Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13314
Title: | IScale: Studying long-term experiences through memory |
Authors: | Karapanos, Evangelos |
Major Field of Science: | Natural Sciences |
Field Category: | Computer and Information Sciences |
Keywords: | Free Recall;Episodic Memory;Temporal Information;Semantic Memory;Experience Report |
Issue Date: | 2013 |
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: | https://hdl.handle.net/20.500.14279/13314 |
ISBN: | 978-3-642-31000-3 |
DOI: | 10.1007/978-3-642-31000-3_5 |
Rights: | © 2013 Springer-Verlag Berlin Heidelberg. |
Type: | Book Chapter |
Affiliation : | Madeira Interactive Technologies Institute |
Publication Type: | Peer Reviewed |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
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