内隐社会认知的研究方法综述

内隐社会认知(implicit social cognition)是指在社会认知过程中虽然个体不能回忆某一过去经验(如用自我报告法或内省法),但这一经验潜在地对个体的行为和判断产生影响。内隐社会认知研究采用的是内隐记忆的间接测量技术和方法,使原来行为主义、精神分析学派等无法实证研究的内部心理过程得到了直接的实验室观察。将人的认知过程的两个方面结合起来考察,具有更为全面的理论基础。随着内隐记忆研究方法的不断进步与创新,内隐社会认知已成为社会认知领域的一个研究热点。     

Distinguishing the contributions of implicit and explicit processes to performance of the weather prediction task

Examinations of the cognitive neuroscience of category learning frequently rely on probabilistic classificationlearning Tasks—namely, the weather prediction task (WPT)—to study the neural mechanisms of implicit learning. Accumulating evidence suggests that the task also depends on explicit-learning processes. The present investigation manipulated the WPT to assess the specific contributions of implicit- and explicit-learning processes to performance, with a particular focus on how the contributions of these processes change as the task progresses. In Experiment 1, a manipulation designed to disrupt implicit-learning processes had no effect on classification accuracy or the distribution of individual response strategies. In Experiment 2, by contrast, a manipulation designed to disrupt explicit-learning processes substantially reduced classification accuracy and reduced the number of participants who relied on a correct response strategy. The present findings suggest that WPT learning is not an effective tool for investigating nondeclarative learning processes     

Testing the semantic differential as a model of task processes with the implicit association test

In this study, we examined the hypothesis that semantic judgment tasks share overlapping processes if they require processing on common dimensions but not if they require processing on orthogonal dimensions in semantic space (Osgood, Suci, & Tannenbaum, 1957). We tested the hypothesis with the implicit association test (IATl Greenwald, McGhee, & Schwartz, 1998) in three experiments. Consistent with the hypothesis, IAT effects (costs in reaction time because of incompatible response mapping between associated judgment tasks) occurred consistently when judgment tasks tapped into common semantic dimensions, whereas no IAT effect appeared when judgment tasks entailed processing on orthogonal semantic dimensions.     

The single category implicit association test as a measure of implicit social cognition

The Single Category Implicit Association Test (SC-IAT) is a modification of the Implicit Association Test that measures the strength of evaluative associations with a single attitude object. Across 3 different attitude domains--soda brand preferences, self-esteem, and racial attitudes--the authors found evidence that the SC-IAT is internally consistent and makes unique contributions in the ability to understand implicit social cognition. In a 4th study, the authors investigated the susceptibility of the SC-IAT to faking or self-presentational concerns. Once participants with high error rates were removed, no significant self-presentation effect was observed. These results provide initial evidence for the reliability and validity of the SC-IAT as an individual difference measure of implicit social cognition.     

The combination of explicit and implicit learning processes in task control

Summary Two experiments look at the combination of explicit and implicit learning processes on a single task. Subjects are required to control the rate of sugar output in a small sugar production factory while maintaining cordial relations with the union. Experiment 1 investigates whether subjects can learn to control this task, which relies on their knowing about both salient and nonsalient relationships. It looks at how performance on the task relates to explicit verbalisable knowledge (as assessed by written questionnaire). Experiment 2 considers alternative ways of tapping the more implicit aspects of subjects' knowledge.     

Comparison of implicit and explicit learning processes in a probabilistic task

This experiment compared the performance with explicit (rule-application and rule-discovery) and implicit (nonrule-instructed) learning approaches on the performance of a probabilistic video game task requiring fine motor control. The task required visual tracking of a small ball of light and "catching" it by means of joystick manipulation. A general pattern of improvement with practice occurred for all conditions. All conditions showed use of predictive relations among stimulus events. However, task performance of the rule-application and rule-discovery conditions were inferior to the nonrule-instructed implicit condition, particularly during the early phases of rule acquisition and application. This pattern strongly suggests substantial performance costs associated with attempting to discover or apply probabilistic rules. Decrements are likely due to increased cognitive demands associated with attempting to remember and strategically apply provided probability rules or attempting to discover and apply potentially important and useful probability information from a complex visual display.     

Dissociating automatic and controlled processes in a memory-search task: Beyond implicit memory

Our goal in this paper was to examine the processes that give rise to action slips. Procedures used to examine implicit memory and automatic processes were found to be unsatisfactory. However, the process-dissociation procedure proved useful for examining the contribution of the automatic and controlled processes underlying performance. The procedure was used in conjunction with a Sternberg memory-search task to examine the effects of set size, response speed, and stimulus-response mapping on controlled and automatic processes. The formulation allowed us to predict accurately how subjects would perform in a varied mapping condition. Moreover, set size and response speed were found to influence the controlled search process, but to leave the automatic influences unaffected. Stimulus-response mapping, on the other hand, was found to lead to probability matching in the automatic processes; this pattern was found to remain constant across changes in set size and response speed.     

Accessibility effects on implicit social cognition: the role of knowledge activation and retrieval experiences

Performance on measures of implicit social cognition has been shown to vary as a function of the momentary accessibility of relevant information. The present research investigated the mechanisms underlying accessibility effects of self-generated information on implicit measures. Results from 3 experiments demonstrate that measures based on response compatibility processes (e.g., Implicit Association Test, affective priming with an evaluative decision task) are influenced by subjective feelings pertaining to the ease of retrieving relevant information from memory, whereas measures based on stimulus compatibility processes (e.g., semantic priming with a lexical-decision task) are influenced by direct knowledge activation in associative memory. These results indicate that the mediating mechanisms underlying context effects on implicit measures can differ as a function of the task even when these tasks show similar effects on a superficial level. Implications for research on implicit social cognition and the ease-of-retrieval effect are discussed.     

Endogenous task shift processes in relapsing-remitting multiple sclerosis

This paper reports a study that was aimed to evaluate executive functions in relapsing-remitting multiple sclerosis patients. The groups tested comprised 22 relapsing-remitting multiple sclerosis patients, and 22 non-brain damaged controls. When one is engaged in two speeded tasks, not simultaneously but with some form of alternation, it is slower to respond to an item of task A if it was preceded by an item of task B, than when it was preceded by an item of task A. Shifts between sets of cognitive operations can be internally or externally generated. Endogenous task shift refers to advance preparation for the new task. In the present study, we tested endogenous shift cost in relapsing-remitting multiple sclerosis patients. The results indicate a greater shift cost for patients than for non-brain damaged controls.     

The tuning-fork model of human social cognition: a critique

The tuning-fork model of human social cognition, based on the discovery of mirror neurons (MNs) in the ventral premotor cortex of monkeys, involves the four following assumptions: (1) mirroring processes are processes of resonance or simulation. (2) They can be motor or non-motor. (3) Processes of motor mirroring (or action-mirroring), exemplified by the activity of MNs, constitute instances of third-person mindreading, whereby an observer represents the agent's intention. (4) Non-motor mirroring processes enable humans to represent others' emotions. After questioning all four assumptions, I point out that MNs in an observer's brain could not synchronically resonate with MNs in an agent's brain unless they discharged in a single brain in two distinct tasks at different times. Finally, I sketch a conceptualist alternative to the resonance model according to which a brain mechanism active in both the execution and the perception of e.g., the act of grasping is the neural basis of the concept of e.g., grasping.     

“Meaningful” social inferences: Effects of implicit theories on inferential processes

Perceivers’ shared theories about the social world have long featured prominently in social inference research. Here, we investigate how fundamental differences in such theories influence basic inferential processes. Past work has typically shown that integrating multiple interpretations of behavior during social inference requires cognitive resources. However, three studies that measured or manipulated people’s beliefs about the stable versus dynamic nature of human attributes (i.e., their entity vs. incremental theory, respectively) qualify these past findings. Results revealed that, when interpreting others’ actions, perceivers’ theories selectively facilitate the consideration of interpretations that are especially theory-relevant. While experiencing cognitive load, entity theorists continued to incorporate information about stable dispositions (but not about dynamic social situations) in their social inferences, whereas incremental theorists continued to incorporate information about dynamic social situations (but not about stable traits). Implications of these results for how perceivers find meaning in behavior are discussed.     

Sources of confidence judgments in implicit cognition

Subjective reports of confidence are frequently used as a measure of awareness in a variety of fields, including artificial grammar learning. However, little is known about what information is used to make confidence judgments and whether there are any possible sources of information used to discriminate between items that are unrelated to confidence. The data reported here replicate an earlier experiment by Vokey and Brooks (1992) and show that grammaticality decisions are based on both the grammatical status of items and their similarity to study exemplars. The key finding is that confidence ratings made on a continuous scale (50%—100%) are closely related to grammaticality but are unrelated to all of the measures of similarity that were tested. By contrast, confidence ratings made on a binary scale (high vs. low) are related to both grammaticality and similarity. The data confirm an earlier finding (Tunney & Shanks, 2003) that binary confidence ratings are more sensitive to low levels of awareness than continuous ratings are and suggest that participants are conscious of all the information acquired in artificial grammar learning.     

Personality and the use of intuition: individual differences in strategy and performance on an implicit learning task

There is a divergence of opinion regarding the existence of individual differences in the use of intuition, ranging from intuition being the preserve of a creative minority to intuition as a basic cognitive process that is equally accessible to all. The existence and nature of individual differences in the use of intuition were explored by studying relationships between the sensing–intuition scale of the Myers–Briggs Type Indicator and strategy and performance on an implicit learning task. Results indicated differences in strategy and performance in implicit learning between sensing and intuitive types. Intuitive types were more likely to report a strategy of using intuition; sensing types were more likely to use explicit knowledge. In addition, intuitive types were more accurate than sensing types in their intuition. Thus, the position that there are individual differences in the use of intuition has been supported. Copyright © 2000 John Wiley & Sons, Ltd.     

Exhaustive and heuristic retrieval processes in person cognition: further tests of the TRAP model

The twofold retrieval by associative pathways (TRAP) model (L. Garcia-Marques & D. L. Hamilton, 1996) proposes that two distinct modes of retrieval typically underlie recall and frequency estimation. The model accounts for the simultaneous occurrence of greater recall of incongruent information and higher frequency estimation of congruent information. Three experiments provided further tests of the TRAP model. Experiment 1 manipulated cognitive load (at encoding and at retrieval) and the selectivity of the retrieval goal. Under either high load or a selective retrieval goal, incongruent items ceased to be better recalled. Experiment 2 manipulated the accessibility of expectancy-congruent, -incongruent, or -neutral episodes and found corresponding effects in frequency estimates. Finally, Experiment 3 showed that providing part-list retrieval cues inhibits recall but increases frequency estimates. The TRAP model predicted these results.     

Individuals and dyads in a multiple-cue judgment task: Cognitive processes and performance

Virtually all studies of multiple-cue judgment focus on the learning by individuals. In a multiple-cue judgment task the authors examined if people acquire rule or exemplar knowledge as a function of learning the task alone or in dyads. Learning in dyads was expected to promote explicit rule-based thinking as a consequence of verbalization (social abstraction effect) and to improve performance due to the larger joint exemplar knowledge base (exemplar pooling effect). In two experiments the results suggest more accurate judgment by dyads, evidence for an exemplar pooling effect, but no evidence for the social abstraction effect. In contrast to most previous research, social interaction proved beneficial and allowed the dyads to surpass their combined individual performance.     

Applying an exemplar model to an implicit rule-learning task: Implicit learning of semantic structure

Studies of implicit learning often examine peoples’ sensitivity to sequential structure. Computational accounts have evolved to reflect this bias. An experiment conducted by Neil and Higham [Neil, G. J., & Higham, P. A.(2012). Implicit learning of conjunctive rule sets: An alternative to artificial grammars. Consciousness and Cognition, 21, 1393–1400] points to limitations in the sequential approach. In the experiment, participants studied words selected according to a conjunctive rule. At test, participants discriminated rule-consistent from rule-violating words but could not verbalize the rule. Although the data elude explanation by sequential models, an exemplar model of implicit learning can explain them. To make the case, we simulate the full pattern of results by incorporating vector representations for the words used in the experiment, derived from the large-scale semantic space models LSA and BEAGLE, into an exemplar model of memory, MINERVA 2. We show that basic memory processes in a classic model of memory capture implicit learning of non-sequential rules, provided that stimuli are appropriately represented.     

Past midnight: Semantic processing in an implicit learning task

Four experiments are reported which examine the nature of representations underlying an implicit learning task. When shown a series of clock faces, each bearing a time between 6 and 12 o'clock, subjects subsequently show a selection preference for novel clock faces between these times. Furthermore, they show no signs of being aware of the underlying rule governing this preference. This effect is also present when the representation of time of day is changed from analogue to digital between learning and test. In the final experiment subjects show no preference for seen over unseen clocks between these critical times. These data suggest that, for this particular task, implicit learning involves abstract representations.