Literature DB >> 31280801

Display clutter and its effects on visual attention distribution and financial risk judgment.

Svetlana Ognjanovic1, Manfred Thüring2, Ryan O Murphy3, Christoph Hölscher4.   

Abstract

Display clutter is a widely studied phenomenon in ergonomics, where information density and other properties of task-relevant visualizations are related to effective user performance and visual attention. This paper examines the impact of clutter in the context of financial stock visualizations. Depending on their expertise, traders can use a variety of different cues to judge the current and future value of a stock and to assess its riskiness. In our study, two groups of participants (novices and experts) judge the riskiness of 28 pairs of stocks under two clutter conditions (low and high). Consistency of judgments and group concordance serve as measures for judgment performance, while mean fixation duration, fixation frequency, and transition matrix density are employed to capture visual attention. Our results reveal significant effects of display clutter and expertise on both the performance measures as well as the visual attention measures.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Display clutter; Expertise; Eye-tracking; Stocks

Mesh:

Year:  2019        PMID: 31280801     DOI: 10.1016/j.apergo.2019.05.008

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  2 in total

1.  Visual scanning strategies in the cockpit are modulated by pilots' expertise: A flight simulator study.

Authors:  Christophe Lounis; Vsevolod Peysakhovich; Mickaël Causse
Journal:  PLoS One       Date:  2021-02-18       Impact factor: 3.240

2.  Effects of reliability indicators on usage, acceptance and preference of predictive process management decision support systems.

Authors:  Peter Fröhlich; Manfred Tscheligi; Alexander G Mirnig; Damiano Falcioni; Johann Schrammel; Lisa Diamond; Isabel Fischer
Journal:  Qual User Exp       Date:  2022-09-05
  2 in total

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