Stine-Morrow Named HCII Co-chair

Elizabeth Stine-Morrow, Beckman full-time faculty member, joins Mark Hasegawa-Johnson as co-chair in the Human-Computer Intelligent Interaction (HCII) research theme.

Stine-Morrow, a professor in Educational Psychology, has been at the Beckman Institute since 2002. Her research focuses on cognition and the capacity for learning throughout the lifespan. She heads the Adult Learning Lab at the Beckman Institute, which examines adult age differences in learning and language processing. Major projects in the lab include those on self-regulated learning, adult literacy learning, and the Senior Odyssey, in which adults over age 60 engage in team-based creative problem-solving activities.

As co-chair, Stine-Morrow hopes to build upon the work of her predecessors, Dan Morrow, who resigned to become chair of the Department of Educational Psychology, and Thomas Huang, the original co-chair of HCII, and longest serving co-chair at the Beckman Institute.

“HCII has a history of impactful research and strong research leadership,” said Stine-Morrow. “Tom and Dan will be hard acts to follow.

“Mark and I have started talking about plans for next year, and would like to crystallize efforts along two lines that we are particularly passionate about. One initiative will be called Cognition, Lifespan Engagement, Aging, and Resilience (CLEAR), which will focus on pathways to successful aging, including technology-based forms of engagement. The other initiative will be called Technology for Interventions and Education (TIE), which will focus on the design of technology for promoting health, well-being, and opportunities for learning.”

HCII seeks to explicate the mechanisms of human perception, cognition, and action that are relevant to industrial, military, and consumer products. Projects in the area involve the close collaboration of computer scientists, psychologists, electrical engineers, neuroscientists, linguists, educators, and others in pursuit of knowledge relevant to the design of interfaces for human-computer systems.

A major research goal is the integration of engineering and computer science with models of cognition and human performance. Human-Computer Intelligent Interaction faculty, graduate students, and postdoctoral researchers in these fields join together to develop formal models of human perception, cognition, and action, as well as to design and construct hardware and software interfaces that are informed by these models.