The dynamics of competition and decision-making

被引:0
作者
Morgan, Andrew J. [1 ]
Neal, Andrew [1 ]
Ballard, Timothy [1 ]
机构
[1] Univ Queensland, Sch Psychol, Brisbane, Qld, Australia
关键词
Computational modeling; Decision making; Competition; Dynamics; PERFORMANCE; MOTIVATION; COMPUTER; MODEL; COOPERATION; CHOICE; GAMES;
D O I
10.3758/s13423-024-02523-2
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
We examine the underlying cognitive mechanisms that govern how competitions play out over time. We used cognitive modeling to examine the dynamic effects of time remaining and relative performance (whether the person is winning or losing) on effort and strategy. In this experiment, participants completed a competitive decision-making task with varying time limits and starting scores, in a repeated-measures design. Participants were tasked with scoring more points than their computerized opponent during a certain time frame, gaining and losing points for correct and incorrect decisions, respectively. The results showed that as the competition deadline approached and as participants drew ahead of their opponent within a competition, they increased effort and became more cautious. Furthermore, the effect of relative score on effort and caution changed over the course of a competition as the deadline approached. These results highlight the importance of considering dynamics when working to understand how competitions unfold as well as the underlying cognitive mechanisms that give rise to the dynamic behavior.
引用
收藏
页码:2811 / 2822
页数:12
相关论文
共 45 条
  • [1] Bayesian inference with Stan: A tutorial on adding custom distributions
    Annis, Jeffrey
    Miller, Brent J.
    Palmeri, Thomas J.
    [J]. BEHAVIOR RESEARCH METHODS, 2017, 49 (03) : 863 - 886
  • [2] Information Processing Under Reward Versus Under Punishment
    Ballard, Timothy
    Sewell, David K.
    Cosgrove, Daniel
    Neal, Andrew
    [J]. PSYCHOLOGICAL SCIENCE, 2019, 30 (05) : 757 - 764
  • [3] Complacency and Giving Up Across Repeated Tournaments: Evidence from the Field
    Berger, Leslie
    Klassen, Kenneth J.
    Libby, Theresa
    Webb, Alan
    [J]. JOURNAL OF MANAGEMENT ACCOUNTING RESEARCH, 2013, 25 (01) : 143 - 167
  • [4] Bhui R., 2019, Computational Brain and Behavior, V2, P85, DOI [10.1007/s42113-019-0025-9, DOI 10.1007/S42113-019-0025-9]
  • [5] What's in a Friendship? Partner Visibility Supports Cognitive Collaboration between Friends
    Brennan, Allison A.
    Enns, James T.
    [J]. PLOS ONE, 2015, 10 (11):
  • [6] The simplest complete model of choice response time: Linear ballistic accumulation
    Brown, Scott D.
    Heathcote, Andrew
    [J]. COGNITIVE PSYCHOLOGY, 2008, 57 (03) : 153 - 178
  • [7] Effects of trait competitiveness and perceived intraorganizational competition on salesperson goal setting and performance
    Brown, SP
    Cron, WL
    Slocum, JW
    [J]. JOURNAL OF MARKETING, 1998, 62 (04) : 88 - 98
  • [8] brms: An R Package for Bayesian Multilevel Models Using Stan
    Buerkner, Paul-Christian
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2017, 80 (01): : 1 - 28
  • [9] Stan: A Probabilistic Programming Language
    Carpenter, Bob
    Gelman, Andrew
    Hoffman, Matthew D.
    Lee, Daniel
    Goodrich, Ben
    Betancourt, Michael
    Brubaker, Marcus A.
    Guo, Jiqiang
    Li, Peter
    Riddell, Allen
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2017, 76 (01): : 1 - 29
  • [10] Computer anthropomorphisation in a socio-economic dilemma
    Cogoni, Carlotta
    Fiuza, Angelica
    Hassanein, Leslie
    Antunes, Marilia
    Prata, Diana
    [J]. BEHAVIOR RESEARCH METHODS, 2024, 56 (02) : 667 - 679