Workshopbeitrag
Choosing temporal freedom? How to investigate choice preference along an anisotropic dimension
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Datum
2023
Autor:innen
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Verlag
GI
Zusammenfassung
In Computer users usually prefer scenarios where they can choose between options by themselves over scenarios where options are selected otherwise. Such choice preference has been demonstrated for several dimensions, like position, color etc., but not nor time. I speculate that this research gap is due to the traditional paradigms in choice preference research requiring choice options on the one hand to involve different waiting times but on the other hand to be of equal value to users. Yet, different points in time are inherently different in value – due to the anisotropy of time. I argue that this issue can be accounted for by countering the inherent value asymmetry of time by associating additional value to the option via a pre-experimental temporal learning procedure.