Our Scholarship

We take a portfolio approach to proposal writing, and have had successful proposals from varied sources, including: Federal (NIH, the USMC), Foundational (CHPA Education Foundation, Blue Cross Blue Shield Foundation of Michigan), International (Korea Insitute of Industrial Technology), Association (Flexible Packaging Association, Sterile Barrier Association, GS1) and commercial, both as individual companies (Nestle, Abbott, Avon, Bausch and Lomb, Kraft Foods, Kellogg, Canberra) and as a consortium (Minimum Microbial Barrier Study) A complete list of proposals can be found at the end of Dr. Bix's CV

Scholarly Philosophy
I am convinced of the power that results when faculty take an active role in teaching, research and outreach. Societal issues catalyze investigations that are shared with students, stirring them to formulate further questions and seek new answers. I strive to accomplish this in my work, and take great pride in rousing curiosity in my classrooms and lab. My philosophy on teaching and learning can be accessed here.
HpIM- A frame for dealing with the numerous variables human interactions involve
We primarily focus our efforts on quantifying the interface between people and packaging, generating data that informed designs are created. Javier de la Fuente, a former HUB researcher proposed the Human/Package Information Processing Model (HPIM) as a way to organize the multitude of factors that influence these interactions. The model combines and adapts information processing theory (Dejoy, 1991) with human tool theory (Shackel, 1991), and suggests that to accomplish any task 5 stages of information processing must occur. These stages are affected by four inputs (the patient, the context of interaction, the task to be accomplished and the design of the product and package).
An interdisciplinary program
Interdisciplinary collaborations are crucial to understanding the interface between people and packaging from a perceptual, cognitive and physical perspective in order to optimize user ability and influence outcomes. As such, we collaborate with varied research teams (both from MSU and beyond) including biomechanics, cognitive and perceptual psychology, nursing, medicine and applied statistics.