UX Design Documentation Application Using The Five Planes Method

Permatasari, Desy Intan; Hardiansyah, Fadilah Fahrul; Wakhidah, Mayshella Ainun; Rasyid, Maulidan Bagus Afridian

doi:10.1145/3479645.3479688

Cited by 4 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this study implies that the UX design practice lacks the competencies to handle scenarios incorporating ML effectively. In contrast to earlier research on ML as a design material in UX design practice (e.g [3], [12], [21], [36]), these studies adds to what we need to know about ML in UX practice from the perspective of a UX designer.…”

Section: A Summary Of Findings and Discussion 1) Themes Of Experiencementioning

confidence: 96%

“…This research [3], [12], [21], [36] helps us to understand the need to learn more about UX designers' motivations to learn more about ML as a design material. In addition, it could help the UX design profession understand how and why understanding more about ML as a design material would be beneficial.…”

Section: A Summary Of Findings and Discussion 1) Themes Of Experiencementioning

confidence: 99%

“…According to [3], [12], [21], [36], a lack of ML expertise in UX design practice can have unsettling repercussions. UX designers, for example, must be able to identify design criteria for an experience that prioritizes the user.…”

Section: A Summary Of Findings and Discussion 1) Themes Of Experiencementioning

confidence: 99%

“…The use of ML to improve UX is becoming more common [1], [2]. Conversion rates in applications with excellent UX design can increase by 400 per cent, whereas conversion rates in applications with inadequate user interfaces (UI) only increase by 200 per cent [3].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

User Experience Design Using Machine Learning: A Systematic Review

2022

View full text Add to dashboard Cite

User experience (UX) is the key to increased productivity by enhancing the usability and interactivity of the product. Machine learning (ML) solutions have raised user and academic awareness of technical innovation. As a result, ML is becoming increasingly popular to improve the quality of UX. Several investigations have highlighted a potential lack of studies on the overall challenges and recommendations for UX using ML. Therefore, more attention should be paid to ML's existence and potential applications across various applications to get the most out of ML techniques to improve the UX design process. To this objective, a systematic review of the literature was performed as to determine the challenges faced by UX designers when incorporating ML in their design process. Recommendations that help UX designers incorporate ML into UX design will be highlighted. Furthermore, the PRISMA approach is used (a process that has been established in the literature), to restrict the chance of bias at the selection stage. Relevant articles in the following four databases were searched: IEEE Xplore, Scopus, Web of Science, and ACM. The findings revealed that the number of publications on issues linked to UX with ML had advanced exponentially. This review highlights the challenges, recommendations, tools, algorithms, techniques and datasets used in different studies. In addition, suggestions are given for future investigations.

show abstract

Section: A Summary Of Findings and Discussion 1) Themes Of Experiencementioning

confidence: 96%

Section: A Summary Of Findings and Discussion 1) Themes Of Experiencementioning

confidence: 99%

Section: A Summary Of Findings and Discussion 1) Themes Of Experiencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

User Experience Design Using Machine Learning: A Systematic Review

2022

View full text Add to dashboard Cite

show abstract

“…Enterprise demand for better user experience (UX) has created a need for UX education [2,3]. Although analyzing user needs is essential to UX research, it is also highly challenging [4]. With the UX industry gaining popularity, many beginners with diverse professional backgrounds are stepping into the field [5].…”

Section: Introductionmentioning

confidence: 99%

Automated Classification of User Needs for Beginner User Experience Designers: A Kano Model and Text Analysis Approach Using Deep Learning

Zhang,

Chen,

Huang

et al. 2024

View full text Add to dashboard Cite

This study introduces a novel tool for classifying user needs in user experience (UX) design, specifically tailored for beginners, with potential applications in education. The tool employs the Kano model, text analysis, and deep learning to classify user needs efficiently into four categories. The data for the study were collected through interviews and web crawling, yielding 19 user needs from Generation Z users (born between 1995 and 2009) of LEGO toys (Billund, Denmark). These needs were then categorized into must-be, one-dimensional, attractive, and indifferent needs through a Kano-based questionnaire survey. A dataset of over 3000 online comments was created through preprocessing and annotating, which was used to train and evaluate seven deep learning models. The most effective model, the Recurrent Convolutional Neural Network (RCNN), was employed to develop a graphical text classification tool that accurately outputs the corresponding category and probability of user input text according to the Kano model. A usability test compared the tool’s performance to the traditional affinity diagram method. The tool outperformed the affinity diagram method in six dimensions and outperformed three qualities of the User Experience Questionnaire (UEQ), indicating a superior UX. The tool also demonstrated a lower perceived workload, as measured using the NASA Task Load Index (NASA-TLX), and received a positive Net Promoter Score (NPS) of 23 from the participants. These findings underscore the potential of this tool as a valuable educational resource in UX design courses. It offers students a more efficient and engaging and less burdensome learning experience while seamlessly integrating artificial intelligence into UX design education. This study provides UX design beginners with a practical and intuitive tool, facilitating a deeper understanding of user needs and innovative design strategies.

show abstract