A TOOL FOR EMOTIONAL USER EXPERIENCE ASSESSMENT OF WEB-BASED MEDICAL SERVICES
AbstractEmotional 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.
Chen, Y. (2013, June). Research on Optimized Design of Kansei Engineering-Based Web Interface. In Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on IEEE (pp. 1709-1712).
Haenlein, M., & Kaplan, A. M. (2004). A beginner's guide to partial least squares analysis. Understanding statistics, 3(4), 283-297.
Jiang, N., Feng, X., Liu, H., & Liu, J. (2008). Emotional design of web page. In Computer-Aided Industrial Design and Conceptual Design, 2008. CAID/CD 2008. 9th International Conference on IEEE (pp. 91-95).
Kim, J., Lee, J., & Choi, D. (2003). Designing emotionally evocative homepages: an empirical study of the quantitative relations between design factors and emotional dimensions. International Journal of Human-Computer Studies, 59(6), 899-940.
Lokman, A. M., Noor, N. L. M., & Nagamachi, M. (2009). ExpertKanseiWeb: A tool to design Kansei website. In Enterprise Information Systems, Berlin: Springer (pp. 894-905).
Parthasarathy, R., & Fang, X. (2013). Introducing emotional interfaces to healthcare systems. In Human-Computer Interaction. Applications and Services, Berlin: Springer (pp. 150-162).
Ramirez, R., & Vamvakousis, Z. (2012). Detecting Emotion from EEG Signals Using the Emotive Epoc Device, In F.M. Zanzotto et al. (Eds.) Bran Informatics, Lecture Notes on Computer Science, Berlin: Springer, Vol. 7670 (pp. 175-184).
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (Creative Commons Attribution License 3.0 - CC BY 3.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
firstname.lastname@example.org, www.iseic.cz, ojs.journals.cz