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Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
Implicit Memories01:24

Implicit Memories

Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the $2,000...
The Availability Heuristic01:08

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
Associative Learning01:27

Associative Learning

Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...

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Related Experiment Video

Updated: Jul 11, 2026

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
05:58

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

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Attention dependency in implicit learning of repeated search context.

Valeria Rausei1, Tal Makovski, Yuhong V Jiang

  • 1Harvard University, Cambridge, MA, USA. rausei@form.unitn.it

Quarterly Journal of Experimental Psychology (2006)
|September 14, 2007
PubMed
Summary

Implicit learning of visual search context requires minimal attention. Even with longer attention on similar distractors, implicit learning remained consistent, suggesting attention beyond a threshold offers no significant benefit.

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Area of Science:

  • Cognitive Psychology
  • Visual Perception
  • Learning Sciences

Background:

  • Previous research on implicit learning shows varied attentional requirements.
  • Some tasks demonstrate minimal attention needed, while others are attention-dependent.

Purpose of the Study:

  • To investigate the attentional dependency in implicit learning of repeated visual search contexts.
  • To determine if increased attention enhances implicit learning of search environments.

Main Methods:

  • Participants performed visual search tasks with targets and distractors.
  • Distractors were either highly similar or dissimilar to the target.
  • Contextual cueing effects were measured after repeated exposures.

Main Results:

  • Contextual cueing was similar for both similar and dissimilar distractors.
  • Attention dwell time was significantly longer for highly similar distractors.
  • Implicit learning did not increase proportionally with extended attention.

Conclusions:

  • Implicit learning of visual search context is not highly attention-dependent.
  • Attention beyond a minimal level does not significantly improve implicit learning of contextual cueing.
  • Minimal attention is sufficient for effective implicit learning in this paradigm.