About

New Student Recruitment Information 

Dr. Wiese will be recruiting students for Fall 2027.

My overarching research mission is to improve human flourishing by conducting meaningful and transformational research. While my primary training is in Industrial-Organizational Psychology, my research approach is not confined to studying the human condition at work. I take an interdisciplinary, person-centric, future-looking approach to examining the human experience across various contexts. Specifically, my work is organized around two central themes: Well-Being and Teams.

For more information about my current research projects, please visit The Foundation Lab page 

About

My overarching goal is to ensure that technology is developed with the end user in mind. All aspects of design, implementation, adoption, and use of a system or device can be enhanced by considering the perceptual, cognitive, and social needs and abilities of those who will use it. Research in my Sonification Lab focuses on three main areas:

1. Sonification and auditory displays. 
Determining which type of display is appropriate for a system, and then how best to implement it, is a growing challenge, especially as devices continue to shrink in size. The use of sound to communicate information has become more common, but there is little theory to guide auditory display designers. Therefore, we study the perception and understanding of auditory displays, and helping to build up both the theoretical and practical foundations. In particular, our lab studies sonification, the use of sound to display and analyze scientific data. Our findings about how listeners interpret these auditory graphs is leading to more effective data exploration tools, for both sighted and visually impaired researchers and students. 

2. Human-Computer Interaction (HCI) in Non-Traditonal Interfaces.
In situations where there is not necessarily a monitor, keyboard, mouse, etc., what are the best ways to create a successful interaction between the user and the system? Designers need to "think outside the box" and utilize novel interaction style, non-traditional interfaces, and make use of all sensory modalities. Certainly auditory displays fit into this category. However, tactile, voice, and vibration interfaces also apply, as do many others we have not even imagined yet! 

3. Psychological and social factors in the adoption and use of technology.
When first introduced, any new technology will raise both fears and excitement. What are the traits that help a new technology to become accepted and adopted by users so much that it becomes part of our daily lives (e.g., telephones, microwaves, electronic mail)? I am beginning to examine the many factors that contribute to the evolution of a device from "new technology" to "household appliance".

Some other areas of my recent research include: HCI in unique task environments such as the International Space Station; delivery of government services through various channels (Web, telephone, and touch-screen kiosks); stimulus-response compatibility in the design of interface controls; and the use of sound in the teaching of statistical concepts.

There are multiple studies are always underway, in topics ranging from driving to decision making to adoption of technology, linguistics, creativity, assistive technology, human-AI-robot teaming, and more. For more information visit: 

GT Sonification Lab : Sonlab : sonlab@gatech.edu 
GT VRlandia Lab for VR/AR Research : Vrlandia : vrlandia@gatech.edu

About

Dr. Christopher Stanzione serves as Faculty Director of the EXPLORE Living Learning Community and Principal Academic Professional in the School of Psychological & Brain Sciences. He leads initiatives that connect students with research, leadership, and pre-health opportunities while advancing undergraduate education, student success, and experiential learning.

About

Cognitive control refers to the set of processes by which we direct our actions toward a specific goal. At the most basic level, control processes allow us to translate a presented stimulus into an appropriate motor action. However, these processes and representations quickly become more complex when trying to understand more involved behaviors such as learning peoples names or watching and understanding films. Research in our lab investigates both the cognitive and the neuroscientific aspects of the processes and representations required to carry out flexible behavior across a wide variety of domains.

About

My early research examined neural mechanisms of sensory-based recollections. I have also become interested in understanding how memory operates under varying demands on attention, and how we arrive at decisions that are based on our memories and perceptions. The lab has been studying perceptual decision making in order to identify neural signals related to different stages of the decision process. We have recently been building from our early research in this area to study how memory, attention, and decision-making abilities change in healthy aging. We use psychophysical, modeling, and brain imaging approaches to study these topics. Recently, our research has been funded by the Alzheimer’s Association, the National Institute of Mental Health, and the National Science Foundation.

About

The fundamental premise of my work is that computational models from cognitive psychology and cognitive science can be adapted to provide testable process models of decision-making phenomena and optimized to support the decision-making of professionals. I direct the Decision Processes Laboratory (DPL). The DPL utilizes a range of experimental methodologies (behavioral, eye-tracking, EEG) and computational techniques (statistical, mathematical, neural networks) to investigate decision-making phenomena. Much of our applied work concerns the study and measurement of expertise; primarily in the areas of performance evaluation and the development of decision support tools. One area of specialization is the development of computational models that describe how people, generate hypotheses to explain patterns of data, which is common in everyday problem solving; and it is the basis for decision-making in many disciplines, such as medical diagnosis, criminal investigation, intelligence sensemaking, software debugging, and scientific discovery. We also seek to optimize models of human hypothesis generation to serve as decision support tools to aid the diagnostic decision-making of professionals and to improve the robustness of existing applications of artificially intelligent classification systems.

About

I received my degree from Washington University in St. Louis. After moving around a bit (Binghamton University and Stanford University)I arrived at Georgia Tech in 2001. I'm a member of the Cognition and Brain Science, Cognitive Aging, and Quantitative Psychology areas of the department.