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SEKE 2012 Proceedings - Knowledge Systems Institute

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• These characteristics are considered common in a<br />

traditional interface, may not correspond to those<br />

made for children. They have unique needs for their<br />

age. Beyond these specific needs for the children users<br />

the designers need to deal with the dangers that are<br />

usually present in a web environment, such as<br />

pornography and violent or racist content;<br />

• The existence of elderly among the users should be<br />

checked for these and needs met;<br />

• People with special needs are another installment of<br />

the user community of the system and need<br />

adjustments in the system to operate in the<br />

environment without difficulty.<br />

For the CSLs we used the basis of the research article:<br />

Project Tapejara from Souto [7]. The CSLs refer the subject’s<br />

characteristic way of learning new concepts or even to<br />

generate elaborations of prior knowledge. According to<br />

Madeira, Wainer, Verdin, Alchieri, Diehl [11], the CSLs are:<br />

Analogue-Analytical (AA), Concrete-Generic (CG),<br />

Deductive-Evaluative (DA), Relational-Synthetic (RS) and<br />

Synthetic-Evaluative (SA).<br />

Users rated AA-style may require more time for learning<br />

because when they were confronted with new information they<br />

tend to get a considerable depth on the subject through intense<br />

reflection. Users with CG-style tend to be pragmatic and<br />

careful in their learning situation. The learning objectives,<br />

evaluation criteria and feedback must be clear to this style<br />

because then he can work towards the goals. The DA-style can<br />

get to disregard a lot of concrete examples when they believe<br />

they have already understood the logical pattern underlying<br />

the new information. For the RS-style users are easy mental<br />

work with pictures and they appreciate the use of charts,<br />

diagrams and demonstrations. Efficient reading of charts and<br />

mind maps [7].<br />

We relate the CSLs with users with attention deficit<br />

disorder and hyperactivity (ADD and ADHD). The people<br />

with ADD and ADHD do not develop the scholar knowledge<br />

as expected for their ages. The diagnostic in the scholar age is<br />

common because in this period can be found the difficulties of<br />

attention and remain silent as the studies of Siqueira and<br />

Gusgel Giannetti [9], Poeta and Rosa Neto [10].<br />

III. THE PROJECT´S GUIDELINES<br />

The GuideExpert system was initially developed<br />

containing in its knowledge base three hundred and twenty six<br />

classified guidelines and 10 meta-guidelines, which is the<br />

result of gr ouping guidelines, this allows you to search for<br />

more targeted features of i nterface design that is being<br />

modeled [5].<br />

The system consists of four elements are: user interface,<br />

expert system (inference engine and working memory),<br />

knowledge base and database. Figure 1 shows the architecture<br />

of the expert system which demonstrates the elements through<br />

their organization in layers and modules.<br />

Figure 1 – System Architecture Specialist GuideExpert<br />

Layer 2 is the expert system, which, when executed,<br />

accesses the layer 3 containing the knowledge base, and thus<br />

carries the knowledge rules. The first module of the user<br />

interface has been assessing the requirements of the HCI with<br />

the designer, if executed. After obtaining the information, is<br />

provided to the expert system and soon after is analyzed. The<br />

database is accessed at layer 3, for the meta-guidelines<br />

requested. The second module of user interface aids in<br />

heuristic evaluation [5].<br />

This research contributed to the tool GuideExpert<br />

incorporating new knowledge items to it, enabling the groups<br />

of users with different learning styles (CSLs) and users<br />

suffering from attention deficit disorder (ADD and ADHD)<br />

obtain special guidelines.<br />

The metaguidelines were increased by more than 18<br />

categories and 18 new rules are created according to the<br />

surveys [9], [10], [11] and [12]. The selection rules help the<br />

designer to automatically select the most appropriate<br />

metaguidelines. For this project we raised through the<br />

literature one hundred thirty-six new guidelines.<br />

A. Representation of Guidelines<br />

The knowledge basis of G uideExpert consists in the<br />

“WHEN-THEN” rules, who help to select the appropriate<br />

metaguidelines for the interface being designed. This study<br />

adds to the base already built the 18 selected rules that were<br />

595

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