Choosing temporal freedom? How to investigate choice preference along an anisotropic dimension

dc.contributor.author	Thomaschke, Roland
dc.date.accessioned	2023-08-24T06:24:26Z
dc.date.available	2023-08-24T06:24:26Z
dc.date.issued	2023
dc.description.abstract	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.	de
dc.identifier.doi	10.18420/muc2023-mci-ws05-444
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/42081
dc.publisher	GI
dc.relation.ispartof	Mensch und Computer 2023 - Workshopband
dc.relation.ispartofseries	Mensch und Computer
dc.title	Choosing temporal freedom? How to investigate choice preference along an anisotropic dimension	de
dc.type	Text/Workshop Paper
gi.conference.date	3.-6. September 2023
gi.conference.location	Rapperswil
gi.conference.sessiontitle	MCI-WS05: Time and Timing in Human-Computer Interaction

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