Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13314
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Karapanos, Evangelos | - |
dc.date.accessioned | 2019-02-13T07:15:27Z | - |
dc.date.available | 2019-02-13T07:15:27Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Studies in Computational Intelligence, 2013, Pages 85-114 | en_US |
dc.identifier.isbn | 978-3-642-31000-3 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/13314 | - |
dc.description.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. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © 2013 Springer-Verlag Berlin Heidelberg. | en_US |
dc.subject | Free Recall | en_US |
dc.subject | Episodic Memory | en_US |
dc.subject | Temporal Information | en_US |
dc.subject | Semantic Memory | en_US |
dc.subject | Experience Report | en_US |
dc.title | IScale: Studying long-term experiences through memory | en_US |
dc.type | Book Chapter | en_US |
dc.collaboration | Madeira Interactive Technologies Institute | en_US |
dc.subject.category | Computer and Information Sciences | en_US |
dc.country | Portugal | en_US |
dc.subject.field | Natural Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1007/978-3-642-31000-3_5 | - |
cut.common.academicyear | 2013-2014 | en_US |
item.openairetype | bookPart | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_3248 | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Communication and Internet Studies | - |
crisitem.author.faculty | Faculty of Communication and Media Studies | - |
crisitem.author.orcid | 0000-0001-5910-4996 | - |
crisitem.author.parentorg | Faculty of Communication and Media Studies | - |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
CORE Recommender
Page view(s) 50
315
Last Week
0
0
Last month
3
3
checked on Jan 30, 2025
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.