Emotional Preferences towards E-Learning Based on Analytic Hierarchy Process and Kansei for Decision Making
Yoyo Sudaryo, Ana Hadiana and Nunung Ayu Sofiati (Efi)
1.STIE INABA Business School, Jl. Soekarno-Hatta 448 Bandung, Indonesia, 40266
2. Research Center for Informatics, Indonesian Institute of Sciences, Indonesia, 40135
3. STIE INABA Business School, Jl. Soekarno-Hatta 448 Bandung, Indonesia,40266
Abstract
Users in software world play key role in determining whether a software, including e-Learning system, has a long time of use or not. Past literature has highlighted the importance of incorporating emotional user requirement into software systems. It is important to consider what users needs related to software. One of the critical focus of software systems that directly interacts with users is its interface. A User Interface Design (UID) could induce critical emotional experience and impression to users the first time they run a software system. Kansei Engineering is adopted as a methodology to analyze users- emotional experience towards the software UID. This research implemented a combination approach of Kansei Engineering with Analytic Hierarchy Process in order to analyze students- emotional experience as users of e-Learning in higher learning institution, and determine the design of an open source e-Learning system that suits their positive emotional experience, to capture their attention. This paper reports an attempt to discover the relationship between UID and users- emotional experience in e-Learning systems. The research found that there were two critical students- emotional factors, which are clear and pleasant. These two factors had a big impact in the selection of an e-Learning system, with clear factor as the larger impact. The research result then suggests the preferred e-Learning system for students based on those that evoked positive emotional experience to students. The result will benefit higher learning institution in promoting e-Learning, to extend the outreach potential of e-Learning among students.
Keywords: Emotional Preferences, E-Learning Based on AHP and Kansei for Decision Making
Topic: Marketing Management