scholarly journals INFORMATION ARCHITECTURE PADA APLIKASI E-COMMERCE

2021 ◽  
Vol 5 (1) ◽  
pp. 22-34
Author(s):  
Sri Soedewi ◽  
Wirania Swasty ◽  
Arry Mustikawan ◽  
Fariha Eridani Naufalina

Shopee dan Tokopedia merupakan aplikasi (mobile apps) marketplace populer di Indonesia yang memberikan fasilitas jual beli barang secara online dari berbagai penjual atau toko. Dalam sebuah aplikasi, salah satu hal yang sangat berpengaruh untuk kenyamanan pengguna adalah penyusunan struktur informasi (information architecture). Metode Information Architecture digunakan untuk menyusun informasi menjadi lebih mudah dipahami dan dimengerti serta mempermudah pengguna aplikasi ketika berinteraksi dengan aplikasi smartphone. Penelitian ini menggunakan metode penelitian kuantitatif dengan melakukan observasi, wawancara dan studi pustaka serta menganalisis tentang struktur/arsitektur informasi dan mengetahui pengalaman pengguna (user experience) pada aplikasi Tokopedia dan Shopee menggunakan software Optimal Workshop

2020 ◽  
Vol 8 (2) ◽  
pp. 206-212
Author(s):  
Benjamin Hanussek

OverviewThe introduction of the smartphone into the private and professional lives of humans has provided a channel to real-time and place-specific information that can enhance (and disturb) day-to-day living. Given such impact, many museums and archaeological exhibitions have chosen to develop digital applications to enhance the visitor experience via accompanying the visitor through the exhibitions. Yet after a decade, these applications still seem understudied and, in practice, very undeveloped. This review aims to shed some light on the possibilities and shortcomings of museum apps. I discuss and critically evaluate the technical efficiency, practical utility, and user experience of the British Museum Guide (Museums Guide Ltd.) and My Visit to the Louvre (Musée du Louvre) applications. These two mobile apps represent the contemporary standard for museum apps, thereby allowing me to generalize about this genre of digital media.


Author(s):  
Haohong Wang

We are currently living in a world dominated by mobile apps and connected devices. State-of-the-art mobile phones and tablets use apps to organize knowledge and information, control devices, and/or complete transactions via local, web, and cloud services. However, users are challenged to select a suite of apps, from the millions available today, that is right for them. Apps are increasingly differentiated only by the user experience and a few specialized functions; therefore, many apps are needed in order to cover all of the services a specific user needs, and the user is often required to frequently switch between apps to achieve a specific goal. User experience is further limited by the inability of apps to effectively interoperate, since relevant user data are often wholly contained within the app. This limitation significantly undermines the continuous (function) flow across apps to achieve a desired goal. The result is a disjointed user experience requiring app switching and replicating data among apps. With these limitations in mind, it appears as if the current mobile experience is nearing its full potential but failing to leverage the full power of modern mobile devices. In this paper, we present a vision of the future where apps are no longer the dominant customer interaction in the mobile world. The alternative that we propose would “orchestrate” the mobile experience by using a “moment-first” model that would leverage machine learning and data mining to bridge a user's needs across app boundaries, matching context, and knowledge of the user with ideal services and interaction models between the user and device. In this way, apps would be employed at a function level, while the overall user experience would be optimized, by liberating user data outside of the app container and intelligently orchestrating the user experience, to fulfill the needs of the moment. We introduce the concept of a functional entry-point and apply the simple label “FUNN” to it (which was named “FUNC” in (Wang, 2014)). We further discuss how a number of learning models could be utilized in building this relationship between the user, FUNN, and context to enable search, recommendations and presentation of FUNNs through a multi-modal human–machine interface that would better fulfill users' needs. Two examples are showcased to demonstrate how this vision is being implemented in home entertainment and driving scenarios. In conclusion, we envision moving forward into a FUNN-based mobile world with a much more intelligent user experience model. This in turn would offer the opportunity for new relationships and business models between software developers, OS providers, and device manufacturers.


Author(s):  
JOSEP MARIA BRUNETTI ◽  
ROSA GIL ◽  
JUAN MANUEL GIMENO ◽  
ROBERTO GARCIA

Thanks to Open Data initiatives the amount of data available on the Web is rapidly increasing. Unfortunately, most of these initiatives only publish raw tabular data, which makes its analysis and reuse very difficult. Linked Data principles allow for a more sophisticated approach by making explicit both the structure and semantics of the data. However, from the user experience viewpoint, published datasets continue to be monolithic files which are completely opaque or difficult to explore by making complex semantic queries. Our objective is to facilitate the user to grasp what kind of entities are in the dataset, how they are interrelated, which are their main properties and values, etc. Rhizomer is a data publishing tool whose interface provides a set of components borrowed from Information Architecture (IA) that facilitate getting an insight of the dataset at hand. Rhizomer automatically generates navigation menus and facets based on the kinds of things in the dataset and how they are described through metadata properties and values. This tool is currently being evaluated with end users that discover a whole new perspective of the Web of Data.


Author(s):  
Aiman Mamdouh Ayyal Awwad

<p>Recently, the study of emotional recognition models has increased in the human-computer interaction field. With high recognition accuracy of emotions’ data, we could get immediate feedback from mobile users, get a better perception of human behavior while interacting with mobile apps, and thus make the user experience design more adaptable and intelligent. The harnessing of emotional recognition in mobile apps can dramatically enhance users’ experience. Therefore, in this paper, we propose a visual emotion-aware cloud localization user experience framework based on mobile location services. An important feature of our proposed framework is to provide a personalized mobile app based on the user’s visual emotional changes. The framework captures the emotion-aware data, process them in the cloud server, and analyze them for an immediate localization process. The first stage in the framework builds a correlation between the application’s default language and the user’s visual emotional feedback. In the second stage, the localization model loads the appropriate application’s resources and adjusts the screen features based on the real-time user’s emotion obtained in the first stage and according to the location data that the app collected from the mobile device. Our experiments demonstrate the effectiveness of the proposed framework. The results show that our proposed framework can provide a high-quality application experience in terms of a user’s emotional levels and deliver an excellent level of usability that was before not possible.</p>


Author(s):  
Jean M. Brechman ◽  
Steven Bellman ◽  
Robert F. Potter ◽  
Shiree Treleaven-Hassard ◽  
Jennifer A. Robinson ◽  
...  

Marketing professionals are increasingly interested in creating branded mobile phone applications. These “apps” prominently display a brand's identity throughout the user experience, typically in the form of a brand logo, and are designed to perform a range of functions. This article reviews current available research, and specifically addresses two important areas: (1) the effectiveness of mobile phone apps as a form of persuasive advertising and (2) factors that moderate these effects, specifically creative execution style and product category relevance. This article concludes with a discussion of directions for future research.


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