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Supporting Citizens’ Political Decision-Making Using Information Visualisation
Graf, Vanessa; Graf-Drasch, Valerie; Tiefenbeck, Verena et al.
2020In Proceedings of the 28th European Conference on Information Systems (ECIS)
Peer reviewed
 

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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.
Disciplines :
Computer science
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)
External co-authors :
yes
Language :
English
Title :
Supporting Citizens’ Political Decision-Making Using Information Visualisation
Publication date :
17 June 2020
Event name :
28th European Conference on Information Systems (ECIS)
Event date :
from 15-06-2020 to 17-06-2020
Audience :
International
Main work title :
Proceedings of the 28th European Conference on Information Systems (ECIS)
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 17 September 2020

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