scholarly journals A TOOL FOR EMOTIONAL USER EXPERIENCE ASSESSMENT OF WEB-BASED MEDICAL SERVICES

2016 ◽  
Vol 4 ◽  
pp. 840-845
Author(s):  
Alexander Nikov ◽  
Tramaine Alaina Gumaia

Emotional User Experience Design (eUXD) has become increasingly important for web-based services. The primary objective of this study is to enable users to use websites that are easy to understand and operate and pleasing to use. A checklist tool for an emotional user experience (eUX) assessment that supports web-based medical services is proposed. This tool measures user moods while using medical services’ websites. The tool allocates emotive design-oriented problems and thus defines relevant website design recommendations. A case study was performed illustrating the proposed tool on a website offering medical services. Five variants of this website with different design element categories were created. These variants were assessed, analyzed, and proposed for further redesign in applying the tool. The results reveal the variant and website design elements that best influenced eUX. Significant improvement in eUX is expected with implementation of design recommendations of this study. The advantages of the tool are: (1) measuring emotional responses of medical website users, (2) allocating emotive problems, (3) defining of recommendations for eUX design of web-based medical services, and (4) creation of suitable practices for eUX design of web-based medical services.

2019 ◽  
Vol 27 (1) ◽  
pp. 345-355
Author(s):  
Apichaya Nimkoompai ◽  
Worapat Paireekreng ◽  
Suwannit Chareen Chit

Current m-learning media are available in both native application and web-based application forms which create different user experience. Also, as the learners generally have diverse preferences and needs, a single style of m-learning may not meet such requirements. In order to formulate better and more attractive interaction between the learner and m-learning system, this study introduces augmented reality (AR) to both native and web applications as a means to improve captivation and create new user experience. A single group of learners is selected to try both types of application. The researcher groups the learner by learning style, using Felder-Silverman Learning Style Model, and then determines effectiveness of both forms of m-learning through an experiment. Experiment showed that all 4 learner groups were more satisfied with AR-enhanced native application based on user experience design due to its attractiveness and entertainment.


2021 ◽  
Author(s):  
Verent Flourencia Irene ◽  
Umi Sa'adah ◽  
Desy Intan Permatasari ◽  
Maulidan Bagus Afridian Rasyid

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