| dc.description.abstract | This paper discusses the process of developing an online grocery website that integrates
nutritional labeling and examines the significance of nutritional labeling in customers’
purchasing behaviors. Incorporating user study and data analysis, the research aims to create a
user-friendly platform and investigate the impact of nutritional traffic light systems on
consumers’ buying decisions. Following user experience design principles, the development
process includes determining the intended user, prioritizing features using the MoSCoW
method, conducting Hierarchical Task Analysis (HTA), and then developing the prototypes
including the low-fidelity prototypes, wireframes, and high-fidelity prototypes. The
development process will utilize a scenario-based user study using wireframes to design an
effective interface to enhance the user shopping experience. The research will use a pairedsample t-test to analyze data collected from a user experiment to compare two versions of a
website using IBM SPSS software. The difference between the two versions is that version A
does not provide nutrition values meanwhile version B provides nutrition labels – specifically,
the traffic light nutrition label – for each product and a traffic light filter feature to narrow down
the products based on the nutrition label’s value. The results show that the traffic light system
does make an impact on user’s purchasing decisions. Furthermore, the research found that the
total values of calories, fat, saturated fat, sugar, and salt in consumers’ orders are lower when
using the website that provides the nutritional traffic light system (Version B). Considering the
increase in user satisfaction when using version B, it can be concluded that the traffic light
system has a positive impact on user experience. The research scope and sample size can be
extended in order to gain more insights into the impact of nutrition labels on online grocery
consumers. | en_US |
