"Experiences with collaborative, distributed predictive human performance modeling" receives Best Paper Award at CHI 2012 for a CogTool case study.

Bonnie E. John and IBM Software co-authors Sonal Starr and Brian Utesch have received a CHI Best Paper Award for their paper about predictive human performance modeling in a real-world design project.

The paper, "Experiences with Collaborative, Distributed Predictive Human Performance Modeling: Long Case Study," describes the team's adaptation of CogTool for use in a collaborative, distributed UX analysis environment.

The paper addresses improvements in model construction, the management of assumptions, consistency, and communication, and suggests design improvements for the future of CogTool and comparable modeling tools.

CogTool lets developers mock up user interfaces so they can predict how long it might take a skilled user to accomplish tasks on that interface.

John (pictured) will present the paper on May 8 at CHI 2012 in Austin, Texas.

The ACM SIGCHI Conference on Human Factors in Computing Systems is an international conference on human-computer interaction. CHI 2012 focuses on the centrality of user experience in the design and innovation of models and theories.

Read the paper abstract on the CogTool website.