elektronická verzia publikácie - FIIT STU - Slovenská technická ...
elektronická verzia publikácie - FIIT STU - Slovenská technická ...
elektronická verzia publikácie - FIIT STU - Slovenská technická ...
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User Modeling for Personalized Web-Based Systems 229<br />
beginning and one for the end of an interval, during which the system presumes that a page<br />
was displayed on user’s screen. The system uses this information to infer user’s knowledge<br />
on a related concept(s). The approach presumes that if the page was displayed, the user read<br />
it and hopefully understood it. This presumption can not be guaranteed to be true all the<br />
time, but the approach is achieving good results anyway, when system is used intensively<br />
enough.<br />
Monitoring access to resources can be used also in other domains, e.g., in scientific<br />
publication domain we would acquire records about displayed publications. However, the<br />
interpretation of these records needs to be more complex than in educational domain. We<br />
can presume, that while searching for suitable publication user will find such papers, which<br />
are not of her interest. In this case, the simple list of displayed publications does not give<br />
a complete information, which could be used in the characteristics discovery process. We<br />
need to know the way how the user navigated to the results and/or user’s feedback to<br />
individual items.<br />
Monitoring User Feedback This approach is an extension of the above mentioned one,<br />
which processes user’s feedback on the proposed content. We can divide user’s feedback<br />
according to the nature of its acquisition, in the same way as the general acquisition of<br />
information from the user, into explicit and implicit feedback.<br />
Explicit Feedback. This type of feedback is acquired when the user explicitly utter her<br />
attitude to the displayed content. This is usually done by rating it on a given (often Likert)<br />
scale [63].<br />
Explicit feedback is considered to be a good source of user preferences, but one need<br />
to design it carefully from the HCI perspective, otherwise the results could be biased. We<br />
can apply the HCI key constructs to questionnaires such as Perceived ease of use, Perceived<br />
usefulness, Disorientation or Flow. These constructs may depend on the presentation (response<br />
format and questionnaire layout) as well as interaction mechanisms that are employed in the<br />
administration of scale items [63].<br />
Especially important are Perceived usefulness which is defined as the degree to which a user<br />
believes that making a rating would give her some benefits and Flow which is a psychological<br />
state in which a person feels cognitively efficient, motivated and happy. When people are<br />
in the state of flow, they become absorbed in their activities and irrelevant thoughts and<br />
perceptions are screened out (as cited in [63]). It is important that questionnaires do not<br />
break this flow but rather become a part of it.<br />
Implicit Feedback. Because explicit feedback acquisition is not reliable (user oversees<br />
the rating widget or is not motivated to rate items) research is oriented also on implicit<br />
feedback which is derived from the usage of the system. It is an estimation how would user<br />
explicitly rate the particular item.<br />
Observable behavior for implicit feedback is stated in [51]. Authors define three main<br />
categories of behavior: examination, retention and reference. The most interesting category,<br />
from the perspective of web-based systems, is examination which encompasses following<br />
behavior: