User well-being refers to an emotional and cognitive response that consumers generate in consumer experience, including three characteristics, which are consumer satisfaction, positive emotion, and perceived quality of life.
How Smart Shopping Cart Drive Healthier Food Choices Among Young Consumers
Published in Conference paper; Information and Communication Technologies for Ageing Well and e-Health (2023/2024)
This study demonstrates that smart shopping carts equipped with real-time, personalized, and dynamic stimuli can effectively encourage young consumers to make healthier food choices.
Enhancing Healthier Online Food Choices: Digital Signals for Sustainability and Consumer Segments
Published in Australasian Marketing Journal (2024)
This study highlights the importance of digital quality signals, such as product ratings, in influencing consumer preferences in purchasing fresh fish online, identifying four distinct customer segments with varying priorities, including value for money, sustainability, speed and quality.
Impact of Digitalized Front-of-Package Food Labels on Healthy Food-Related Behavior
Published in Behavioral Sciences (2022)
This systematic review found that digitalized static and physical front-of-package (FOP) food labels hav a similar impact on healthy food-related behavior, while technology-enabled labels are more effective than interactive labels in promoting healthier choices
Academic Procrastination and Online Learning During the COVID-19 Pandemic
Published in Procedia Computer Science (2022)
This study explores how academic procrastinators impacted online learning during the COVID-19 pandemic. Specifically, it reveals that procrastinators struggled more with motivation and had lower satisfaction with learning outcomes compared to non-procrastinators.
Exploring the Adoption and Use of Health-related Mobile Apps: Insights from Experiences Users
Published in Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (2021)
This qualitative study explores the factors influencing the adoption and continued use of mobile health apps. In particular, it identifies triggers such as life situation and perceived satisfaction, drivers like personalization and progress tracking and barriers such as perceived data risks and time consumption.
An Introduction to the Special Section on “Health, Technology, & Behavior Science”
Published in Health, Technology & Behavior Science (2020)
This section examine the intersection of health, technology and behavior science, highlighting research on using technology to study and improve health behaviors. It shows how behavior science can enhance the design of effective health interventions.
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