Social Influences in Sequential Decision Making

Area of Science:

• Cognitive psychology
• Social psychology
• Behavioral economics

Background:

• Human decision-making frequently occurs within social contexts.
• Understanding social influence is crucial for various fields, including medicine and economics.
• Sequential decision-making models explore how individuals integrate private and social information.

Purpose of the Study:

• To investigate social influence in sequential decision-making.
• To quantify the weight individuals assign to private versus social information.
• To examine the role of authority in social influence within medical decision-making.

Main Methods:

• Utilized an information cascade paradigm in two experimental studies.
• Employed a cognitive modeling approach to analyze decision weights.
• Embedded abstract decisions within a medical decision-making scenario in the second study.

Main Results:

• Participants consistently overweight their private information compared to social information.
• Contrary to normative Bayesian models, individuals do not always follow the crowd.
• Social influence is modulated by the perceived authority of others, particularly when their decisions conflict with private information.

Conclusions:

• Individuals integrate social and private information in decision-making, but with a bias towards personal data.
• The authority of others significantly impacts how social information is weighted.
• Findings have implications for understanding judgment and choice in social and medical contexts.