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.
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© 2013 Springer-Verlag Berlin Heidelberg
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Karapanos, E. (2013). iScale: Studying Long-Term Experiences through Memory. In: Modeling Users' Experiences with Interactive Systems. Studies in Computational Intelligence, vol 436. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31000-3_5
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DOI: https://doi.org/10.1007/978-3-642-31000-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30999-1
Online ISBN: 978-3-642-31000-3
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