Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/13314
Title: IScale: Studying long-term experiences through memory
Authors: Karapanos, Evangelos 
Keywords: Free Recall;Episodic Memory;Temporal Information;Semantic Memory;Experience Report
Category: Computer and Information Sciences
Field: Natural Sciences
Issue Date: 2013
Publisher: Springer
Source: Studies in Computational Intelligence, 2013, Pages 85-114
Abstract: This chapter presents iScale, a survey tool for the retrospective elicitation of longitudinal user experience data. iScale aims to minimize retrospection bias and employs graphing to impose a process during the reconstruction of one's experiences. Two versions, the constructive and the value-account iScale, were motivated by two distinct theories on howpeople reconstruct emotional experiences from memory. These two versions were tested in two separate studies. Study 1 aimed at providing qualitative insight into the use of iScale and compared its performance to that of free-hand graphing. Study 2 compared the two versions of iScale to free recall, a control condition that does not impose structure on the reconstruction process. Overall, iScale resulted in an increase in the amount, the richness, and the test-retest consistency of recalled information as compared to free recall. These results provide support for the viability of retrospective techniques as a cost-effective alternative to longitudinal studies.
URI: http://ktisis.cut.ac.cy/handle/10488/13314
ISBN: 978-3-642-31000-3
DOI: 10.1007/978-3-642-31000-3_5
Rights: © 2013 Springer-Verlag Berlin Heidelberg.
Type: Book Chapter
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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