Capítulo I: Marco teórico referencial
1.6 Sistema de gestores de contenidos (CMS) para la gestión de sitios web
representative cases of
e.g., surprise and interest discrete emotions, e.g.,
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presents the case where the new user reports a NAAS. The website searches for the most similar existing user, until it finds the one whose latest aggregated affective state was also negatively valenced, and recommends to the new user their preferred nt. In this simulation, the most similar user was the previously presented existing user, with the matching NAAS, who preferred a few articles and forum discussions. As seen in Figure 5.17, these were recommended to the new user.
, the new user did not report emotions; hence searching for the most similar existing website user was not based on user emotions, but only based on their interests and demographic data (explained in Section 5.3.1.2). The most similar user in this case is
as in the first scenario, as can be seen by the recommendations provided to the new user (Figure 5.18).
Recommendations when a new user does not report
Implementation of A3
The A3 adaptation algorithm (Section 5.3.2) is simulated for representative cases of the adaptation rules (Appendix F): for a single
interest during use and disgust at login, and for a combination of , e.g., shame, joy and surprise at login.
. The website searches for the most similar existing user, until it finds the one whose latest aggregated affective state was also negatively valenced, and recommends to the new user their preferred nt. In this simulation, the most similar user was the previously presented existing user, with the matching NAAS, who preferred a few articles and forum discussions. As
emotions; hence searching for the most similar existing website user was not based on user emotions, but only based on their interests and demographic data (explained in Section 5.3.1.2). The most similar user in this case is
as in the first scenario, as can be seen by the recommendations provided to
user does not report emotions
is simulated for several of the most a single discrete emotion, and for a combination of
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A. Default
On Articles’ main page
Within article content
B. Highlighted
On Articles’ main page
Within article content
C. Hidden (Within article content (as in the default state; no adaptation is applied))
On Articles’ main page
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A. Default state
On Articles’ main page
In the main menu and Knowledge base pages
B. Highlighted
On Articles’ main page
In main menu and Knowledge base pages
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Adaptation for surprise is depicted in Figures 5.19 and 5.20. The adaptation rule for this emotion states that if surprise is felt (intensity 1-4) during website use, it predicts a
preference for article recommendations. Also, if surprise is reported, with any intensity (i.e., 0-4), there is a preference to view articles. Articles’ recommendations (F15) are displayed on the PORT website on top of the Articles’ main page, and on the right side of an article content page (Figure 5.19 - A). If surprise is reported with a mild or higher intensity (intensity 1-4), the individual recommendations are highlighted with a green border surrounding them, and the explanation text ‘We recommend, based on your interest, preferred content and emotions:’ is coloured in green (Figure 5.19 - B). Changes in the intensity of surprise do not trigger the hiding of this feature, as per algorithm, based on the Study 4 findings in Chapter 7 (Section 7.6.5.1). The hiding adaptation for this feature occurs when, for example, interest is not felt at all at login, in which case the background of the individual article recommendations is changed to grey (Figure 5.19 - C).
The intensity of surprise also predicts Articles (F18) will be preferred or disliked, as depicted in Figure 5.20. Articles on the PORT website are displayed within the Articles tab, on user profile and on Knowledge base pages. By default the title of an article is in black and bold font (Figure 5.20 - A). If surprise is reported during website use, irrespective of the intensity (any intensity 0-4), articles are recommended by highlighting
the titles in green and colouring the Articles tab in the main menu in green (Figure 5.20 - B). Hiding or removing articles is not implemented on the website as the findings did not indicate users dislike the feature when feeling any of the emotions.
Adaptation that results from reporting the emotion disgust at login is illustrated in Figures 5.21 and 5.22. Disgust predicts the feature Commenting (F3) (Figure 5.21 - A). Similar to the previous feature, when disgust is not felt, the textbox for comments within all contents that allow commenting (articles and blogs) and previously posted comments
are highlighted in green (Figure 5.21 - B). If disgust is felt the comments are hidden and
textbox for commenting is replaced with a link Comment, which opens the textbox for commenting, if clicked on (Figure 5.21 - C).
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Disgust also predicts the feature user profile customisation (F1) (Figure 5.22 - A), based on the correlation findings in Chapter 7 (Section 7.6.4). When disgust is not felt, the Edit profile link within MyPORT menu is highlighted with a green background (Figure 5.22 - B). When it is felt (intensity 1-4), the notifications to go to user profile and edit it are
turned off. For example the orange triangle that appears in the upper right hand corner of the website and the red rectangle in user profile – both indicating that user profile data is missing and should be completed – are hidden (Figure 5.22 - C).
Experiencing disgust at login with a mild or higher intensity (1-4) triggers the highlighting adaptation of the feature KB recommendations (F14). Highlighting and hiding of KB recommendations is the same as that applied to the Article recommendations presented in Figure 5.19.
When interest is reported during website use, it predicts user preference or dislike for using search tools (F20). PORT website’s search tools are depicted in their default state in Figure 5.23 – A. If a user reports interest in the intensity - not at all to moderate – the website highlights in green: the search box on Home page, the background of the search tool in the upper right corner of the website, and the search boxes in Forum and Blogs (Figure 5.23 - B). The HideFeatures() adaptation is also not applied in this case.
In some instances, feature adaptation is triggered only when conditions for several emotions are satisfied at the same time. For example, users are guided to content recommendations (F21) presented within the user profile page (Figure 5.24 - A) if they expressed at login that they do not feel shame at all, they do not feel surprise, and they
do not feel joy, or feel joy with an intensity of 3. When such a condition is met, it triggers the adaptation to highlight the background of profile recommendations (Figure 5.24 - B). No adaptation for this feature occurs if the condition is not met.
Various other types of adaptation to website features occur as a result of the emotions reported. These were just the most prominent examples. The rules for other emotions and the features they affect can be seen in Appendix F.
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A. Default state
B. Highlighted
C. Hidden
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A. Default state
Edit profile in My PORT menu
B. Highlighted
Edit profile in My PORT menu
C. Hidden
Edit profile in My PORT menu (as in default state)
Red rectangle and orange triangle are removed (as shown in the area marked in red)
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A. Default state
Home page
Search tool in the upper corner of the website
Forum search
Blog search
B. Highlighted
Home page
Search tool in the upper corner of the website
Forum search
Blog search
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A. Default state
B. Highlighted
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