Influence of biases in numerical magnitude allocation on human prosocial decision making

被引:1
|
作者
Arshad, Qadeer [1 ]
Nigmatullina, Yuliya [1 ]
Siddiqui, Shuaib [1 ]
Franka, Mustafa [1 ]
Mediratta, Saniya [1 ]
Ramachandaran, Sanjeev [1 ]
Lobo, Rhannon [1 ]
Malhotra, Paresh A. [1 ]
Roberts, R. E. [1 ]
Bronstein, Adolfo M. [1 ]
机构
[1] Imperial Coll London, Div Brain Sci, Charing Cross Hosp Campus, London, England
基金
英国医学研究理事会;
关键词
decision making; dictator game; numerical magnitude allocation; vestibular cognition; MENTAL NUMBER LINE; DIRECT-CURRENT STIMULATION; VESTIBULAR-OCULAR REFLEX; BRAIN-DAMAGE; SOCIAL PREFERENCES; PARIETAL CORTEX; HUMAN ALTRUISM; MODULATION; NEUROBIOLOGY; HEMISPHERE;
D O I
10.1152/jn.00372.2017
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Over the past decade neuroscientific research has attempted to probe the neurobiological underpinnings of human prosocial decision making. Such research has almost ubiquitously employed tasks such as the dictator game or similar variations (i.e., ultimatum game). Considering the explicit numerical nature of such tasks, it is surprising that the influence of numerical cognition on decision making during task performance remains unknown. While performing these tasks, participants typically tend to anchor on a 50: 50 split that necessitates an explicit numerical judgement (i.e., number-pair bisection). Accordingly, we hypothesize that the decision-making process during the dictator game recruits overlapping cognitive processes to those known to be engaged during number-pair bisection. We observed that biases in numerical magnitude allocation correlated with the formulation of decisions during the dictator game. That is, intrinsic biases toward smaller numerical magnitudes were associated with the formulation of less favorable decisions, whereas biases toward larger magnitudes were associated with more favorable choices. We proceeded to corroborate this relationship by subliminally and systematically inducing biases in numerical magnitude toward either higher or lower numbers using a visuo-vestibular stimulation paradigm. Such subliminal alterations in numerical magnitude allocation led to proportional and corresponding changes to an individual's decision making during the dictator game. Critically, no relationship was observed between neither intrinsic nor induced biases in numerical magnitude on decision making when assessed using a nonnumerical-based prosocial questionnaire. Our findings demonstrate numerical influences on decisions formulated during the dictator game and highlight the necessity to control for confounds associated with numerical cognition in human decision-making paradigms. NEW & NOTEWORTHY We demonstrate that intrinsic biases in numerical magnitude can directly predict the amount of money donated by an individual to an anonymous stranger during the dictator game. Furthermore, subliminally inducing perceptual biases in numerical-magnitude allocation can actively drive prosocial choices in the corresponding direction. Our findings provide evidence for numerical influences on decision making during performance of the dictator game. Accordingly, without the implementation of an adequate control for numerical influences, the dictator game and other tasks with an inherent numerical component (i.e., ultimatum game) should be employed with caution in the assessment of human behavior.
引用
收藏
页码:3007 / 3013
页数:7
相关论文
共 50 条
  • [1] Numerical magnitude evaluation as a foundation for decision making
    Olivola, Christopher Y.
    Chater, Nick
    BEHAVIORAL AND BRAIN SCIENCES, 2017, 40 : 35 - 36
  • [2] HUMAN BIASES AND COMPUTER DECISION-MAKING - DISCUSSION
    EVANS, JSBT
    BEHAVIOUR & INFORMATION TECHNOLOGY, 1987, 6 (04) : 483 - 487
  • [3] On Amelioration Of Human Cognitive Biases In Binary Decision Making
    Geng, Baocheng
    Varshney, Pramod K.
    Rangaswamy, Muralidhar
    2019 7TH IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (IEEE GLOBALSIP), 2019,
  • [4] Visual Biases in Decision Making
    Orquin, Jacob L.
    Perkovic, Sonja
    Grunert, Klaus G.
    APPLIED ECONOMIC PERSPECTIVES AND POLICY, 2018, 40 (04) : 523 - 537
  • [5] COGNITIVE BIASES IN DECISION MAKING
    Cortada de Kohan, Nuria
    INTERNATIONAL JOURNAL OF PSYCHOLOGICAL RESEARCH, 2008, 1 (01): : 68 - 73
  • [6] Frames, biases, and rational decision-making in the human brain
    De Martino, Benedetto
    Kumaran, Dharshan
    Seymour, Ben
    Dolan, Raymond J.
    SCIENCE, 2006, 313 (5787) : 684 - 687
  • [7] Influence of behavioral biases while making decision on mutual fund investment
    Bagchi, Sadhna
    Mukherjee, Dewasish
    Mohanty, Debasis
    Verma, Anju
    JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2022, 43 (07): : 1733 - 1747
  • [8] Influence of Antisocial and Psychopathic Traits on Decision-Making Biases in Alcoholics
    Miranda, Robert, Jr.
    MacKillop, James
    Meyerson, Lori A.
    Justus, Alicia
    Lovallo, William R.
    ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2009, 33 (05) : 817 - 825
  • [9] Human decision-making biases in the moral dilemmas of autonomous vehicles
    Frank, Darius-Aurel
    Chrysochou, Polymeros
    Mitkidis, Panagiotis
    Ariely, Dan
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [10] STRATEGIES AND BIASES IN HUMAN DECISION-MAKING AND THEIR IMPLICATIONS FOR EXPERT SYSTEMS
    JACOB, VS
    GAULTNEY, LD
    SALVENDY, G
    BEHAVIOUR & INFORMATION TECHNOLOGY, 1986, 5 (02) : 119 - 140