Human-Computer Interaction Research Labs

Interface Ecology Lab

The Interface Ecology Lab investigates the future of human expression, focusing on creativity, play, participation, and learning. We develop interdisciplinary research and education from our home in the Texas A&M Department of Computer Science and Engineering.

McNamara Lab

McNamara Lab conducts research in Computer Graphics, particularly in the application of visual perception to accelerate and improve computer graphics, animation & visualization.

Mixed-Initiative Design Lab

We are the Mixed Initiative Design Lab (MIDL, pronounced “middle”) in the Department of Mechanical Engineering at Texas A&M University. We develop novel computational frameworks for the representation, presentation, and manipulation of information pertaining to the design of digital artifacts. Our research is currently positioned at the interface of computer-aided design, geometry & image processing, and human-computer interactions. Having said that, our work thrives on the integration and inclusion of unexplored technologies, methods, and interfaces with one goal: augmenting human expression and creativity in product, industrial, and engineering design.

Soft Interaction Lab

The INDIE (INteractive Data and Immersive Environments) group focuses on the design and evaluation of applications and techniques that support effective interaction and understanding of data, information, and virtual environments. Research areas include (but are not limited to) information visualization, virtual reality, 3D interaction, visual analytics, and educational technology.

Sketch Recognition Lab

Our mission at the Sketch Recognition Lab includes activity recognition algorithms that can identify and understand a person’s behavior and actions, and infer and predict a person’s intentions and future choices; and wearable technologies and sensors that enhance a person’s senses, communicate environmental and personal information to the wearer, help people be more cognizant of their environment, and enable people to make better choices.


TEILab focuses on interaction research based on the premise that humans are embodied beings. Essentially, if the human mind is ‘designed’ to function in a physical, spatial, temporal, and social world, how do we account for such higher-level thinking as abstraction, learning, creativity, self-identity, and motivation. For Human-Computer Interaction research, our question becomes how one might design technology to support such higher-level functions around the principles of human embodiment.