Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/13313
Title: Analyzing personal attribute judgments
Authors: Karapanos, Evangelos 
Keywords: Akaike Information Criterion;Average Model;Attribute Category;Average Analysis
Category: Computer and Information Sciences
Field: Natural Sciences
Issue Date: 2013
Publisher: Springer
Abstract: This chapter presents a second Multi-Dimensional Scaling procedure that aims at identifying diverse views even within single individuals. The technique is applied on an existing dataset (Heidecker and Hassenzahl, 2007). It is illustrated that the-traditional-averaging analysis provides insight to only 1/6th of the total number of attributes in the example dataset. The proposed approach accounts for more than double the information obtained from the average model, and provides richer and semantically more diverse views on the set of stimuli.
URI: http://ktisis.cut.ac.cy/handle/10488/13313
ISBN: 978-3-642-31000-3
DOI: 10.1007/978-3-642-31000-3_3
Rights: © 2013 Springer-Verlag Berlin Heidelberg.
Type: Book Chapter
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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