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The virtual museum tour guide: an eye-fixation based recommender system

Janssen, C.P. (2006) The virtual museum tour guide: an eye-fixation based recommender system. Bachelor's Thesis, Artificial Intelligence.

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Abstract

In this Bachelor project an implementation of a personalized and adaptive tour guide within the setting of a virtual museum has been made. In accordance with our hypothesis that people look at items that they are interested in, we use eye-gaze information as a mechanism for deriving a user’s interests and directing the tour. The guide distinguishes several items within each painting and offers anecdotic information on the most attended items. In an experiment, the hypothesis that users are interested in this kind of information was tested. We used two conditions: one in which users received information about the most attended items and one in which they received information on the least attended items. Our results showed a trend in line with our hypothesis. They also show that a lot of factors are of influence on the interest of a user and his rating of the tour guide. This pleads for usage of virtual museum tour guiding systems that can adapt themselves to the interests of users.

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 07:28
Last Modified: 15 Feb 2018 07:28
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/8455

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