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Cognition In The Wild

01 Jan 2016-
TL;DR: The cognition in the wild is universally compatible with any devices to read and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract: Thank you very much for reading cognition in the wild. Maybe you have knowledge that, people have look hundreds times for their favorite books like this cognition in the wild, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. cognition in the wild is available in our digital library an online access to it is set as public so you can download it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the cognition in the wild is universally compatible with any devices to read.
Citations
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Journal ArticleDOI
TL;DR: In this paper, the role of top management teams' cognitive structure and the enabling influence of transactive memory systems is discussed. And the authors argue that transactive memories provide a top management team with a system for generating, distributing, and integrating knowledge based on members' specific areas of expertise in ways that increase its ability to both differentiate and integrate strategic agendas for ambidexterity.

158 citations


Cites background from "Cognition In The Wild"

  • ...Built on the premise that cognition can be socially distributed in team settings (Hutchins, 1995; Lewis & Herndon, 2011; Wegner, 1987; Weick & Roberts, 1993), our central insight is that transactive memory systems can increase a top management team’s ability to pursue both exploitation and exploration and, consequently, ambidexterity by enabling the dual knowledge process, reduced cognitive load, and heedful interrelations within the team....

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  • ...Built on the premise that cognition can be socially distributed in team settings (Hutchins, 1995; Lewis & Herndon, 2011; Wegner, 1987; Weick & Roberts, 1993), our central insight is that transactive memory systems can increase a top management team’s ability to pursue both exploitation and…...

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Journal ArticleDOI
TL;DR: The concept of evaluative infrastructure is introduced in this article, which describes accounting practices that enable platform based organizations to enable the flow of economic activity and exchange on platforms, such as Uber, eBay, and Airbnb.
Abstract: Platform organizations such as Uber, eBay and Airbnb represent a growing disruptive phenomenon in contemporary capitalism, transforming economic organization, the nature of work, and the distribution of wealth. This paper investigates the accounting practices that underpin this new form of organizing, and in doing so confronts a significant challenge within the accounting literature: the need to escape what Hopwood (1996) describes as its “hierarchical consciousness”. In order to do so, this paper develops the concept of evaluative infrastructure which describes accounting practices that enable platform based organization. They are evaluative because they deploy a plethora of interacting devices, including rankings, ratings, reviews, and audits to establish orders of worth. They are infrastructures because they provide the invisible yet essential mechanisms for the flow of economic activity and exchange on platforms. Illustrating the concept of evaluative infrastructure with the example of eBay, the paper's contribution is to (1) provide an analytical vocabulary to capture the accounting practices underpinning platforms as new organizational forms, and in so doing (2) extend accounting scholars' analytical focus from hierarchical settings towards heterarchies. Conceptually, this shift from management accounting to evaluative infrastructures entails a focus on relationality (evaluative infrastructures do not represent or reference but relate things, people and ideas with each other); generativity (evaluative infrastructures do not territorialize objects but disclose new worlds); and new forms of control (evaluative infrastructures are not centres of calculation; rather, control is radically distributed, whilst power remains centralized).

157 citations


Cites background from "Cognition In The Wild"

  • ...Hence, evaluative infrastructures may be analysed as forms of distributed accounting akin to distributed cognition (Hutchins, 1995; Giere, 2002)....

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  • ...The professional accountant may even become de-skilled as the system becomes more intelligent (Hutchins, 1995)....

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Journal ArticleDOI
TL;DR: This article identifies the existing theoretical frameworks and empirical research that focus on CPS and provides examples of how recent technologies can automate analyses of CPS processes and assessments so that substantially larger data sets can be analyzed and so students can receive immediate feedback on their CPS performance.
Abstract: Collaborative problem solving (CPS) has been receiving increasing international attention because much of the complex work in the modern world is performed by teams. However, systematic education a...

156 citations


Cites background from "Cognition In The Wild"

  • ...Action refers to the general level of participation (E. Hutchins, 1995; Nardi, 1996), whereas interaction describes behavior with and in response to others and is a minimum requirement for successful coordination (Crowston, Rubleske, & Howison, 2006)....

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Journal ArticleDOI
14 Aug 2014-PLOS ONE
TL;DR: Thematic analysis reveals three general principles: farmers value knowledge delivered by persons rather than roles, privilege farming experience, and develop knowledge with empiricist rather than rationalist techniques that have significant implications for theorizing agricultural innovation.
Abstract: Responding to demands for transformed farming practices requires new forms of knowledge. Given their scale and complexity, agricultural problems can no longer be solved by linear transfers in which technology developed by specialists passes to farmers by way of extension intermediaries. Recent research on alternative approaches has focused on the innovation systems formed by interactions between heterogeneous actors. Rather than linear transfer, systems theory highlights network facilitation as a specialized function. This paper contributes to our understanding of such facilitation by investigating the networks in which farmers discuss science. We report findings based on the study of a pastoral farming experiment collaboratively undertaken by a group of 17 farmers and five scientists. Analysis of prior contact and alter sharing between the group’s members indicates strongly tied and decentralized networks. Farmer knowledge exchanges about the experiment have been investigated using a mix of quantitative and qualitative methods. Network surveys identified who the farmers contacted for knowledge before the study began and who they had talked to about the experiment by 18 months later. Open-ended interviews collected farmer statements about their most valuable contacts and these statements have been thematically analysed. The network analysis shows that farmers talked about the experiment with 192 people, most of whom were fellow farmers. Farmers with densely tied and occupationally homogeneous contacts grew their networks more than did farmers with contacts that are loosely tied and diverse. Thematic analysis reveals three general principles: farmers value knowledge delivered by persons rather than roles, privilege farming experience, and develop knowledge with empiricist rather than rationalist techniques. Taken together, these findings suggest that farmers deliberate about science in intensive and durable networks that have significant implications for theorizing agricultural innovation. The paper thus concludes by considering the findings’ significance for current efforts to rethink agricultural extension.

154 citations


Cites background from "Cognition In The Wild"

  • ...Following the lead of cognitive anthropology, we dub this expanded field of knowledge agricultural science in the wild [39,40]....

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Journal ArticleDOI
07 Nov 2019
TL;DR: This paper provides needed definitions and a framework for conceptualizing strategic information operations, and examines three case studies of online information operations using a sociotechnical lens that draws on CSCW theories and methods to account for the mutual shaping of technology, social structure, and human action.
Abstract: In this paper, we argue that strategic information operations (e.g. disinformation, political propaganda, and other forms of online manipulation) are a critical concern for CSCW researchers, and that the CSCW community can provide vital insight into understanding how these operations function-by examining them as collaborative "work" within online crowds. First, we provide needed definitions and a framework for conceptualizing strategic information operations, highlighting related literatures and noting historical context. Next, we examine three case studies of online information operations using a sociotechnical lens that draws on CSCW theories and methods to account for the mutual shaping of technology, social structure, and human action. Through this lens, we contribute a more nuanced understanding of these operations (beyond "bots" and "trolls") and highlight a persistent challenge for researchers, platform designers, and policy makers-distinguishing between orchestrated, explicitly coordinated, information operations and the emergent, organic behaviors of an online crowd.

153 citations


Cites background from "Cognition In The Wild"

  • ...structuration [26], sociomateriality [61], and distributed cognition [39]—to assist in the investigation both of how technology shapes work within formal organizations [60, 61] and of how online environments facilitate and shape collective behavior in the “crowd” [82, 86, 95]....

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References
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Journal ArticleDOI
TL;DR: The authors argue that the affordances an environment offers to an animal are dependent on the skills the animal possesses and that the landscape of affordances we inhabit as humans is very rich and resourceful.
Abstract: How broad is the class of affordances we can perceive? Affordances (Gibson, 1979/1986) are possibilities for action provided to an animal by the environment—by the substances, surfaces, objects, and other living creatures that surround it. A widespread assumption has been that affordances primarily relate to motor action—to locomotion and manual behaviors such as reaching and grasping. We propose an account of affordances according to which the concept of affordances has a much broader application than has hitherto been supposed. We argue that the affordances an environment offers to an animal are dependent on the skills the animal possesses. By virtue of our many abilities, the landscape of affordances we inhabit as humans is very rich and resourceful.

628 citations

Book ChapterDOI
01 Nov 2014
TL;DR: Situative analyses include hypotheses about principles of coordination that support communication and reasoning in activity systems, including construction of meaning and understanding as discussed by the authors, which is a program of research in the learning sciences that I call "situative".
Abstract: This chapter discusses a program of research in the learning sciences that I call “situative.” The defining characteristic of a situative approach is that instead of focusing on individual learners, the main focus of analysis is on activity systems : complex social organizations containing learners, teachers, curriculum materials, software tools, and the physical environment. Over the decades, many psychologists have advocated a study of these larger systems (Dewey, 1896, 1929/1958; Lewin, 1935, 1946/1997; Mead, 1934; Vygotsky, 1987), although they remained outside the mainstream of psychology, which instead focused on individuals. Situative analyses include hypotheses about principles of coordination that support communication and reasoning in activity systems, including construction of meaning and understanding. Other terms for the perspective I refer to as situative include sociocultural psychology (Cole, 1996; Rogoff, 1995), activity theory (Engestrom, 1993; 1999), distributed cognition (Hutchins, 1995a), and ecological psychology (Gibson, 1979; Reed, 1996). I use the term “situative” because I was introduced to the perspective by scholars who referred to their perspective as situated action (Suchman, 1985), situated cognition (Lave, 1988), or situated learning (Lave & Wenger, 1991). I prefer the term “situative,” a modifier of “perspective,” “analysis,” or “theory,” to “situated,” used to modify “action,” “cognition,” or “learning,” because the latter adjective invites a misconception: that some instances of action, cognition, or learning are situated and others are not. During the 1980s and 1990s these scholars and others provided analyses in which concepts of cognition and learning are relocated at the level of activity systems.

545 citations

Journal ArticleDOI
TL;DR: This work argues that advances in digital technologies increase innovation network connectivity by reducing communication costs and increasing its reach and scope and increase the speed and scope of digital convergence, which increases network knowledge heterogeneity and need for integration.
Abstract: The increased digitization of organizational processes and products poses new challenges for understanding product innovation. It also opens new horizons for information systems research. We analyse how ongoing pervasive digitization of product innovation reshapes knowledge creation and sharing in innovation networks. We argue that advances in digital technologies 1 increase innovation network connectivity by reducing communication costs and increasing its reach and scope and 2 increase the speed and scope of digital convergence, which increases network knowledge heterogeneity and need for integration. These developments, in turn, stretch existing innovation networks by redistributing control and increasing the demand for knowledge coordination across time and space presenting novel challenges for knowledge creation, assimilation and integration. Based on this foundation, we distinguish four types of emerging innovation networks supported by digitalization: 1 project innovation networks; 2 clan innovation networks; 3 federated innovation networks; and 4 anarchic innovation networks. Each network involves different cognitive and social translations - or ways of identifying, sharing and assimilating knowledge. We describe the role of five novel properties of digital infrastructures in supporting each type of innovation network: representational flexibility, semantic coherence, temporal and spatial traceability, knowledge brokering and linguistic calibration. We identify several implications for future innovation research. In particular, we focus on the emergence of anarchic network forms that follow full-fledged digital convergence founded on richer innovation ontologies and epistemologies calling to critically re-examine the nature and impact of modularization for innovation.

418 citations

Journal ArticleDOI
TL;DR: A blind IQA model is proposed, which learns qualitative evaluations directly and outputs numerical scores for general utilization and fair comparison and is not only much more natural than the regression-based models, but also robust to the small sample size problem.
Abstract: This paper investigates how to blindly evaluate the visual quality of an image by learning rules from linguistic descriptions. Extensive psychological evidence shows that humans prefer to conduct evaluations qualitatively rather than numerically. The qualitative evaluations are then converted into the numerical scores to fairly benchmark objective image quality assessment (IQA) metrics. Recently, lots of learning-based IQA models are proposed by analyzing the mapping from the images to numerical ratings. However, the learnt mapping can hardly be accurate enough because some information has been lost in such an irreversible conversion from the linguistic descriptions to numerical scores. In this paper, we propose a blind IQA model, which learns qualitative evaluations directly and outputs numerical scores for general utilization and fair comparison. Images are represented by natural scene statistics features. A discriminative deep model is trained to classify the features into five grades, corresponding to five explicit mental concepts, i.e., excellent, good, fair, poor, and bad. A newly designed quality pooling is then applied to convert the qualitative labels into scores. The classification framework is not only much more natural than the regression-based models, but also robust to the small sample size problem. Thorough experiments are conducted on popular databases to verify the model’s effectiveness, efficiency, and robustness.

360 citations

Journal ArticleDOI
TL;DR: The current state of the descriptive information-processing model, and its relation to the major topics in empirical aesthetics today, including the nature of aesthetic emotions, the role of context, and the neural and evolutionary foundations of art and aesthetics are reviewed.
Abstract: About a decade ago, psychology of the arts started to gain momentum owing to a number of drives: technological progress improved the conditions under which art could be studied in the laboratory, neuroscience discovered the arts as an area of interest, and new theories offered a more comprehensive look at aesthetic experiences. Ten years ago, Leder, Belke, Oeberst, and Augustin (2004) proposed a descriptive information-processing model of the components that integrate an aesthetic episode. This theory offered explanations for modern art's large number of individualized styles, innovativeness, and for the diverse aesthetic experiences it can stimulate. In addition, it described how information is processed over the time course of an aesthetic episode, within and over perceptual, cognitive and emotional components. Here, we review the current state of the model, and its relation to the major topics in empirical aesthetics today, including the nature of aesthetic emotions, the role of context, and the neural and evolutionary foundations of art and aesthetics.

329 citations