Whatever the cost? Information integration in memory-based inferences depends on cognitive effort

Area of Science:

• Cognitive Psychology
• Decision Science
• Memory Research

Background:

• The recognition heuristic (RH) is a prominent model for probabilistic inferences from memory, positing judgments solely on recognition.
• Prior research suggests that decision-makers do not always ignore available knowledge, challenging the strict isolationist view of RH.
• Adaptive strategy selection implies a trade-off between accuracy and cognitive effort in judgment processes.

Purpose of the Study:

• To investigate how the accessibility, confidence, and cognitive cost of additional information influence the use of the recognition heuristic (RH).
• To test the hypothesis that information integration depends on the ease of accessing and the confidence in non-recognition information, balanced against cognitive costs.

Main Methods:

• Three experiments were conducted manipulating key factors influencing information integration.
• Independent variables included the availability of non-recognition information, its subjective usefulness, and the cognitive costs of acquisition.
• Participant behavior regarding RH use was measured under these manipulated conditions.

Main Results:

• Recognition heuristic (RH) use significantly decreased as non-recognition information became more easily and confidently integrated.
• Conversely, RH use significantly increased with higher cognitive costs associated with acquiring supplementary information.
• Findings support the adaptive strategy selection framework, highlighting a balance between accuracy and effort.

Conclusions:

• The simple recognition heuristic (RH) is not always employed in isolation; its use is modulated by the characteristics of alternative information.
• Decision-makers adapt their strategies, favoring information integration when it is less cognitively demanding and more reliable.
• Cognitive costs play a crucial role in determining whether individuals rely on simple heuristics or engage in more effortful information processing.