About Us

iLux, leaders in innovative learning and user experience

What Makes iLux Unique?
iLux is equipped with the most advance EEG monitoring and eye-tracking technology as well as the highly trained personnel to operate it. The difference with iLux is that there are no limits to your testing needs. We are capable of running equipment in all conditions whether it be in a lab a controlled lab setting, on a mobile device, or even with our mobile equipment for use out in everyday life. Our portable equipment allows us to conduct research in a variety of environments

What is iLux?
”I” stands for innovation and Lux is the measure of illumination. Here at iLux we shed light on usability issues that face our clients. Using state-of-the art equipment and techniques, we are able to provide clear, accurate, and objective data that goes beyond personal opinions and assumptions.

Who is iLux?
iLux is on the campus of Arizona State University. Located in the heart of a rich ongoing research environment consisting of the most qualified staff. Our consultants can assist you with research design, data analysis and visualization, and PhD-level advice by qualified, publishing researchers.

How iLux can help you!
With our wide variety of equipment and researchers, ilux will help you identify and discover a solution to your problem! You get to choose from our vast set of tools and technology to decide exactly what you need. The choice is yours!

  • Innovation

    ASU was ranked #1 most innovative university of 2015

  • 100% mobile capability

    The equipment at iLux is designed to accomidate studies in any enviornemnt. You can learn more in the sections below.

  • User Experience Design

    User experience design (UX, UXD, or UED) is the process of enhancing user experience by improving usability, accessibility, and pleasure from interaction

Know what customers think about your product.

Tools & Services


Sensors placed on the surface of the scalp non-invasively record electrical channels sampled at 256 times per second. Raw brain responses can be translated into measurements of attention, excitement, engagement, frustration or cognitive load. Data can be synchronized with eye tracking, galvanic skin response, and facial expression data to produce a complete array of evidence of user response to stimuli.

Eye Tracking

Infrared cameras capture visual attention and fixation. By recording eye movement, eye tracking technology is able to record fixation points and how long a user gazes at certain elements. This data can be used to create heat maps of focus by users. Eye tracking can be used in coordination with EEG and galvanic skin response.

Lab Environment

iLUX provides a state-of-the-art lab environment located at the Ira A. Fulton Schools of Engineering at Arizona State University in Tempe, Arizona. A complete range of equipment, trained technicians, data analysts, and consultants are available for research ranging from website and device usability to shopper and advertising and biomedical.

Data Mining and Data Analysis

In coordination with the Arizona State University School of Computing, Informatics, and Decision Systems Engineering, iLUX is able to provide state-of-the-art data mining and data analysis services that can help you make sense of and visualize the data you are gathering.

Experimental Design and Results Interpretation

iLUX provides expert consultation with PhD researchers to assist in the construction of experiments with a high degree of validity and reliability with proper controls and isolation of variables to ensure results that are publishable and defendable.

Equipment & Software

Our Team

Dr. Robert Atkinson
Dr. Robert Atkinson is an Associate Professor with a joint appointment in the School of Computing, Informatics, and Decision Systems Engineering in the Ira A. Schools of Engineering and the Division of Educational Leadership and Innovation in the Mary Lou Fulton Teacher’s College. His research explores the intersection of cognitive science, informatics, instructional design, and educational technology. He earned in Applied Cognitive Science PhD degree from University of Wisconsin – Madison with a minor in statistics and research design.
Helen Chavez-Echeagaray
Helen is interested in Affective Computing, Educational Technology, Learning Processes and Software Engineering. Before her PhD program she was a faculty member in the Computer Science Department at the biggest private university in Mexico for eight years.
Irfan Kula
Irfan has 10 years of experience in instructional design, content development, and evaluation experience in educational technology and e-learning solutions. Since 2008, Irfan has worked at Arizona State University to develop effective interactive tutoring and learner assessments tools for K-12 learners. His data analysis reveals significant gains in student comprehension.
Gustavo Lujan Moreno
He has an interest in data-mining, statistical process control, regression, and design of experiments. He holds a M.S.E. in Industrial Engineering with specialization in Quality Systems and Productivity.

Get in touch

Feel free to contact us with any questions.