of CSEL work on event pattern recognition and collaborative autonomy in human-machine decision making.

Also example of successful interdisciplinary work, as stated in the NSF reviews and summary, “The review panel was very impressed with the well-integrated multidisciplinary team assembled to execute this research.” "Their multi-disciplinary team has formed a coherent research proposal that effectively leverages the capabilities inherent in each discipline to pursue a common goal." "systems such as that proposed here, that augment the capabilities of humans -- based on recognition and understanding of the limitations of the human sensory and cognitive systems -- will be essential in a world where data stream growth far outstrips the capabilities of humans to process directly."