User Interface Analysis of Gapura Universitas Multimedia Nusantara Website

The user interface (UI) of the Gapura site is proven to have various problems such as a poor visual hierarchy, UI that confuses its users, and UI that are considered unattractive by users. These things result in the poor feedback of its users. This study aims to examine the problems in the Gapura site by using the guidelines of the e-book published by UXPin, "Web UI Best Practice". The series of tests that will be conducted are blur test, scenario test, questionnaire and survey. After that, a prototype will be built according to the results of the tests with the aim of improving the UI Gapura site. The results of the prototypes made show that while there are still mistakes regarding the visual hierarchy of the prototype, the prototype was proven to be more usable by the users, and received better feedback than the Gapura site. Thus, it can be concluded that the changes applied in the prototype has made the UI of Gapura better.

"Within the hour" and "wherever you are"

The use of healthcare apps for medical advice is becoming increasingly common. This paper explores apps that offer interaction with medical experts. Working from the supposition that digital technologies are intimately entangled in their cultural context, we argue that the apps do more than just neutrally mediate contacts and offer medical and psychological advice. The article addresses the cultural dimensions of healthcare apps and answers questions about the ways in which such apps contribute to forming changing notions of what “healthcare” and being a “patient” entail. Three popular Swedish apps and their marketing material is studied using a discursive interface analysis of the apps’ affordances. The results show that the apps significantly contribute to producing a marketable narrative about app health care that includes accessibility, security/safety and personalisation, and which is partly produced as an alternative to what is offered by Swedish public health care. The results further show that this narrative primarily represents and addresses users who are young, busy, urban consumers of care – partly contrasting policy expectations and hopes.

KNOW YOUR MEME AND THE HOMOGENIZATION OF WEB HISTORY

Know Your Meme (KYM) is a website devoted to compiling histories, definitions, and examples of internet memes. In the last decade, KYM has become popular among researchers, educators, and day-to-day Web users to understand memes and their meanings. As a result, it has become instrumental in establishing dominant histories of memes on the Web. This paper uses a discursive interface analysis of the KYM website along with the examples of Pepe the Frog, OK Boomer, and niche Facebook meme groups to demonstrate how the website constructs itself as a cultural authority to define and classify memes, and that an overreliance on KYM can have significant stakes. It may overlook entire uses of the meme, potentially downplay harmful ideologies, and generally imply the possibility for a meme to have a single primary meaning. I argue that an overreliance on KYM without acknowledging its limitations tends to overlook the essential plurality of the Web and instead implies a singular history of memes as an element of internet culture. However, KYM can still be a useful resource and to that end, ultimately, I conclude that we should move toward defining KYM as, “a curated collection of user-submitted meme instances and partially crowdsourced definitions.” While KYM is undeniably a useful resource, it is important that those of us who study the histories of the Web are mindful about how we lean upon this particular website and situate it within our work.

Feature Analysis

Many apps are designed to solve a problem or accomplish a task, such as managing a health condition, creating a to-do-list, or finding work. The solutions that app developers offer reflects how they believe that users and other stakeholders understand the problem. Each individual developer may have different ideas but analyzing many apps together can reveal the average or typical ways that developers in the set think about the problems that their apps are designed to solve. Building on content analysis, interface analysis, the concept of affordances, and speculative design, this article offers a new method that we call “feature analysis” to analyze what a set of apps designed to solve the same problem can tell us about the relationship between app design and ideology. By counting and classifying the features in a set of apps, feature analysis enables researchers to systematically answer questions about how app developers’ design choices reflect existing cultural norms, assumptions, and ideologies.