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Development of Web based UX Diagnosis System for Small and Medium Sized Home Appliance Manufacturers in the IoT Era

Authors:
Joohwan Park
Jiyoung Kwahk
Sung H. Han
Bora Kang
Mingyu Lee
Dong Yeong Jeong
Hyeji Jang
Dawoon Jeong
Jungchul Park
Jaehyun Park

Keywords: User experience; IoT; Home appliance; UX diagnosis system; Survey system

Abstract:
The purpose of the study is to develop a web based User eXperience (UX) diagnosis system that helps the small and medium sized home appliance manufacturers prepare for the opportunities of Internet of Things (IoT) era. To provide a UX diagnostic system that is compatible with various product types of the home appliance manufacturers, a total 109 questionnaire items for UX evaluation were developed based on the UX design principles and design elements. The functional requirements of the proposed diagnosis system were constructed based on the needs and requirements that collected from the designers of the small and medium sized manufacturers though in-depth interviews. A UX diagnostic system was developed as a web based platform that supporting overall UX diagnosis process, from the questionnaire generation, survey distribution, user survey data collection, and visualization of the analyzed UX diagnosis result. The proposed system is designed to uncover various possible UX design flaws related to specific design elements and UX design principle. The proposed system provides both quantitative and qualitative diagnosis results, such as UX design scores and users' comments and opinions about the products. The usability, validity, and usefulness of the developed system were evaluated by the experts through case study. The developed system is expected to be useful for home appliance designers of the home appliance manufacturers by providing systems to evaluate the current state of their products and uncover the UX design issues through a web based survey. The following study will be focused to provide design elements, UX design principles, and questionnaire items for evaluation of the home appliances’ IoT features.

Pages: 299 to 304

Copyright: Copyright (c) IARIA, 2017

Publication date: March 19, 2017

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-538-8

Location: Nice, France

Dates: from March 19, 2017 to March 23, 2017