Featured Post from University of Delaware

Holiday shopping season set to begin with questions about Black Friday, consumer behavior

Nov 19, 2024

2 min

Matthew McGranaghanBintong ChenPhilip Gable
CaptionResizeWrap TextRemove


Is Black Friday still a thing? Online sales have been outpacing brick-and-mortar sales for years, resulting in shorter lines and less of a frenzy at stores on the day after Thanksgiving. Many stores have also gone online with deals to compliment in-person shopping. University of Delaware experts can comment on this and other topics related to the holiday shopping season and gift-buying behavior.


CaptionResizeWrap TextRemove

Andong Cheng: Can provide tips on what to prepare for during this unique holiday shopping season. Her research focuses on defining and identifying the picky consumer segment, and explores how pickiness impacts other judgments and decisions. She advises consumers to consider the phenomenon of double mental discounting, where shoppers experience a “mental accounting phenomenon” when offered promotional credit.





CaptionResizeWrap TextRemove

Jackie Silverman: Research examines several facets of judgment and decision making and consumer psychology. According to Silverman, there are many potential benefits of online shopping for consumers, including some unconventional approaches to gift giving this season.








CaptionResizeWrap TextRemove

Philip Gable: Can talk about the science behind the art of gift-giving that goes beyond the material exchange — emotional nuances that also can be applied to charitable work and philanthropy. He says that significance contributes to the happiness we experience in gift-giving.








CaptionResizeWrap TextRemove

Matthew McGranaghan: Studies the economics of consumer attention and the indirect effects of marketing interventions. He explains that there is a difference in how businesses are innovating and utilizing online retail methods to connect with consumers this holiday season.








CaptionResizeWrap TextRemove

Bintong Chen: Can discuss the systematic nature of supply chain issues. He recommends shoppers use major retailers like Amazon and Walmart, whose companies use their own shipping fleets to minimize disruptions.









CaptionResizeWrap TextRemove

Caroline Swift: Examines supply chain transparency and the interactions between regulation and business performance.






Connect with:
Matthew McGranaghan

Matthew McGranaghan

Assistant Professor, Marketing

Prof. McGranaghan studies the economics of consumer attention and the indirect effects of marketing interventions.

Business AdministrationNeuroscienceApplied EconomicsManagementMarketing
Bintong Chen

Bintong Chen

Professor, Business Administration; Director, Institute for Financial Services Analytics

Prof. Chen's cross-disciplinary expertise includes knowledge of both business management practices, data science, and systems engineering.

OptimizationMachine LearningGame TheoryBusiness LogisticsCustomer Service Management
Philip Gable

Philip Gable

Professor, Psychological and Brain Sciences

Prof. Gable has expertise in emotion and motivational science; our sense of time, and neuroscience

Emotional TheoryMotivationNeuroscienceSocial PsychologyAutism
Powered by

You might also like...

Check out some other posts from University of Delaware

Post-earthquake crisis in Venezuela: University of Delaware experts available to discuss public health, infrastructure and relief featured image

1 min

Post-earthquake crisis in Venezuela: University of Delaware experts available to discuss public health, infrastructure and relief

Faculty from the University of Delaware’s renowned Disaster Research Center are available to comment on the back-to-back earthquakes in Venezuela. These experts can discuss critical infrastructure failures, public health threats, emergency logistics and community-led response efforts in the region. Available experts include: Jennifer Horney (Professor of Epidemiology) Focus: Public health impacts, post-disaster waterborne/vector-borne disease outbreaks and the breakdown of healthcare delivery due to damaged roads and disrupted communication networks. Tricia Wachtendorf (Co-director, Disaster Research Center) Focus: Disaster response logistics, community improvisation, neighbors as first responders and how to donate effectively to maximize impact. Sarah DeYoung (Associate Professor, Sociology and Criminal Justice) Focus: Maternal and infant health/feeding in emergencies, pet and companion animal evacuations and community-level crisis decision-making. To contact these experts directly and arrange an interview, visit their ExpertFile page and click on the contact button. Interested reporters can also email MediaRelations@udel.edu.

Decoding epilepsy, one brainwave at a time featured image

3 min

Decoding epilepsy, one brainwave at a time

Epilepsy isn’t always easy to diagnose. Seizures often don't occur during routine brain-wave recordings, leaving doctors without the direct observation they need to make a clear diagnosis. In a proof-of-concept study in mice, University of Delaware researchers and collaborators showed that using artificial intelligence to detect early warning signs hidden in the brain's electrical rhythms can identify subtle EEG differences linked to a genetic form of epilepsy, even when no visible seizures occurred. The findings, published in the Journal of Neural Engineering, set the stage for the next phase of the research, which will test the method on EEGs from children being evaluated for epilepsy at Nemours Children's Health. A dictionary of brain waves Neurologists often use EEGs to help diagnose epilepsy, but routine recordings offer only about a 20-minute snapshot of brain activity. Without a seizure captured during that window, clinicians must look for far subtler clues that can be difficult to detect visually. That's where AI comes in. “Our machine-learning approach lets the algorithm learn the brain’s ‘language’ of waveforms, spotting subtle patterns humans might miss during manual review,” said Austin Brockmeier, assistant professor in electrical and computer engineering and computer and information sciences. Starting small with a mouse model When Brockmeier presented his computational neuroscience research at a seminar, he caught the attention of Amanda Hernan, an affiliated associate professor of psychological and brain sciences and biomedical engineering at UD and senior research scientist at Nemours Children’s Health. Hernan studies how variations in brain activity affect thinking and learning in children with epilepsy. The two decided to put machine learning to the test using EEGs from mice with epilepsy-causing variations in the TSC1 gene. The researchers used a panel of more than 40 mice, including animals with and without the gene variation, across three different genetic backgrounds, or strains. They extracted EEG segments from five days of recordings from each mouse for analysis. Because the EEG segments contained no seizure activity, the algorithm had to detect differences in the brain's baseline activity alone. It was able to distinguish between the mouse strains and to detect the TSC1 gene variation with high accuracy in two of the three strains. “These results show that EEG patterns contain measurable signals of neurological differences, even without visible seizures,” Hernan said. Taking it to the clinic Now, Brockmeier and Hernan will next apply their approach to EEG recordings from children being evaluated for epilepsy at Nemours Children's Health. Pediatric EEGs are shorter than the multi-day recordings used in the mouse study, and children present with many different types of epilepsy. But the researchers are optimistic. “The goal is to identify biomarkers that flag underlying changes in the brain’s electrical activity before seizures occur,” Hernan said. Earlier detection could lead to earlier treatment and less uncertainty for families. That uncertainty, Hernan said, takes a toll. “Seizures follow natural cycles, but without a way to know where you are in that cycle, the anticipation can be incredibly anxiety-provoking,” she explained. Better pattern recognition could also improve treatment decisions. For example, if a new medication is introduced during a natural lull in seizure activity, its benefits could be overestimated. Looking further ahead, the researchers envision a future where wearable EEG devices allow continuous, real-time monitoring for those with high risk of seizures. Similar approaches could eventually be applied to other neurological conditions, including autism and ADHD. "This is a step toward precision medicine," Brockmeier said. "Brain-wave typing could help identify which interventions will work best for a given patient." For families navigating the daily uncertainty of epilepsy, that kind of precision could make a huge difference. To speak with Brockmeier and Hernan, please reach out to mediarelations@udel.edu.

UD’s happiness expert appears on NPR's Hidden Brain to explain importance of a helping hand in a stressed-out America featured image

1 min

UD’s happiness expert appears on NPR's Hidden Brain to explain importance of a helping hand in a stressed-out America

Happiness isn’t just about chasing big, exciting moments. A lot of the science points to the smaller, everyday things that help people feel connected, calm and grounded. Simple habits like helping others when we see them struggling create a bigger impact than we often expect. University of Delaware's resident "happiness expert" Amit Kumar, a psychologist and assistant professor of marketing in UD's Lerner College of Business & Economics, appeared on NPR's Hidden Brain to discuss that very topic.  Kumar discusses why sometimes it feels like we can't help others and how we can surmount those fears to build strong connections and also feel a greater sense of happiness.  To speak with Kumar about this topic, click his profile. 

View all posts
Powered by