Categories Of Expertise Research Articles

Low levels of agreement among experts using best professional judgment to assess benthic condition in the San Francisco Estuary and Delta

Benthic indices to support aquatic environmental condition assessments have been more effectively developed for higher than lower salinity habitats. Here we quantify agreement among benthic experts using best professional judgment to assess community condition of mesohaline and tidal freshwater samples from the San Francisco Estuary and Delta, and compare that to a previous study for San Francisco Estuary polyhaline samples. Benthic species abundance data from 20 sites in each habitat were provided to 7 tidal freshwater, and 8 mesohaline, experts who ranked the samples from best to worst condition and placed the samples into 4 condition categories. The average correlation among expert's condition rankings was only 0.38 and 0.29 in the mesohaline and tidal freshwater habitats, respectively, compared to 0.92 in the previous polyhaline study. Pair-wise agreement among expert condition categories averaged 41% and 39%, compared to 70% in the polyhaline. Based on post-exercise discussions among the experts, the differences in agreement among habitats appears related to the use of different indicator taxa and to disturbance regimes in the lower salinity habitats that select for higher proportions of tolerant taxa, confounding assessments at the current level of understanding of benthic response in these habitats. Regardless of the reason, the absence of a clear conceptual model and agreement among benthic ecologists about benthic condition makes index development more difficult in low salinity estuarine and tidal freshwater habitats.

Attitudes of Slovene teachers towards the inclusion of pupils with different types of special needs in primary school

Numerous studies show that a successful implementation of inclusion of children with special needs (SN) largely depends on the teachers’ positive attitude towards it. The empirical research that is presented in the main part of the article analyses attitudes of a representative sample of Slovene teachers (n = 1360) regarding four domains of impact (impact of inclusion on pupils with SN, on peers, on teachers and on the classroom environment). In this, we controlled the role of the following two relevant characteristics of the sample: the category of SN (physical impairments, mild intellectual disabilities, learning difficulties and behavioural/emotional disorders) and the category of professional expertise of teachers in working with pupils with SN. We applied the Impact of Inclusion Questionnaire. The results show that teachers’ attitudes towards inclusion are determined by the type of SN the integrated pupils have. In the case of pupils with physical impairments, teachers expressed the highest level of consent and the lowest in the case of pupils with behavioural and emotional disorders. Our study shows that besides the type of SN, teachers’ professional expertise in working with pupils with SN is another important factor that determines the level of agreement with inclusion. It turned out that the teachers who had taken part in different forms of education and training had a more positive attitude towards all domains of impact.

Irrelevant objects of expertise compete with faces during visual search

Prior work suggests that nonface objects of expertise can interfere with the perception of faces when the two categories are alternately presented, suggesting competition for shared perceptual resources. Here, we ask whether task-irrelevant distractors from a category of expertise compete when faces are presented in a standard visual search task. Participants searched for a target (face or sofa) in an array containing both relevant and irrelevant distractors. The number of distractors from the target category (face or sofa) remained constant, whereas the number of distractors from the irrelevant category (cars) varied. Search slopes, calculated as a function of the number of irrelevant cars, were correlated with car expertise. The effect was not due to car distractors grabbing attention, because they did not compete with sofa targets. Objects of expertise interfere with face perception even when they are task irrelevant, visually distinct, and separated in space from faces.

Human Motion Tracking by Temporal-Spatial Local Gaussian Process Experts

Human pose estimation via motion tracking systems can be considered as a regression problem within a discriminative framework. It is always a challenging task to model the mapping from observation space to state space because of the high-dimensional characteristic in the multimodal conditional distribution. In order to build the mapping, existing techniques usually involve a large set of training samples in the learning process which are limited in their capability to deal with multimodality. We propose, in this work, a novel online sparse Gaussian Process (GP) regression model to recover 3-D human motion in monocular videos. Particularly, we investigate the fact that for a given test input, its output is mainly determined by the training samples potentially residing in its local neighborhood and defined in the unified input-output space. This leads to a local mixture GP experts system composed of different local GP experts, each of which dominates a mapping behavior with the specific covariance function adapting to a local region. To handle the multimodality, we combine both temporal and spatial information therefore to obtain two categories of local experts. The temporal and spatial experts are integrated into a seamless hybrid system, which is automatically self-initialized and robust for visual tracking of nonlinear human motion. Learning and inference are extremely efficient as all the local experts are defined online within very small neighborhoods. Extensive experiments on two real-world databases, HumanEva and PEAR, demonstrate the effectiveness of our proposed model, which significantly improve the performance of existing models.

A Virtual Reality Simulator for Teaching and Evaluating Dental Procedures

We present a dental training system with a haptic interface that allows dental students or experts to practice dental procedures in a virtual environment. The simulator is able to monitor and classify the performance of an operator into novice or expert categories. The intelligent training module allows a student to simultaneously and proactively follow the correct dental procedures demonstrated by an intelligent tutor. The virtual reality (VR) simulator simulates the tooth preparation procedure both graphically and haptically, using a video display and haptic device. We evaluated the performance of users using hidden Markov models (HMMs) incorporating various data collected by the simulator. We implemented an intelligent training module which is able to record and replay the procedure that was performed by an expert and allows students to follow the correct steps and apply force proactively by themselves while reproducing the procedure. We find that the level of graphics and haptics fidelity is acceptable as evaluated by dentists. The accuracy of the objective performance assessment using HMMs is encouraging with 100 percent accuracy. The simulator can simulate realistic tooth surface exploration and cutting. The accuracy of automatic performance assessment system using HMMs is also acceptable on relatively small data sets. The intelligent training allows skill transfer in a proactive manner which is an advantage over the passive method in a traditional training. We will soon conduct experiments with more participants and implement a variety of training strategies.

Do experts and novices evaluate movies the same way?

AbstractDo experts and novices evaluate creativity the same way? This question is particularly relevant to the study of critical and public response to movies. How do public opinions differ from movie critic opinions? This study assessed college student (i.e., novice) ratings on movies released from 2001 to 2005 and compared them to expert opinions and those of self‐declared novices on major movie rating Web sites. Results suggest that the student ratings overlapped considerably—but not overwhelmingly—with the self‐described novices, student ratings correlated at a lower magnitude with critic ratings, and the ratings of students who saw the most movies correlated more highly with both critics and self‐described novices than those of students who saw the least movies. The results suggest a continuum of creative evaluation in which the distinctions between categories such as “novice,” “amateur,” and “expert” are blurry and often overlap—yet the categories of expertise are not without importance. © 2009 Wiley Periodicals, Inc.

Making ‘Personal Leadership Boardsʼ and Team- and Co-Coaching Work for You

Making ‘Personal Leadership Boardsʼ and Team- and Co-Coaching Work for You

Applications of web mining for marketing of online bookstores

The purpose of this study is to identify potential customers of online bookstores through web content mining without customers’ transaction records and demographic information. Our study first creates a list of scholars whose research field is in information technology and categories of IT expertise. We then use a search engine to count the numbers of web pages related to scholars and expertise. These data are pre-processed with three key steps before being used: filtering abnormal data, normalizing data, and generating binary data. Association analysis and hierarchical cluster analysis are employed to generate the clusters of scholars and the clusters of expertise. In order to test the accuracy of using web mining to predict clients’ interested booklists, our study evaluates the accuracy of prediction through survey. The results show that the accuracy rate of the recommended booklists targeted on potential customers (scholars) is statistically significant.

Diagnostic Performance of an Expert System for Interpretation of 99mTc MAG3 Scans in Suspected Renal Obstruction

The purpose of the study was to compare diuresis renography scan interpretation generated by a renal expert system with the consensus interpretation of 3 expert readers. The expert system was evaluated in 95 randomly selected furosemide-augmented patient studies (185 kidneys) obtained for suspected obstruction; there were 55 males and 40 females with a mean age +/- SD of 58.6 +/- 16.5 y. Each subject had a baseline (99m)Tc-mercaptoacetyltriglycine ((99m)Tc-MAG3) scan followed by furosemide administration and a separate 20-min acquisition. Quantitative parameters were automatically extracted from baseline and furosemide acquisitions and forwarded to the expert system for analysis. Three experts, unaware of clinical information, independently graded each kidney as obstructed/probably obstructed, equivocal, and probably nonobstructed/nonobstructed; experts resolved differences by a consensus reading. These 3 expert categories were compared with the obstructed, equivocal, and nonobstructed interpretations provided by the expert system. Agreement was assessed using weighted kappa, and the predictive accuracy of the expert system compared with expert readers was assessed by the area under receiver-operating-characteristic (ROC curve) curves. The expert system agreed with the consensus reading in 84% (101/120) of nonobstructed kidneys, in 92% (33/36) of obstructed kidneys, and in 45% (13/29) of equivocal kidneys. The weighted kappa between the expert system and the consensus reading was 0.72 and was comparable with the weighted kappa between experts. There was no significant difference in the areas under the ROC curves when the expert system was compared with each expert using the other 2 experts as the gold standard. The renal expert system showed good agreement with the expert interpretation and could be a useful educational and decision support tool to assist physicians in the diagnosis of renal obstruction. To better mirror the clinical setting, algorithms to incorporate clinical data must be designed, implemented, and tested.

Paine's Chapel at Cusworth Hall

The key to a successful conservation project rests on a sound understanding of the history of the site, its significance, and the materials and structure of its construction; the building envelope is a complex assembly which requires co-ordinated, multidisciplinary evaluation. The 2000–07 restoration of Cusworth Hall, Doncaster, provides an excellent illustration of how a logically phased programme results in a sympathetic and sustainable outcome benefiting not only the building but also the wider community. This paper describes the re-presentation of the chapel which commenced in 2000 with historic paint analysis. A significant result of these investigations was the discovery of hidden figurative paintings on the plaster ceiling. Subsequently, and with further funding in place, the interior of the chapel was restored in 2005–06 as part of a major renovation of the house. The project was subdivided into several categories of conservation expertise, including the suspension and repair of the plaster ceiling, uncovering of ceiling paintings, conservation and reinstatement of a large oil painting, redecoration using bespoke lead paints, and materials analysis leading to the repair and stabilization of the original red plaster floor.

Why is the fusiform face area recruited for novel categories of expertise? A neurocomputational investigation

What is the role of the Fusiform Face Area (FFA)? Is it specific to face processing, or is it a visual expertise area? The expertise hypothesis is appealing due to a number of studies showing that the FFA is activated by pictures of objects within the subject's domain of expertise (e.g., cars for car experts, birds for birders, etc.), and that activation of the FFA increases as new expertise is acquired in the lab. However, it is incumbent upon the proponents of the expertise hypothesis to explain how it is that an area that is initially specialized for faces becomes recruited for new classes of stimuli. We dub this the “visual expertise mystery.” One suggested answer to this mystery is that the FFA is used simply because it is a fine discrimination area, but this account has historically lacked a mechanism describing exactly how the FFA would be recruited for novel domains of expertise. In this study, we show that a neurocomputational model trained to perform subordinate-level discrimination within a visually homogeneous class develops transformations that magnify differences between similar objects, in marked contrast to networks trained to simply categorize the objects. This magnification generalizes to novel classes, leading to faster learning of new discriminations. We suggest this is why the FFA is recruited for new expertise. The model predicts that individual FFA neurons will have highly variable responses to stimuli within expertise domains.

Brain response to birdsongs in bird experts

Auditory expertise has mostly been studied in relation to musical processing, but expert auditory processing can also involve nonmusical auditory stimuli, such as birdsongs in bird experts. In this study, the neural correlates of bird expertise were investigated by using electroencephalography to measure auditory-evoked potentials in bird experts and novices. Auditory stimuli in three categories (birdsongs, environmental sounds and voices) were presented in a pseudo-random order while participants performed a simple target detection task (pure tone). We observed similar amplitudes and distributions of the N100-component in bird experts and novices. In contrast, the amplitude of the P200 component was significantly smaller in bird experts at the Pz and Cz electrodes, reflecting a more frontal topography of this positivity. Notably, this group difference was observed not only for birdsongs, but also for voices and environmental sounds, suggesting a general processing difference in bird experts, not restricted to the category of expertise.

Neural Mechanisms of Expert Skills in Visual Working Memory

Expertise can increase working memory (WM) performance, but the cognitive and neural mechanisms of these improvements remain unclear. Here, we used functional magnetic resonance imaging to assess the degree to which expertise acquisition is supported by tuning of occipitotemporal object representations and tuning of prefrontal and parietal networks that may support domain-specific WM skills. We trained subjects to become experts in a novel category of complex visual objects and examined brain activity while they performed a WM task with objects from the expert category and from an untrained category. Visual expertise training resulted in improved recognition of expert, compared with untrained objects, and this effect was eliminated in a behavioral experiment by stimulus inversion. These behavioral changes were accompanied by increased recruitment of bilateral dorsolateral prefrontal, posterior parietal, and occipitotemporal cortices during WM encoding and maintenance. Across subjects, behavioral measures of expertise reliably predicted increased activation during maintenance of expert objects in all three regions. These neural expertise effects could not be attributed to differences in low-level stimulus characteristics between the two categories, familiarity with features of expert-domain objects, or familiarity with the WM task. These results are consistent with the idea that visual expertise improves WM performance through tuning of occipitotemporal object representations and through development of lateral prefrontal and posterior parietal networks that mediate the application of domain-specific mnemonic skills.

Six degrees of reputation: The use and abuse of online review and recommendation systems (originally published in March 2006)

This paper is included in the First Monday Special Issue: Commercial Applications of the Internet, published in July 2006. This paper reports initial findings from a study that used quantitative and qualitative research methods and custom–built software to investigate online economies of reputation and user practices in online product reviews at several leading e–commerce sites (primarily Amazon.com). We explore several cases in which book and CD reviews were copied whole or in part from one item to another and show that hundreds of product reviews on Amazon.com might be copies of one another. We further explain the strategies involved in these suspect product reviews, and the ways in which the collapse of the barriers between authors and readers affect the ways in which these information goods are being produced and exchanged. We report on techniques that are employed by authors, artists, editors, and readers to ensure they promote their agendas while they build their identities as experts. We suggest a framework for discussing the changes of the categories of authorship, creativity, expertise, and reputation that are being re–negotiated in this multi–tier reputation economy.

Six degrees of reputation: The use and abuse of online review and recommendation systems

This paper reports initial findings from a study that used quantitative and qualitative research methods and custom–built software to investigate online economies of reputation and user practices in online product reviews at several leading e–commerce sites (primarily Amazon.com). We explore several cases in which book and CD reviews were copied whole or in part from one item to another and show that hundreds of product reviews on Amazon.com might be copies of one another. We further explain the strategies involved in these suspect product reviews, and the ways in which the collapse of the barriers between authors and readers affect the ways in which these information goods are being produced and exchanged. We report on techniques that are employed by authors, artists, editors, and readers to ensure they promote their agendas while they build their identities as experts. We suggest a framework for discussing the changes of the categories of authorship, creativity, expertise, and reputation that are being re–negotiated in this multi–tier reputation economy.

Demagogues, Firefighters, and Window Dressers: Who Are We and What Should We Be?

The growing interest in bioethics has given rise to a new group of experts: experts in bioethics. They come from different walks of life and their motives, claims, and qualifications for expertise are manifold. Various academic disciplines can be said to contribute to one's status as an expert in bioethics. Studies and research in, say, philosophy, law, anthropology, history, theology, and sociology with an emphasis on bioethical matters are often thought of as suitably qualifying a person as a bioethicist. In addition to these academic qualifications there are two routes to becoming a bioethicist. I will call these the self-nomination (self-styled) and the through-work-experience routes. Self-nominated expertise is most common with medics who have strong religious or other ideological views about ethical matters. Another path to self-nominated expertise starts with strongly held ideological views with interest in bioethical matters. For this category of bioethical experts there does not have to be any institutional acknowledgment of their status; they are experts because they think they are. The other nonacademic type of expert in bioethics emerges through administrative channels. When the various ethics committees and regulatory bodies that now abound were first founded, there were no experts in bioethics to sit on these committees. People became experts by serving in these institutions for sufficiently long periods of time. This still happens with ethics committees in which just a few of the members are experts in ethics. People join the committees as experts of other fields, but are thought to have become experts through the fact that they have served on such committees.

Leg Stiffness and Expertise in Men Jumping

The aim of the present study is to investigate: a) the leg spring behavior in the one-leg vertical jump, b) the contribution of impulse parameters to this behavior, and c) the effect of jumping expertise on leg stiffness. Four categories of experts (handball, basketball, volleyball players, and Fosbury athletes), as well as novice subjects performed a run-and-jump test to touch a ball with the head. Five experimental conditions were tested from 55 to 95% of the maximum jump height. Kinematic and kinetic data were collected using six cameras and a force plate. The mechanical behavior of the musculoskeleton component of the human body can be modeled as a simple mass-spring system, from which leg stiffness values can be extracted to better understand energy transfer during running or jumping. The results indicate that leg stiffness (mean value of 11.5 kN.m) decreased with jumping height. Leg shortening at takeoff also increased with jumping height, whereas contact time decreased (-18%). No difference was found between experts and novices for leg stiffness. However, a principal components analysis (PCA) indicated the contribution of two main factors to the performance. The first factor emerged out of vertical force, stiffness, and duration of impulse. The second factor included leg shortening and jumping height. Differences between experts and novices were observed in terms of the contribution of leg stiffness to jump height, and more importantly, clear differences existed between experts in jumping parameters. The analysis performed on the sport categories indeed revealed different jumping profiles, characterized by specific, sport-related impulse parameters.

Six Degrees of Reputation: The Use and Abuse of Online Review and Recommendation Systems

This paper reports initial findings from a study that used quantitative and qualitative research methods and custom-built software to investigate online economies of reputation and user practices in online product reviews at several leading ecommerce sites (primarily Amazon.com). We explore several cases in which book and CD reviews were copied in part or in whole from one item to another and show that hundreds of product reviews on Amazon.com might be copies of one another. We further explain the strategies involved in these suspect product reviews, and the ways in which the collapse of the barriers between authors and readers affect the ways in which these information goods are being produced, and exchanged. We report on techniques that are employed by authors, artists, editors, and readers to ensure they promote their agendas while they build their identities as experts. We suggest a framework for discussing the changes of the categories of authorship, creativity, expertise, and reputation that are being re-negotiated in this multi-tier reputation economy.

On interactional expertise: Pragmatic and ontological considerations

This paper is a critical examination of Harry Collins's investigation into a third form of knowledge, “interactional expertise.” We argue that although Collins makes a genuine contribution to the phenomenological literature on expertise, his account requires further critical evaluation and response due to pragmatic and ontological considerations. We contend that by refining (in some questionable ways) the category of interactional expertise so as to create epistemological equivalence between activists, sociologists, critics, journalists, and some science administrators, Collins potentially undermines the value that a more rigorously construed concept of interactional expertise might have. We further show that Collins misunderstands the nature of embodiment in a way that is exacerbated by the sociological perspective that he adopts.

Tutoring in a Problem‐Based Curriculum: Expert Versus Nonexpert

Many studies have examined whether being an "expert" influences the success of a tutor in a problem-based learning curriculum. There are, however, no established standards by which to determine expertise. The purpose of this study was to examine whether students evaluate expert and nonexpert tutors comparably and to determine whether setting different standards to determine expertise influences the outcome of the above findings. Tutor evaluations, consisting of eight Likert-type questions completed by first-, second-, and third-year dental students, were analyzed. Tutors were ranked by the authorswithin three different categories of expertise based on the highest educational degree they had attained, familiarity with the specific subject matter, and previous problem-based learning (PBL) experience. Linear regression analyses were then performed between each category and student evaluation results. A statistically significant difference was found in the way students evaluated experts, but only when expertise was defined by the tutor's previous tutorial experience. The findings of this study underscore the importance of the retention of dental faculty with PBL experience in a PBL-based curriculum.