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Volume Two - Academic Conferences

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Fauziah Redzuan et al.<br />

The average data calculated previously were examined in detail. From the correlation analysis results,<br />

some of the words were carefully chosen from each dimension to examine the specimens further.<br />

Table 3 shows the selected Kansei words and the highest average value from the specimens. It is<br />

evident from Table 3 that most of the positive emotions are related to Specimen Nos. 3, 8, and 5. In<br />

contrast, the negative emotions are consistently related to Specimen No. 9. Further examination of<br />

the specimens (as shown in Table 4) reveals the design elements of the identified specimens.<br />

Table 4: Brief design elements based on the selected specimens<br />

Specimen No. Design Dimension Design Elements<br />

3<br />

Interface Simple, not crowded, colour: white background with some<br />

orange colour in the title, simple and organized menu on the<br />

left<br />

Interaction Short quiz/challenge, interaction with learner, learner gives<br />

some input, gets instant feedback on their input<br />

Content Short notes, precise, concise, some pictures, animation,<br />

learner able to explore<br />

5<br />

Interface Simple, colour: white background with green colour in the logo<br />

and some words, simple menu on the left<br />

8<br />

9<br />

Interaction Short exercise, learner can try the exercise, gets instant<br />

results and feedback on the exercise<br />

Content Short notes with examples<br />

Interface Simple, related to example given<br />

Interaction Walkthrough examples<br />

Content Showing pointer and has audio<br />

Interface Simple, colour: white background with blue text, picture of<br />

instructor, no menu, next and back button/links<br />

Interaction No learner interaction<br />

Content Give examples with wordy explanations<br />

It is interesting to note, that a simple interface with some interaction with the learners, as well as short<br />

notes, evokes positive emotions in the learners. However, a simple interface with no learner<br />

interaction and with lengthy explanations evokes negative emotions.<br />

9. Conclusion<br />

The aim of this study was to identify the design elements of learning material in an online course that<br />

could evoke emotional responses from the students. Based on the principles extracted from the<br />

Aptum model, interaction design and using the KE Type II method, the researchers pursued this study<br />

according to the steps outlined in the KE Type II method. The experimental procedure involved ten<br />

online database courses to be used as specimens and 478 Kansei words, with 36 respondents or<br />

subjects. Statistical analysis was performed using correlation and factor analysis, in order to<br />

understand the data better. The results show that there are 130 significant emotional dimensions for<br />

the design of an online database course. The design elements of the specimens for positive and<br />

negative emotional experiences were also identified.<br />

This study reveals that it is possible to measure the emotional experience of the learners when<br />

interacting with online learning material, and to investigate the design elements that evoked emotional<br />

experiences of the learners in an online environment. Further study is to be performed on the second<br />

experiment, to investigate the detail design elements and its combination that contributes to the<br />

evoked emotions, especially on the positive emotional experience of the learners.<br />

References<br />

Agarwal, A. and Meyer, A. (2009) "Beyond Usability: Evaluating Emotional Response as an Integral Part of the<br />

User Experience", Paper read at the 27th International Conference on Human Factors in Computing<br />

Systems (CHI 2009), Boston, Massachusetts, ACM.<br />

Agarwal, A. and Prabaker, M. (2009) “Building on the Usability Study: <strong>Two</strong> Explorations on How to Better<br />

Understand an Interface”, in Jacko, J.A. (ed.) Human-Computer Interaction, Part I, Lecture Notes in<br />

Computer Science (LNCS 5610), Berlin Heidelberg: Springer.<br />

Bennet, A. and Bennet, D. (2008) "ELearning as Energetic Learning", VINE: The Journal of Information and<br />

Knowledge Management Systems, Vol. 38, No. 2, pp 206-220.<br />

Capota, K., van Hout, M. and van der Geest, T. (2007) "Measuring the Emotional Impact of Websites: A Study on<br />

Combining a Dimensional and Discrete Emotion Approach in Measuring Visual Appeal of University<br />

667

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