Inefficient prioritization of task-relevant attributes during instrumental information demand

Area of Science:

• Cognitive psychology
• Decision science
• Behavioral economics

Background:

• Humans frequently encounter complex situations with multiple attributes requiring information gathering.
• Understanding how individuals select which information to pursue is crucial for decision-making research.
• Current knowledge is limited regarding the strategies people employ to identify the most predictive information.

Purpose of the Study:

• To investigate how individuals select attributes for information gathering in multi-attribute scenarios.
• To determine if people efficiently identify observations that best predict overall outcomes.
• To explore the relationship between individual differences in information-seeking strategies and personality traits.

Main Methods:

• Participants engaged in a simplified information-demand task.
• The study assessed attribute selection efficiency in relation to predicting total payoff.
• Experimental conditions manipulated the rewards associated with informative versus uninformative observations.
• Personality metrics were collected and correlated with information-seeking behavior.

Main Results:

• Participants demonstrated inefficient querying, favoring attributes with high individual value over those with high predictive informativeness.
• This inefficiency persisted even when it led to significantly reduced rewards.
• Individual differences in sensitivity to informativeness correlated with personality traits.
• Negative correlations were found with extraversion and thrill-seeking; positive correlations with stress tolerance and need for cognition.

Conclusions:

• People employ sub-optimal strategies when selecting informative queries in multi-attribute decision-making.
• These inefficient strategies are associated with specific personality traits.
• Understanding these associations can shed light on consequential choices and cognitive biases.