Bothered by abstraction: the effect of expertise on knowledge transfer and subsequent novice performance.

Although experts should be well positioned to convey their superior knowledge and skill to novices, the organization of that knowledge, and particularly its level of abstraction, may make it difficult for them to do so. Using an electronic circuit-wiring task, the authors found that experts as compared with beginners used more abstract and advanced statements and fewer concrete statements when providing task instructions to novices. In a 2nd study, the authors found that beginner-instructed novices performed better than expert-instructed novices and reported fewer problems with the instructions when performing the same task. In Study 2, the authors found that although novices performed better on the target task when instructed by beginners, they did better on a different task within the same domain when instructed by experts. The evidence suggests that the abstract, advanced concepts conveyed by experts facilitated the transfer of learning between the different tasks.     

Hemisphere specialization of Go experts in visuospatial processing

To investigate hemisphere function of experts, Go experts and novices were given two Salthouse-type visuospatial tasks. In Experiment 1, stimuli of 4 digits in 6 cells were projected to the left (LVF) or right visual field (RVF). There was no prominent group difference in identification of digits and locations. In Experiment 2, stimuli of 4 digits in 16 cells were projected to the LVF or RVF. Go experts showed more accurate performance than novices. Both groups showed the same laterality, an RVF advantage, in the number identification. However, in the location identification, Go experts showed no visual field difference, whereas novices showed an RVF advantage. Based on these findings, the relationship between task demand and hemisphere function of experts is discussed.     

Temporal Sequences Quantify the Contributions of Individual Fixations in Complex Perceptual Matching Tasks

Perceptual tasks such as object matching, mammogram interpretation, mental rotation, and satellite imagery change detection often require the assignment of correspondences to fuse information across views. We apply techniques developed for machine translation to the gaze data recorded from a complex perceptual matching task modeled after fingerprint examinations. The gaze data provide temporal sequences that the machine translation algorithm uses to estimate the subjects' assumptions of corresponding regions. Our results show that experts and novices have similar surface behavior, such as the number of fixations made or the duration of fixations. However, the approach applied to data from experts is able to identify more corresponding areas between two prints. The fixations that are associated with clusters that map with high probability to corresponding locations on the other print are likely to have greater utility in a visual matching task. These techniques address a fundamental problem in eye tracking research with perceptual matching tasks: Given that the eyes always point somewhere, which fixations are the most informative and therefore are likely to be relevant for the comparison task?     

An expert–novice comparison of feature choice

Perceptual experts have learned to rapidly and accurately perceive the structural regularities that define categories and identities within a domain. They extract important features and their relations more efficiently than novices. We used fingerprint examination to investigate expert–novice differences in feature choice. On each fingerprint within our set, experts and novices selected one feature they thought was most useful for distinguishing a particular print and one feature they thought was least useful. We found that experts and novices often differed in the features they chose, and experts tended to agree more with each other. However, any such expert–novice difference appeared to depend on the image at hand typically emerging when salient or more conspicuous features of a fingerprint were unclear. We suggest that perceptual training ought to direct attention to useful features with the understanding that what is useful may change depending on the clarity of the stimuli.     

Prompt comprehension in UNIX command production

We hypothesize that a cognitive analysis based on the construction-integration theory of comprehension (Kintsch, 1988) can predict what is difficult about generating complex composite commands in the UNIX operating system. We provide empirical support for assumptions of the Doane, Kintsch, and Polson (1989, 1990) construction-integration model for generating complex commands in UNIX. We asked users whose UNIX experience varied to produce complex UNIX commands, and then provided help prompts whenever the commands that they produced were erroneous. The help prompts were designed to assist subjects with respect to both the knowledge and the memory processes that our UNIX modeling efforts have suggested are lacking in less expert users. It appears that experts respond to different prompts than do novices. Expert performance is helped by the presentation of abstract information, whereas novice and intermediate performance is modified by presentation of concrete information. Second, while presentation of specific prompts helps less expert subjects, they do not provide sufficient information to obtain correct performance. Our analyses suggest that information about the ordering of commands is required to help the less expert with both knowledge and memory load problems in a manner consistent with skill acquisition theories.     

Expertise in the Game of Go and Levels of Visuospatial and Pattern Recognition Abilities

The results of existing research indicate higher levels of visuospatial and pattern recognition abilities in experts in the game of Go compared to novices. However, the tasks included in the research have been focused only on Go‐game situations. This study aimed to verify the hypothesis that experts in the game of Go would achieve higher scores, compared to novices, on behavioral tests measuring visuospatial abilities and that pattern recognition tests would be a predictor of group membership (experts, low‐skill players, novices). We consider that the game of Go can be treated as a special case of tasks related to visuospatial abilities and pattern recognition. Sixty men participated in the study, including 17 experts in the game of Go, 13 low‐skill players, and 30 novices. The results of behavioral tests—the advanced version of Raven's Progressive Matrices and the APIS‐Z Test's Visuospatial Abilities subscale, which measure pattern recognition and visuospatial abilities, respectively—confirmed the hypotheses.     

Regressive Imagery in Creative Problem‐Solving: Comparing Verbal Protocols of Expert and Novice Visual Artists and Computer Programmers

We applied computer‐based text analyses of regressive imagery to verbal protocols of individuals engaged in creative problem‐solving in two domains: visual art (23 experts, 23 novices) and computer programming (14 experts, 14 novices). Percentages of words involving primary process and secondary process thought, plus emotion‐related words, were tabulated. Visual art protocols were higher in primary process thought and emotion‐related words; those from programming were higher in secondary process thought. Almost no main effects of expertise or interactions were found. Correlations between the measures (particularly those involving emotion‐related words) also varied as a function of task. This pattern suggests cognitive processes vary considerably across different creative problem‐solving tasks or domains, and that a more domain‐specific approach to creative cognition may be advisable. Further implications for integrating and consolidating some extant lines of creativity research are discussed.     

Attentional strategies for studying scientific texts

Content-area novices develop rules as to what types of information (e.g., definitions, facts, equations) are important in texts (Dee-Lucas & Larkin, 1988). The study reported here indicates that these rules influence text learning. Experts and novices read and recalled science texts. Reading times and recall for different types of content were compared for the two groups. Results indicate that novices’ importance rules function as part of novices’ control schema during reading, influencing their attentional processes and the resulting representation formed for the text. This was evident in qualitative differences between experts and novices in their attentional patterns and text recall. The study also found that the number of passage readings and the passage topic have a greater influence on the reading times of exports, but both groups adjust processing time according to the hierarchical level of the passage content. The findings are discussed in terms of their implications for novices learning from texts.     

Categorization and representation of physics problems by experts and novices

The representation of physics problems in relation to the organization of physics knowledge is investigated in experts and novices. Four experiments examine (a) the existence of problem categories as a basis for representation; (b) differences in the categories used by experts and novices; (c) differences in the knowledge associated with the categories; and (d) features in the problems that contribute to problem categorization and representation. Results from sorting tasks and protocols reveal that experts and novices begin their problem representations with specifiably different problem categories, and completion of the representations depends on the knowledge associated with the categories. For, the experts initially abstract physics principles to approach and solve a problem representation, whereas novices base their representation and approaches on the problem's literal features.     

专家和新手问题解决认知活动特征的研究

采用口语报告技术对专家和新手解决同类问题的认知活动差异进行分析和评价。结果表明,专家和新手在解决问题时具有不同的编码程序．专家贮存信息以组块化（chunking）方式进行,并能熟练地运用手段─目的分析策略,利用课题中的信息向前解,能正确表征产生式,最大特点是具有概括性和抽象性。新手贮存信息的形式和数量与专家存在着差异,在解决问题时较多进行盲目搜索,一般根据课题中的问题往回解,其内部表征较零乱,具体细节多,解题速度较慢。     

CAT: A tool for eliciting knowledge on how to perform procedures

Procedural tasks involve context-sensitive sequences of actions that are performed in pursuit of goals. Procedural knowledge specifies how to do something (e.g., repairing a car) but not how the physical system works (e.g., how the engine works). We have developed a computer program that elicits procedural knowledge from individuals with varying amounts of domain knowledge (ranging from novices to experts) and varying amounts of computer literacy. The tool is called CAT (cognitive analysis tool). CAT is an extension of a class of cognitive models known as GOMS, which stands for goals, operators, methods, and selection rules. The tool guides the user in articulating the goals (and subgoals) the user wants to accomplish, the operators (actions, steps) to accomplish each goal, the alternative methods of accomplishing goals, the conditions in which each method is applied, and exceptional circumstances when goals are suspended and restarted. CAT can be used on most IBMcompatible microcomputers.     

Ritual Body Postures: Empirical Study of a Neurophysiological Unique Altered State of Consciousness

This study examines ritual body postures (RBPs), a technique for the induction of a unique altered state of consciousness (ASC) characterized by the paradoxical arousal of a combined trophotropic and ergotropic trance. The objectives were (a) to test the specificity of RBPs, (b) to describe effects on daily life, and (c) to analyze experts and novices regarding the aforementioned objectives. The study was conducted over a ten-month period with 19 participants. Participant observation and open-ended interviews were conducted, and previous experiences with RBPs and ASCs were assessed. Experience-focused interviews were conducted with four novices and four experts. (a) No specificity of the RBPs was noted; (b) effects on daily life included higher awareness of the body, mind, and social interactions, above all a better understanding of the participant's biography, increased self-care and self-assertion, and higher levels of tolerance and acceptance; (c) novices described more tactile and nociceptive experiences, experts more visionary experiences. Considering effects on daily life, no differences were detected between novices and experts. ASC experiences while in RBPs serve the satisfaction of basic needs that are central to counseling and psychotherapy. Due to their unique paradoxical arousal, RBPs open up an independent research field for future studies on ASCs.     

Influence of Domain Knowledge on Monitoring Performance Across the Life Span

Two studies were conducted to investigate effects of domain knowledge on metacognitive monitoring across the life span in materials of different complexity. Participants from 4 age groups (3rd-grade children, adolescents, younger and older adults) were compared using an expert–novice paradigm. In Study 1, soccer experts’ and novices’ ease-of-learning judgments (EOLs), judgments of learning (JOLs), and confidence judgments (CJs) were contrasted when memorizing soccer-related word pairs. In Study 2, monitoring judgments (i.e., a rating of global comprehension, JOLs, and CJs) were collected in regards to a soccer-related narrative. The results of both approaches showed that experts’ better memory performance obtained in both studies was not always accompanied by advantages in monitoring performance. In Study 1, experts of all ages outperformed novices in monitoring accuracy. In Study 2, no benefits of expertise on monitoring were found; in children, novices even surpassed experts in monitoring quality. In both studies, the most consistent influence of previous domain knowledge on monitoring performance concerned more optimistic judgments of experts compared with novices, regardless of stimuli and recall format. In sum, our results document a twofold effect of expertise on monitoring. Although domain-specific knowledge enhances monitoring performance in some situations, more optimistic estimates, presumably due to the application of a familiarity heuristic, typically reduce experts’ monitoring accuracy.     

Expertise-related differences in conceptual and ontological knowledge in the legal domain

Little research has been conducted on expertise-related differences in conceptual and ontological knowledge in law, even though this type of knowledge is prerequisite for correctly interpreting and reasoning about legal cases, and differences in conceptual and ontological knowledge structures between students and between students and teachers, might lead to miscommunication. This study investigated the extent and organisation of conceptual and ontological knowledge of novices, advanced students, and experts in law, using a card-sorting task and a concept-elaboration task. The results showed that novices used more everyday examples and were less accurate in their elaborations of concepts than advanced students and experts, on top of that, the organisation of their knowledge did not overlap within their group (i.e., no “shared” ontology). Experts gave more judicial examples based on the lawbook and were more accurate in their elaborations than advanced students, and their knowledge was strongly overlapping within their group (i.e., strong ontology). Incorrect conceptual knowledge seems to impede the correct understanding of cases and the correct application of precise and formal rules in law.     

Decision making and professional experience: an experimental study of generating, evaluating and modifying diagnostic hypotheses

Experimental investigations on generation, evaluation, and modification of diagnostic hypotheses in symptom pattern classification revealed in different domains (e.g. clinical decision making) that reasoning in non-experts and experts differ in the 'content' (e.g. issue-directed substance of concepts) rather than in the 'form' of reasoning (e.g. number, specificity of hypotheses). These results are essentially accounted for by the experts' upper-level flexibility in the interpretation of data. In a two-factorial design (competence x predictive value of data), patients' clinical data with varying predictive value were given singularly in succession to two groups (experts and novices; n = 20) of subjects. The task of the subjects was (a) to name their assumptions and (b) give a summarizing decision on the--probable--diagnostic category of hypothetical cases. Results: Between experts and novices no difference was found in the number and degree of specification of hypotheses; in summarizing decisions, experts considered more categories as plausible than novices; on patient data with low predictive value, experts considered more specific categories. The moment of hypothesis formation depends not on the competence level but on the predictive value of the patient's clinical data.     

Familiarity,relative distinctiveness,and the generation effect

In Experiment 1, psychology experts and novices showed generation effects with both psychology related and other words. In Experiment 2, music experts who were sports novices and sports experts who were music novices showed a generation effect in a recognition test for all words regardless of domain (music or sports). Moreover, the effect was greater for words from the subjects’ “nonexpertise” area. In Experiments 3A and 3B, music experts showed a greater generation effect for sports words than for music words in a free recall test but only when the sports and music words were studied together. These results are inconsistent with the semantic elaboration -requirement for the generation effect that predicts less of an effect, if any, with less familiar materials. Rather, they provide evidence for the idea that the generation effect is influenced by relative distinctiveness of the to-be-remembered items.     

The influence of degree of expertise and objective task complexity on perceived task complexity and performance

Research on expertise has shown that nonexperts may sometimes outperform experts. Some researchers have suggested that superior performance by experts depends on the match between the experts' cognition and the demands of the task. The authors explored this issue using a quasi-experiment set in an organization. They examined how 3 sets of similar tasks that differ in their type of complexity can lead to differences in task perceptions and performance among experts, intermediates, and novices. The results suggest that experts and novices pay attention to different aspects of a task and that this affects both their perceptions of task complexity (i.e., task analyzability and variability) and their performance on the task.     

Experts’ memory: an ERP study of perceptual expertise effects on encoding and recognition

This study examined how perceptual expertise facilitates encoding and recognition. The electroencephalogram of car experts and car novices was recorded in the study as well as test phases of a remember/know task with car and bird stimuli. Car expertise influenced performance and event-related potentials (ERPs) for cars but not birds. Experts recognized and “recollected” cars more accurately, while novices had more false alarms. The ERPs provided neural evidence for theoretical assumptions about expert memory. Memory encoding in the study phase was less effortful and more elaborate for experts than novices, as indicated by lower mean amplitudes for subsequently “recollected” cars and by indistinguishable differences due to memory for recollection and familiarity. The parietal old/new effect, a correlate of recollection measured during recognition testing, was only found for experts. The results show that refined perceptual and semantic processing, characteristics of perceptual expertise, facilitate both memory encoding and recognition memory.     

Learning,Motor Skill,and Long-Range Correlations

Long-range correlations have been evidenced in a number of experiments, generally using overlearned and overpracticed tasks. The authors hypothesized that long-range correlation could represent the byproduct of learning. They analyzed the series of periods produced by a group of expert and a group of novices during prolonged trials on a ski simulator. Results showed a very low variability in expert's series, as compared to novices. Fractal analyses showed that fluctuations were significantly more structured and correlated in experts. These results suggest that learning could be conceived as the progressive installation of complexity in the system.