The common barriers to successful problem-solving include the following, EXCEPT -

Correct option is B

Barriers to problem-solving are cognitive biases or rigid thinking patterns that prevent effective solutions. The incorrect option in this context is Subgoals, because subgoals actually help in problem-solving rather than being a barrier.

Correct Analysis of Each Option:
Functional Fixedness (1) – Barrier to Problem-Solving
A cognitive bias where people only see objects in their conventional use, preventing creative solutions.
Example: Failing to use a coin as a screwdriver because it’s only seen as currency.

Mental Sets (3) – Barrier to Problem-Solving
A rigid way of thinking where a person sticks to past solutions instead of considering new strategies.
Example: Using the same strategy to solve puzzles even when a new method is needed.

Confirmation Bias (4) – Barrier to Problem-Solving
The tendency to favor information that confirms one’s preexisting beliefs while ignoring contradictory data.
Example: A manager only considering feedback that supports their decisions, ignoring criticism.
Thus, the correct answer is Option 2 (Subgoals), as it is not a barrier but a useful strategy in problem-solving.

Information Booster:
1. Common problem-solving barriers include:
-Functional Fixedness (Inability to see new uses for objects).
-Mental Set (Sticking to old methods even when ineffective).
-Confirmation Bias (Ignoring evidence that contradicts beliefs).
-Overconfidence Bias (Overestimating one's ability to solve problems).
-Framing Effect (Being influenced by how a problem is presented).
2. Effective problem-solving techniques include:
-Breaking problems into subgoals (step-by-step approach).
-Brainstorming multiple solutions to avoid fixation.
-Using analogies to find creative solutions.
-Taking breaks to overcome mental blocks.
3. Subgoals improve problem-solving efficiency by reducing cognitive load.
4. Studies show that people who set subgoals perform better in complex tasks.
5.The Gestalt approach to problem-solving emphasizes restructuring the problem to gain insight.
6. Artificial intelligence (AI) uses subgoals in machine learning to improve efficiency.
7. Cognitive flexibility (ability to switch thinking patterns) is key to overcoming problem-solving barriers.