André Didierjean

Investigating implicit statistical learning mechanisms through contextual cueing

Since its inception, the contextual cueing (CC) paradigm has generated considerable interest in various fields of cognitive sciences because it constitutes an elegant approach to understanding how statistical learning (SL) mechanisms can detect contextual regularities during a visual search. In this article we review and discuss five aspects of CC: (i) the implicit nature of learning, (ii) the mechanisms involved in CC, (iii) the mediating factors affecting CC, (iv) the generalization of CC phenomena, and (v) the dissociation between implicit and explicit CC phenomena. The findings suggest that implicit SL is an inherent component of ongoing processing which operates through clustering, associative, and reinforcement processes at various levels of sensory-motor processing, and might result from simple spike-timing-dependent plasticity.

Contextual Cueing Based on Specific and Categorical Properties of the Environment

During the analysis of a visual scene, top-down processing is constantly directing the subjects attention to the zones of interest in the scene. The contextual cueing paradigm developed by Chun and Jiang (1998) shows how contextual regularities can facilitate the search for a particular element via implicit learning mechanisms. The study presented here reports three experiments that used this paradigm. Experiment 1 showed that regularities in the specific elements of the context can act as cues to the location of the target. Experiments 2 and 3 explored a novel aspect of contextual regularities, namely semantic regularities based on the categorization of contextual elements. Contextual cueing effects were obtained when semantic-category membership of the context predicted the target location. Moreover, in all three experiments, contextual cueing effects were obtained implicitly. The results suggest that in target-detection tasks, implicit learning can be based not only on the specific constituents of the context, but also on the semantic categories of those constituents, depending on their predictive power.

Age effects shrink when motor learning is predominantly supported by nondeclarative, automatic memory processes: Evidence from golf putting

Can motor learning be equivalent in younger and older adults? To address this question, 48 younger (M = 23.5 years) and 48 older (M = 65.0 years) participants learned to perform a golf-putting task in two different motor learning situations: one that resulted in infrequent errors or one that resulted in frequent errors. The results demonstrated that infrequent-error learning predominantly relied on nondeclarative, automatic memory processes whereas frequent-error learning predominantly relied on declarative, effortful memory processes: After learning, infrequent-error learners verbalized fewer strategies than frequent-error learners; at transfer, a concurrent, attention-demanding secondary task (tone counting) left motor performance of infrequent-error learners unaffected but impaired that of frequent-error learners. The results showed age-equivalent motor performance in infrequent-error learning but age deficits in frequent-error learning. Motor performance of frequent-error learners required more attention with age, as evidenced by an age deficit on the attention-demanding secondary task. The disappearance of age effects when nondeclarative, automatic memory processes predominated suggests that these processes are preserved with age and are available even early in motor learning.

Semantic Contextual Cuing and Visual Attention

Since M. M. Chun and Y. Jiangs (1998) original study, a large body of research based on the contextual cuing paradigm has shown that the visuocognitive system is capable of capturing certain regularities in the environment in an implicit way. The present study investigated whether regularities based on the semantic category membership of the context can be learned implicitly and whether that learning depends on attention. The contextual cuing paradigm was used with lexical displays in which the semantic category of the contextual words either did or did not predict the target location. Experiments 1 and 2 revealed that implicit contextual cuing effects can be extended to semantic category regularities. Experiments 3 and 4 indicated an implicit contextual cuing effect when the predictive context appeared in an attended color but not when the predictive context appeared in an ignored color. However, when the previously ignored context suddenly became attended, it immediately facilitated performance. In contrast, when the previously attended context suddenly became ignored, no benefit was observed. Results suggest that the expression of implicit semantic knowledge depends on attention but that latent learning can nevertheless take place outside the attentional field.

Dynamic perception in chess

The present study examines the dynamic aspects of perceptual processes in expert chess players. This topic is approached in terms of the anticipation processes carried out by experienced players during the encoding of chess positions. The aim of the first experiment, which used a short-term comparison task, was to stress the role of anticipation, which allows expert players to focus their attention on the area of the studied position where they expect the likely standard move to occur. The second experiment used a long-term recognition task. The results showed that expert players made many false recognitions on the new positions that could be expected from the positions presented in the preliminary study phase. Taken together, the results of the two experiments highlight the anticipatory component of expert perception.

Can expertise modulate representational momentum

Representational momentum (RM) refers to the tendency of participants to “remember” the stopping point of an event as being farther along in the direction of movement than it was in reality (Freyd & Finke, 1984). Our aim was twofold: (1) Test for the impact of domain-specific expertise (here, automobile driving) on RM, using films of road scenes, and (2) find out whether the improved anticipation ability that comes with greater expertise is transferred to scenes from domains that are far-removed from the persons domain of expertise. Two experiments were conducted in which experienced and inexperienced automobile drivers performed a movement-anticipation task on realistic road scenes (Experiment 1), with stimuli that were very different from those found in their domain of expertise (Experiment 2). These studies pointed out some properties of representational momentum, and showed that RM is dependent upon knowledge acquired by participants in specific domains. Our research also showed that expertise in automobile driving can modulate RM in road-scene perception (i.e., the cognitive characteristics of the observer can modulate the magnitude of the RM effect) but that expertise in automobile driving is not transferred to dissimilar domains.

Effect of expertise acquisition on strategic perception: The example of chess

The two experiments presented here study perceptual processes implemented by chess players in situations related to their domain of expertise. The aim was to determine how patterns are perceived as a function of their strategic value when players acquire expertise. In this study, conducted on novice and more experienced players, it is hypothesized that with acquisition of expertise players would quickly encode familiar patterns and then rapidly focus their attention on patterns with a higher immediate strategic value. In Experiment 1, participants had to carry out a change-detection task that used the “flicker paradigm”. The results showed that during the perception of standard chess positions, experienced players—but not novices—quickly focused their attention on the most strategic patterns. In Experiment 2, experienced players and novices carried out a recognition task after having encoded chess positions for 1 or 5 s. The results indicated early encoding of familiar patterns without immediate strategic value, followed by the encoding of more strategic patterns. Taken together, the results of these two experiments are consistent with the results by both de Groot and Gobet (1996) and McGregor and Howes (2002) about the strategic content of Chase and Simons chunks (Chase & Simon, 1973b).

Representational momentum in aviation

The purpose of this study was to examine the effects of expertise on motion anticipation. We conducted 2 experiments in which novices and expert pilots viewed simulated aircraft landing scenes. The scenes were interrupted by the display of a black screen and then started again after a forward or backward shift. The participants task was to determine whether the moving scene had been shifted forward or backward. A forward misjudgment of the final position of the moving scene was interpreted as a representational momentum (RM) effect. Experiment 1 showed that an RM effect was detected only for experts. The lack of motion anticipation on the part of novices is a surprising result for the RM literature. It could be related to scene unfamiliarity, encoding time, or shift size. Experiment 2 was run with novices only. It was aimed at testing the potential impact of 2 factors on the RM effect: scene encoding time and shift size. As a whole, the results showed that encoding time and shift size are important factors in anticipation processes in realistic dynamic situations.

Reducing structural-element salience on a source problem produces later success in analogical transfer: What role does source difficulty play?

Two experiments in reasoning by analogy were conducted to study the role of inducing source difficulty by reducing the salience of the source’s structural elements. Three nonexclusive hypotheses were tested. According to the first, a difficult source problem improves analogical transfer because it increases the probability that the subject will notice the similarity between the source and the target. For example, errors made on both the source and the target can enhance the subject’s awareness of the similarity between the two problems. According to the second hypothesis, a source that is difficult to solve is memorized better than an easier source. According to the third, source-problem difficulty affects the degree of abstractness in the representation of the solution elaborated by subjects. Experiment 1 showed that the higher frequency of spontaneous transfer between the source and the target when the source problem was difficult (Gick & McGarry, 1992) could be replicated in a cued-transfer situation. Experiment 2 showed that subjects given a difficult source, one in which the important element was not very salient, were better at categorizing isomorphic problems on the basis of structural features than were subjects given an easy source. The discussion deals with the implications of these results for the hypotheses tested and, more generally, for reasoning by analogy and education in general.

The emergence of explicit knowledge from implicit learning

Substantial evidence has highlighted the ability of observers to incidentally extract statistical contingencies present in visual environments. This study examined whether the knowledge extracted regarding statistical contingencies is unconscious initially, even when it becomes fully accessible to conscious awareness after extensive training. Using a “typical” contextual cuing procedure adapted to real-world scenes, we first observed that, after extensive training in searching for a target within repeated scenes, knowledge about regularities was associated with conscious awareness (Experiment 1). However, both subjective and objective measures of consciousness revealed that in the early phase of training, learning of regular structures first takes place at an unconscious level (Experiments 2 and 3). These results are discussed in the light of the causal relationships between learning and consciousness.