Reference : Supporting Citizens’ Political Decision-Making Using Information Visualisation

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/44295

Title :	Supporting Citizens’ Political Decision-Making Using Information Visualisation
Language :	English
Author, co-author :	Graf, Vanessa []
	Graf-Drasch, Valerie []
	Tiefenbeck, Verena []
	Weitzel, Robin []
	Fridgen, Gilbert [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	17-Jun-2020
Main document title :	Proceedings of the 28th European Conference on Information Systems (ECIS)
Peer reviewed :	Yes
Audience :	International
Event name :	28th European Conference on Information Systems (ECIS)
Event date :	from 15-06-2020 to 17-06-2020
Abstract :	[en] Individual decision-making is a complex process. If carried out by individual citizens in the context of politically relevant decisions, serious consequences at all levels of a society might occur. That is why these decisions need to be made with care and preferably on a broad set of information to reflect citizens’ true preferences. However, due to limited attention, citizens often consider only salient aspects in their decision-making. To mitigate unwanted consequences following therefrom, citizens are in dire need of decision-support. We address this need by developing an Information Systems (IS) tool. Being based on information visualisation, our tool supports citizens by providing instant feedback. To ensure a meaningful engagement, the IS tool is designed according to gamification principles. A first instantiation in the context of renewable energy acceptance in Germany yields three key findings: First, we find indications that young, urban, and environmentally aware citizens are willing to accept a high percentage of renewable wind energy. Second, we find that the tool influences citizens’ decision-making. Third, we find citizens to update, however not completely turn over their preferred level of renewable wind energy after interaction with the tool. This holds true across different cross-sections of the population.
Permalink :	http://hdl.handle.net/10993/44295
Other URL :	https://aisel.aisnet.org/ecis2020_rp/133/

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Open access SUPPORTING CITIZENS POLITICAL DECISION-MAKING USING INFORMATION.pdf Publisher postprint 1.07 MB View/Open

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