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Extracting business information from graphs: An eye tracking experiment

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  • Vila, Jose
  • Gomez, Yolanda

Abstract

Information graphics are visualizations that convey information about data trends and distributions. Data visualization and the application of graphs is increasingly important in business decision making, for instance, in big data analysis. However, relatively little information exists about how people extract information from graphs and how the framing of the graphic design defines may ‘nudge’ and bias decision making. As a contribution to fill this gap, this study applies the methodology of experimental economics to the analysis of graph reading and processing to extract underlying information. Specifically, the study presents the results of an experiment whose baseline treatment includes graphical and numerical information. The authors analyze how the information extraction changes in other treatments after removing the numerical information. The experiment applies eye-tracking technology to uncover subtle cognitive processing stages that are otherwise difficult to observe in visualization evaluation studies. The conclusions of the study establish patterns in the process of graph analysis to optimize data visualization for business and policy decision making.

Suggested Citation

  • Vila, Jose & Gomez, Yolanda, 2016. "Extracting business information from graphs: An eye tracking experiment," Journal of Business Research, Elsevier, vol. 69(5), pages 1741-1746.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:5:p:1741-1746
    DOI: 10.1016/j.jbusres.2015.10.048
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    References listed on IDEAS

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    1. Stephan Lewandowsky & Ian Spence, 1989. "The Perception of Statistical Graphs," Sociological Methods & Research, , vol. 18(2-3), pages 200-242, November.
    2. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    3. Arribas, Iván & Comeig, Irene & Urbano, Amparo & Vila, José, 2014. "Statistical formats to optimize evidence-based decision making: A behavioral approach," Journal of Business Research, Elsevier, vol. 67(5), pages 790-794.
    4. Hernández, Penélope & Vila, José, 2014. "Measuring value levers: Experimental and contingent approaches," Journal of Business Research, Elsevier, vol. 67(5), pages 775-778.
    5. Wang, Kuo-Ching & Chou, Shu-Hui & Su, Che-Jen & Tsai, Hsin-Yi, 2007. "More information, stronger effectiveness? Different group package tour advertising components on web page," Journal of Business Research, Elsevier, vol. 60(4), pages 382-387, April.
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    Cited by:

    1. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    2. Farhad Aliyev & Taylan Ürkmez & Ralf Wagner, 2018. "Luxury brands do not glitter equally for everyone," Journal of Brand Management, Palgrave Macmillan, vol. 25(4), pages 337-350, July.
    3. Borozan, Miloš & Loreta, Cannito & Riccardo, Palumbo, 2022. "Eye-tracking for the study of financial decision-making: A systematic review of the literature," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    4. Castagna, Ana Carina & Pinto, Diego Costa & Mattila, Anna & de Barcellos, Marcia Dutra, 2021. "Beauty-is-good, ugly-is-risky: Food aesthetics bias and construal level," Journal of Business Research, Elsevier, vol. 135(C), pages 633-643.
    5. Karin Eberhard, 2023. "The effects of visualization on judgment and decision-making: a systematic literature review," Management Review Quarterly, Springer, vol. 73(1), pages 167-214, February.

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