Monday, October 20th, 2014

Dr. Lynn Miller, PhD, Speaking at CHIP Thursday, May 2, 2013

April 26, 2013 by  
Filed under CHIP Today

On Thursday, May 2, from 12:30 – 1:30 pm, we finish the spring lecture series with Lynn C. Miller, Ph.D.,  Professor at the Annenberg School of Communication at University of Southern California who will talk about “Socially Optimized Learning in Virtual Environments (SOLVE): The Promise of Interactive and Intelligent Technologies for Reducing Risky Sexual Behaviors.”  It is co-sponsored by the Connecticut Children’s Medical Center, and UConn Department of Psychology.

The lecture will be in Video Conference Room 204 on the second floor of Ryan at 2006 Hillside Road at the University of Connecticut in Storrs.  For a map of the area, look at http://www.chip.uconn.edu/about/directions-to-chip/.

You can also view this talk streamed live during or after the lecture at the following link: http://www.chip.uconn.edu/lecture-5-2-13.

Lynn Miller Ph.D. is Professor at the Annenberg School for Communication and the Department of Psychology at USC specializing in understanding the dynamics of persons and situations impacting behavior.  With over 74 publications, she is/was PI on grants (i.e., NIMH, NIAID, CDC, UARP), mostly involving HIV prevention, totaling over $11M and a Co-PI/senior scientist on grants exceeding an additional $2M. Starting in 1990 when she received her first grant to develop and test interactive interventions to prevent HIV, she has been using new technologies to understand and change risky sexual behavior for at-risk populations. She is currently PI (Co-PI: S. Read, P. Appleby, S. Marsella, & L. Clark), of an NIMH R01 grant entitled, SOLVE IT- Real Risk Reduction for MSM. The team developed and is testing a longitudinal intervention designed to challenge and change more automatic and deliberative risky decision-making and behavior using intelligent agents (with realistic goals, beliefs, actions, and “theory of mind”) within a gaming environment that simulates “real life.” It was delivered nationally “on line” and follow-up tests are currently being completed on-line. She also explores how evolutionary processes, including attachment processes, may underlie sexual behavior, and has leveraged some of that work in developing and using theoretically and biologically inspired computational methods to test dynamic models of personality and social behavior.

In another current grant funded by NIDA (PI: Stephen Read; Co-PI Lynn Miller) the brain patterns (using fMRI) of different groups of MSM while playing the SOLVE game can be compared (how do differentially at-risk MSM respond to risk situations in the game) and those patterns can be related to Read and Miller’s biologically inspired computational models of the users. Additional interdisciplinary projects with Stephen Read and military/corporate collaborators include: (a) the development of biologically-inspired social computational models/cognitive architectures for intelligent agents with personality and emotion (for games), (b) applications that test/use intelligent agents for individual, military, and organizational decision-making (funded by NPRST/Dept. of Navy), and (c) applications that test/use intelligent agents with biologically inspired personality and emotions for robotics applications (funded by ONR/Dept. of Navy).

Recipient of a series of awards and honors (e.g., Gerald R. Miller Early Career Award from the International Network of Personal Relationships; Provost’s Fellow at the Center for Interdisciplinary Research at USC; Recipient of two interdisciplinary grants at USC with Jerry Mendel that fostered breakthroughs, such as Fuzzy Logic II, in engineering), she was PI on i-SOLVE (Socially Optimized Learning in Virtual Environments), a finalist interdisciplinary team proposal for an NSF Science of Learning Center, and has been an invited speaker, consultant, and/or panelist for the National Science Foundation, National Institutes of Health, Department of Defense (NPRST), Department of Homeland Security, and the Centers for Disease Control and Prevention.

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