Current Packaging HUB News

    Tony Trier will head a team of 2 HUB researchers (Monica Cai and Joseph Franke) that will collect data in San Francisco, CA May 31-June 4, 2011.

  • Abstract Trier plans to employ a methodology developed by Crick et al. to quantify the effect that pouch width has on device contamination. Industry supporters that have made this research possible include: Cardinal Health, Kimberly-Clark Health Care and Oliver-Tolas Healthcare Packaging. Researchers are hoping to collect data from over 200 nurses total. Trier has already led data collection efforts at the 58th Annual Association of periOperative Registered Nurses (AORN) Congress in Philadelphia, PN and will continue by collecting data at the Association of Surgical Technologists Conference (AST)Annual National Conference in San Francisco, CA.
    Trier and othter HUB researchers will also be collecting data closer to home, traveling to Pontiac Regional Medical Center in Pontiac, MI in further support of his Master's efforts.
  • h4 class="publications-title">HUB Researcher, Doug Furgason selected to present a poster at UURAF
  • Abstract
  • Two design elements (a "box" for a warning and the position of a warning) will be tested for an effect of the attentive behaviors on two populations (older and younger consumers). The dependent variables of interest are time in warning zone, time to "first hit" to the warning zone and number of hits to the warning zone. Testing will be conducted using the pan tilt optics of our Applied Science Laboratories eye tracker.
  • HUB Researcher, Raghav Prashant Sundar, selected for sponsorship to upcoming Institute of Food Technologist (IFT) conference where he will be an honored guest at the Food Laws and Regulations Division Luncheon. This is in large part due to his proposed PhD work, which will investigate the impact of Front-of-Pack labeling on the attentive behaviors of adults.

  • Abstract Obesity is associated with increased mortality, morbidity, and increased health care costs. Curbing the obesity epidemic by altering people's food choices would have substantial health and economic benefit. It has long been believed that one way to promote healthy eating is to provide consumers with nutritional information in the form of a nutrition facts panel (NFP) displayed on product packaging. Research on the effectiveness of this approach suggests that the traditional NFP labels are effective in promoting healthy food choices when people process the information, but that too few people attend to, encode and understand the information presented in traditional NFP labels. In an attempt to increase the positive impact of nutritional labeling, there has been a push to adopt front of panel (FOP) nutritional labels. These FOP labels present information about a few key nutrients on the front of the package, or Principle Display Panel (PDP), and include a combination of small text, icon, and/or color systems that are designed to quickly capture the attention of the consumer. Although this approach is intuitively appealing, there is little objective, experimental support validating that FOP labels result in more attention to and processing of nutritional information. Additionally, the format for presenting information in these FOPs has not been based on basic research about attention and cognitive processing. Our proposal applies basic research on visual cognition to the design of a novel FOP format that is optimized to capture attention and will require few cognitive resources to encode, comprehend, and use. Empirical methods traditionally used in basic research on attention and visual cognition (e.g., eye-tracking, change detection, and incidental memory tasks) are used to evaluate how well different FOP designs attract attention to nutritional information, induce encoding of information into memory, and facilitate rapid, cross-product nutritional comparisons. Optimizing the delivery format in this way should produce a label that successfully communicates nutritional information to a greater segment of the population, thereby empowering more people to make healthful dietary decisions, ultimately reducing obesity rates. The proposal applies basic research on visual attention and cognition to the design and evaluation of effective techniques for presenting nutritional information on food packages. An optimal label will attract attention to itself and communicate substantial nutritional information with little cognitive effort. A label that effectively accomplishes these goals will empower people to make more healthy dietary decisions, thereby reducing obesity rates.
  • HUB Authors Two Articles for Forthcoming 3rd Edition of the Wiley Encyclopedia of Packaging Technology

  • Two chapters authored by members of the Human Factors and Medical Packaging Research Group will be published in the forthcoming 3rd Edition of the Wiley Encyclopedia of Packaging Technology. Researchers from the group served as coauthors on "Medical Packaging," and "Packaging Design and Development." The book is expected to be published next year.
  • HUB Receives Mobile Eye Tracker

  • This summer, the HFMPRG team purchased and received a new Applied Science Laboratories (ASL) Mobile Eye Tracking unit. The unit, which employs dark pupil technology, expands our current eye tracking capability so that we can now conduct studies "on location." This unit augments the ASL 501 and 504 eye trackers previously owned by the team. The first study employing the new unit will likely be conducted by HFMPRG researcher Chris Steckler. Chris plans to employ the instrument in pharmacies to evaluate the effectiveness of overt authentication features for ethical pharmaceutical products.

    HUB Creates Change Detection Software

  • HFMPRG member Raghav Prashant Sundar has created a new flash program which expands the capabilities of our team to provide "change detection" tests of package labels. The software, based on parameters described in the cognitive psychology literature, "flashes" one image over a second at predetermined intervals with a "blank" screen between the images. Images are identical with a slight variation. The dependent variable of measure is the time to detect changes. HFMPRG researcher Carly Dehenau will employ Sundar's program in her Master's work, which will examine the effect of TALLMAN lettering on the noticeability of labels.