The Impact of Domain-Specific Experience on Chess Skill: Reanalysis of a Key Study

2019 ◽  
Vol 132 (1) ◽  
pp. 27 ◽  
Author(s):  
Burgoyne ◽  
Nye ◽  
Macnamara ◽  
Charness ◽  
Hambrick
2008 ◽  
Vol 16 (3) ◽  
pp. 112-115 ◽  
Author(s):  
Stephan Bongard ◽  
Volker Hodapp ◽  
Sonja Rohrmann

Abstract. Our unit investigates the relationship of emotional processes (experience, expression, and coping), their physiological correlates and possible health outcomes. We study domain specific anger expression behavior and associated cardio-vascular loads and found e.g. that particularly an open anger expression at work is associated with greater blood pressure. Furthermore, we demonstrated that women may be predisposed for the development of certain mental disorders because of their higher disgust sensitivity. We also pointed out that the suppression of negative emotions leads to increased physiological stress responses which results in a higher risk for cardiovascular diseases. We could show that relaxation as well as music activity like singing in a choir causes increases in the local immune parameter immunoglobuline A. Finally, we are investigating connections between migrants’ strategy of acculturation and health and found e.g. elevated cardiovascular stress responses in migrants when they where highly adapted to the German culture.


2020 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Tino Herden

Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while the execution of Analytics initiatives is similar across domains and similar issues occur. This article investigates characteristics of the execution of Analytics initiatives that are distinct in domains and can guide future research collaboration and focus. The research was conducted on the example of Logistics and Supply Chain Management and the respective domain-specific Analytics subfield of Supply Chain Analytics. The field of Logistics and Supply Chain Management has been recognized as early adopter of Analytics but has retracted to a midfield position comparing different domains.Design/methodology/approach: This research uses Grounded Theory based on 12 semi-structured Interviews creating a map of domain characteristics based of the paradigm scheme of Strauss and Corbin.Findings: A total of 34 characteristics of Analytics initiatives that distinguish domains in the execution of initiatives were identified, which are mapped and explained. As a blueprint for further research, the domain-specifics of Logistics and Supply Chain Management are presented and discussed.Originality/value: The results of this research stimulates cross domain research on Analytics issues and prompt research on the identified characteristics with broader understanding of the impact on Analytics initiatives. The also describe the status-quo of Analytics. Further, results help managers control the environment of initiatives and design more successful initiatives.


2017 ◽  
Author(s):  
Marilena Oita ◽  
Antoine Amarilli ◽  
Pierre Senellart

Deep Web databases, whose content is presented as dynamically-generated Web pages hidden behind forms, have mostly been left unindexed by search engine crawlers. In order to automatically explore this mass of information, many current techniques assume the existence of domain knowledge, which is costly to create and maintain. In this article, we present a new perspective on form understanding and deep Web data acquisition that does not require any domain-specific knowledge. Unlike previous approaches, we do not perform the various steps in the process (e.g., form understanding, record identification, attribute labeling) independently but integrate them to achieve a more complete understanding of deep Web sources. Through information extraction techniques and using the form itself for validation, we reconcile input and output schemas in a labeled graph which is further aligned with a generic ontology. The impact of this alignment is threefold: first, the resulting semantic infrastructure associated with the form can assist Web crawlers when probing the form for content indexing; second, attributes of response pages are labeled by matching known ontology instances, and relations between attributes are uncovered; and third, we enrich the generic ontology with facts from the deep Web.


2020 ◽  
Author(s):  
Bethany Growns ◽  
Kristy Martire

Forensic feature-comparison examiners in select disciplines are more accurate than novices when comparing visual evidence samples. This paper examines a key cognitive mechanism that may contribute to this superior visual comparison performance: the ability to learn how often stimuli occur in the environment (distributional statistical learning). We examined the relation-ship between distributional learning and visual comparison performance, and the impact of training about the diagnosticity of distributional information in visual comparison tasks. We compared performance between novices given no training (uninformed novices; n = 32), accu-rate training (informed novices; n = 32) or inaccurate training (misinformed novices; n = 32) in Experiment 1; and between forensic examiners (n = 26), informed novices (n = 29) and unin-formed novices (n = 27) in Experiment 2. Across both experiments, forensic examiners and nov-ices performed significantly above chance in a visual comparison task where distributional learning was required for high performance. However, informed novices outperformed all par-ticipants and only their visual comparison performance was significantly associated with their distributional learning. It is likely that forensic examiners’ expertise is domain-specific and doesn’t generalise to novel visual comparison tasks. Nevertheless, diagnosticity training could be critical to the relationship between distributional learning and visual comparison performance.


2008 ◽  
Vol 9 (10) ◽  
pp. 912-919 ◽  
Author(s):  
Rebecca A. Shelby ◽  
Tamara J. Somers ◽  
Francis J. Keefe ◽  
Jennifer J. Pells ◽  
Kim E. Dixon ◽  
...  

Author(s):  
Ronald E. Goldsmith ◽  
Barbara A. Lafferty

Innovativeness is a willingness to try new things. Combined with other factors, innovativeness leads consumers to be among the first to adopt new ideas, products, and practices, such as buying online. As an individual difference trait, innovativeness can be conceptualized at three levels of generality: a global personality trait, general marketplace innovativeness, and domain-specific innovativeness. The present study assessed the impact of the first and third of these types of innovativeness on cyber-shopping. Data were collected through a survey of 303 consumers. Four hypotheses were proposed and supported. Global innovativeness and domain-specific innovativeness (online innovativeness) were positively correlated with each other and with amount of online buying. Domain-specific innovativeness also mediated the influence of global innovativeness on online buying behavior. Moreover, the relationships were weakly moderated by gender of respondent. These findings are consistent with previous studies and help to explain how personality influences online buying.


2018 ◽  
Vol 140 (10) ◽  
Author(s):  
Murtuza Shergadwala ◽  
Ilias Bilionis ◽  
Karthik N. Kannan ◽  
Jitesh H. Panchal

Many decisions within engineering systems design are typically made by humans. These decisions significantly affect the design outcomes and the resources used within design processes. While decision theory is increasingly being used from a normative standpoint to develop computational methods for engineering design, there is still a significant gap in our understanding of how humans make decisions within the design process. Particularly, there is lack of knowledge about how an individual's domain knowledge and framing of the design problem affect information acquisition decisions. To address this gap, the objective of this paper is to quantify the impact of a designer's domain knowledge and problem framing on their information acquisition decisions and the corresponding design outcomes. The objective is achieved by (i) developing a descriptive model of information acquisition decisions, based on an optimal one-step look ahead sequential strategy, utilizing expected improvement maximization, and (ii) using the model in conjunction with a controlled behavioral experiment. The domain knowledge of an individual is measured in the experiment using a concept inventory, whereas the problem framing is controlled as a treatment variable in the experiment. A design optimization problem is framed in two different ways: a domain-specific track design problem and a domain-independent function optimization problem (FOP). The results indicate that when the problem is framed as a domain-specific design task, the design solutions are better and individuals have a better state of knowledge about the problem, as compared to the domain-independent task. The design solutions are found to be better when individuals have a higher knowledge of the domain and they follow the modeled strategy closely.


2019 ◽  
Vol 12 ◽  
pp. 22-35
Author(s):  
Jonė Grigaliūnienė

This paper aims to consider the impact corpora have made on language studies and to touch upon the interface between corpora use and translator training/practice. A small-scale survey conducted among the translation trainers/professionals and translation students, with the aim of finding out whether professional translators and students are aware of the existence of corpora and to what extent they use them in their work, revealed that both the trainers and the students are well aware of corpora, but they still prefer translation memory technology to using corpora when translating. They have also pointed out that they would be interested in a service which quickly provided domain-and-language specific corpora tailored to their needs and a tool for extracting terminology from a domain specific corpus. The paper presents a tool which is now widely available for academic institutions in Europe and which gives a chance to quickly and easily compile a specific corpus, extract keywords, provides concordances and gives a useful word sketch that could be of great help when translating. The paper concludes that corpora have yet to make an impact on translation studies and that this will depend on raising awareness of the usefulness of corpora for translation training and practice and the availability of corpora tools that could meet translator needs.


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