Cognition In The Wild
01 Jan 2016-
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TL;DR: This paper argues for two alternatives to state-of-the-art medical research to turn patient knowledge into science: ethnographies of knowledge practices (how patients know) and the collection and making accessible of techniques (what patients know).
Abstract: Science and technology studies concerned with the study of lay influence on the sciences usually analyze either the political or the normative epistemological consequences of lay interference. Here I frame the relation between patients, knowledge, and the sciences by opening up the question: How can we articulate the knowledge that patients develop and use in their daily lives (patient knowledge) and make it transferable and useful to others, or, `turn it into science’? Elsewhere, patient knowledge is analyzed either as essentially different from or similar to medical knowledge. The category of experiential knowledge is vague and is used to encompass many types of experience, whereas the knowledge of the `expert patient’ may be assumed to have the shape of up-to-date medical information. This paper shows through a case study of people with severe lung disease that patient knowledge can be understood as a form of practical knowledge that patients use to translate medical and technical knowledge into someth...
147 citations
Cites background from "Cognition In The Wild"
...See Hutchins (1995) for ‘‘cognitions in the wild,’’ showing how knowledge is part of a practice and is distributed over people and devices....
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TL;DR: An up-to-date review of STS methods, a set of case studies illustrating their use and an evaluation of their strengths and weaknesses are provided, as well as a ‘roadmap’ for future work.
Abstract: An important part of the application of sociotechnical systems theory (STS) is the development of methods, tools and techniques to assess human factors and ergonomics workplace requirements. We focus in this paper on describing and evaluating current STS methods for workplace safety, as well as outlining a set of six case studies covering the application of these methods to a range of safety contexts. We also describe an evaluation of the methods in terms of ratings of their ability to address a set of theoretical and practical questions (e.g. the degree to which methods capture static/dynamic aspects of tasks and interactions between system levels). The outcomes from the evaluation highlight a set of gaps relating to the coverage and applicability of current methods for STS and safety (e.g. coverage of external influences on system functioning; method usability). The final sections of the paper describe a set of future challenges, as well as some practical suggestions for tackling these.
Practitioner Summary: We provide an up-to-date review of STS methods, a set of case studies illustrating their use and an evaluation of their strengths and weaknesses. The paper concludes with a ‘roadmap’ for future work.
144 citations
TL;DR: The authors provide a comprehensive review of the growing literature on shared leadership by clarifying the definition of shared leadership, conceptually disentangling shared leadership from other theoretically overlapping constructs, addressing measurement issues, and developing an integrative framework of the antecedents, proximal and distal consequences, and boundary conditions.
Abstract: The traditional “great man” approaches to leadership emphasize qualities of individual leaders for leadership success. In contrast, a rapidly growing body of research has started to examine shared leadership, which is broadly defined as an emergent team phenomenon whereby leadership roles and influence are distributed among team members. Despite the progress, however, the extant literature on shared leadership has been fragmented with a variety of conceptualizations and operationalizations. This has resulted in little consensus regarding a suitable overarching theoretical framework and has undermined developing knowledge in this research domain.
To redress these problems, we provide a comprehensive review of the growing literature of shared leadership by:
1) clarifying the definition of shared leadership,
2) conceptually disentangling shared leadership from other theoretically overlapping constructs,
3) addressing measurement issues, and
4) developing an integrative framework of the antecedents, proximal and distal consequences, and boundary conditions of shared leadership.
We end our review by highlighting several new avenues for future research.
144 citations
02 May 2017
TL;DR: This paper presents a case analysis of technology design in art therapy involving people with dementia aimed at challenging conventional narratives and calls attention to and helps solidify an agenda for how the CHI community approaches dementia, design, and technology.
Abstract: Designing new technologies with and for individuals with dementia is a growing topic of interest within HCI. Yet, predominant societal views contribute to the positioning of individuals with dementia as deficient and declining, and treat technology as filling a gap left by impairment. We present the perspective of critical dementia as a way of reflecting on these views in the context of recent epistemological shifts in HCI. In addition to articulating how HCI can leverage the perspective of critical dementia, we present a case analysis of technology design in art therapy involving people with dementia aimed at challenging conventional narratives. This paper calls attention to and helps solidify an agenda for how the CHI community approaches dementia, design, and technology.
140 citations
Cites background from "Cognition In The Wild"
...Physical and Embodied Interaction Recent work in HCI emphasizes that our physical experience in the world and bodily engagement is central to interaction [23,37,58] and how we construct meaning [18,23,80]....
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TL;DR: This article examined the differences in OTLs in 17 hr of videotaped meetings from three groups at different levels of instructional accomplishment in secondary mathematics and uncovered differences in the groups' interactions and found that opportunities to learn were not equally distributed.
Abstract: Increasingly, instructional improvement efforts include teacher communities as part of their overall strategy, yet the relationship between teachers’ talk and professional learning remains underspecified. Using a discourse perspective on learning, this article compares opportunities to learn (OTLs) in the collaborative conversations of 3 mathematics teacher workgroups. We examined the differences in OTLs in 17 hr of videotaped meetings from 3 groups at different levels of instructional accomplishment in secondary mathematics. Using mixed methods, we uncovered differences in the groups’ interactions and found that OTLs were not equally distributed. Instead, teacher groups whose active participants demonstrated the greatest facility with ambitious instruction also had the richest conversational OTLs. We interpret this as an accumulated advantage developmental story: Because collaborative work in teaching involves problem posing and the articulation of practice, teachers’ conceptions get built into the frami...
131 citations
Cites background from "Cognition In The Wild"
...Consonant with the collective ZPD (Engeström, 1987) notion, workgroup conversations stand to shape teachers’ horizons of observation (Hutchins, 1995), narrowing or broadening their access to important facets of their work through discussions with colleagues....
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References
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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
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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
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
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
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