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Attention in games: An experimental study

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  • Avoyan, Ala
  • Schotter, Andrew

Abstract

A common assumption in game theory is that players concentrate on one game at a time. However, in everyday life, we play many games and make many decisions at the same time and have to decide how best to divide our limited attention across these settings. In this paper we ask how players solve this attention-allocation problem. We find that players’ attention is attracted to particular features of the games they play and how much attention a subject gives to a given game depends on the other game that the person is simultaneously attending to.

Suggested Citation

  • Avoyan, Ala & Schotter, Andrew, 2020. "Attention in games: An experimental study," European Economic Review, Elsevier, vol. 124(C).
  • Handle: RePEc:eee:eecrev:v:124:y:2020:i:c:s0014292120300428
    DOI: 10.1016/j.euroecorev.2020.103410
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    References listed on IDEAS

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    1. Larbi Alaoui & Antonio Penta, 2016. "Endogenous Depth of Reasoning," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(4), pages 1297-1333.
    2. Recalde, M.P. & Riedl, A.M. & Vesterlund, L., 2014. "Error prone inference from respons time: The case of intuitive generosity," Research Memorandum 034, Maastricht University, Graduate School of Business and Economics (GSBE).
    3. Ariel Rubinstein, 2007. "Instinctive and Cognitive Reasoning: A Study of Response Times," Economic Journal, Royal Economic Society, vol. 117(523), pages 1243-1259, October.
    4. Marina Agranov & Andrew Caplin & Chloe Tergiman, 2015. "Naive play and the process of choice in guessing games," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(2), pages 146-157, December.
    5. Anya C. Savikhin & Roman M. Sheremeta, 2013. "Simultaneous Decision-Making In Competitive And Cooperative Environments," Economic Inquiry, Western Economic Association International, vol. 51(2), pages 1311-1323, April.
    6. Recalde, María P. & Riedl, Arno & Vesterlund, Lise, 2018. "Error-prone inference from response time: The case of intuitive generosity in public-good games," Journal of Public Economics, Elsevier, vol. 160(C), pages 132-147.
    7. David G. Rand & Joshua D. Greene & Martin A. Nowak, 2012. "Spontaneous giving and calculated greed," Nature, Nature, vol. 489(7416), pages 427-430, September.
    8. Bednar, Jenna & Chen, Yan & Liu, Tracy Xiao & Page, Scott, 2012. "Behavioral spillovers and cognitive load in multiple games: An experimental study," Games and Economic Behavior, Elsevier, vol. 74(1), pages 12-31.
    9. Axel Ockenfels & Gary E. Bolton, 2000. "ERC: A Theory of Equity, Reciprocity, and Competition," American Economic Review, American Economic Association, vol. 90(1), pages 166-193, March.
    10. Ayala Arad & Ariel Rubinstein, 2012. "The 11-20 Money Request Game: A Level-k Reasoning Study," American Economic Review, American Economic Association, vol. 102(7), pages 3561-3573, December.
    11. Ariel Rubinstein, 2016. "A Typology of Players: Between Instinctive and Contemplative," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 859-890.
    12. Syngjoo Choi & Raymond Fisman & Douglas Gale & Shachar Kariv, 2007. "Consistency, Heterogeneity, and Granularity of Individual Behavior under Uncertainty," Economics Working Papers 0076, Institute for Advanced Study, School of Social Science.
    13. Lindner, Florian & Sutter, Matthias, 2013. "Level-k reasoning and time pressure in the 11–20 money request game," Economics Letters, Elsevier, vol. 120(3), pages 542-545.
    14. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    15. Fehr, Ernst & Schmidt, Klaus M., 2000. "Fairness, incentives, and contractual choices," European Economic Review, Elsevier, vol. 44(4-6), pages 1057-1068, May.
    16. Andrew Schotter & Isabel Trevino, 2021. "Is response time predictive of choice? An experimental study of threshold strategies," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 87-117, March.
    17. Carlos Alós-Ferrer & Johannes Buckenmaier, 2021. "Cognitive sophistication and deliberation times," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 558-592, June.
    18. Syngjoo Choi, 2012. "A cognitive hierarchy model of learning in networks," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 215-250, September.
    19. Syngjoo Choi & Raymond Fisman & Douglas Gale & Shachar Kariv, 2007. "Consistency and Heterogeneity of Individual Behavior under Uncertainty," American Economic Review, American Economic Association, vol. 97(5), pages 1921-1938, December.
    20. Ariel Rubinstein, 2007. "Instinctive and Cognitive Reasoning: Response Times Study," Levine's Bibliography 321307000000001011, UCLA Department of Economics.
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    Cited by:

    1. Kyle Hyndman & Antoine Terracol & Jonathan Vaksmann, 2022. "Beliefs and (in)stability in normal-form games," Experimental Economics, Springer;Economic Science Association, vol. 25(4), pages 1146-1172, September.
    2. Alaoui, Larbi & Janezic, Katharina A. & Penta, Antonio, 2020. "Reasoning about others' reasoning," Journal of Economic Theory, Elsevier, vol. 189(C).
    3. Carlos Alós-Ferrer & Alexander Ritschel, 2022. "Attention and salience in preference reversals," Experimental Economics, Springer;Economic Science Association, vol. 25(3), pages 1024-1051, June.
    4. Charness, Gary & Le Bihan, Yves & Villeval, Marie Claire, 2024. "Mindfulness training, cognitive performance and stress reduction," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 207-226.
    5. Cloarec, Julien, 2020. "The personalization–privacy paradox in the attention economy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Shuo Liu & Nick Netzer, 2023. "Happy Times: Measuring Happiness Using Response Times," American Economic Review, American Economic Association, vol. 113(12), pages 3289-3322, December.
    7. Despoina Alempaki & Andrew M. Colman & Felix Kölle & Graham Loomes & Briony D. Pulford, 2022. "Investigating the failure to best respond in experimental games," Experimental Economics, Springer;Economic Science Association, vol. 25(2), pages 656-679, April.
    8. Martin, Daniel & Muñoz-Rodriguez, Edwin, 2022. "Cognitive costs and misperceived incentives: Evidence from the BDM mechanism," European Economic Review, Elsevier, vol. 148(C).

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    More about this item

    Keywords

    Attention allocation; Interrelated games; Inattention; Bounded rationality;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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