Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50048

Representation Effects and Loss Aversion in Analytical Behaviour: An Experimental Study into Decision Making Facilitated by Visual Analytics

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Title:Representation Effects and Loss Aversion in Analytical Behaviour: An Experimental Study into Decision Making Facilitated by Visual Analytics
Authors:Booth, Paul
Gibbins, Nicholas
Galanis, Spryos
Keywords:Interactive Visual Analytics and Visualization for Decision Making � Making Sense of Big Data
experiment, behavioural economics, decision-making, visualisation, visual analytics
Date Issued:03 Jan 2018
Abstract:This paper presents the results of an experiment into the relationship between the representation of data and decision-making. Three hundred participants online, were asked to choose between a series of financial investment opportunities using data presented in line charts. A single dependent variable of investment choice was examined over four levels of varying display conditions and randomised data. Three variations to line chart visualisations provided a controlled factor between subjects divided into three groups; -˜standard’ line charts, -˜tall’ line charts, and one dual-series line chart. The final results revealed a consistent main effect and two other interactions between certain display conditions and decision-making. The findings of this paper are significant to the study visualisation and to the field of visual analytics. This experiment was devised as part of a study into Analytical Behaviour, defined as decision-making facilitated by visual analytics - a new topic that encompasses existing research and real-world applications.
Pages/Duration:9 pages
URI:http://hdl.handle.net/10125/50048
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.161
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Interactive Visual Analytics and Visualization for Decision Making - Making Sense of Big Data


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