Relevant bibliographies by topics / Distributed cognition

Academic literature on the topic 'Distributed cognition'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Distributed cognition"

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Kirsh, David. "Distributed cognition." Distributed Cognition 14, no. 2 (September 21, 2006): 249–62. http://dx.doi.org/10.1075/pc.14.2.06kir.

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Humans are closely coupled with their environments. They rely on being ‘embedded’ to help coordinate the use of their internal cognitive resources with external tools and resources. Consequently, everyday cognition, even cognition in the absence of others, may be viewed as partially distributed. As cognitive scientists our job is to discover and explain the principles governing this distribution: principles of coordination, externalization, and interaction. As designers our job is to use these principles, especially if they can be converted to metrics, in order to invent and evaluate candidate designs. After discussing a few principles of interaction and embedding I discuss the usefulness of a range of metrics derived from economics, computational complexity, and psychology.
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Harnad, Stevan, and Itiel E. Dror. "Distributed cognition." Distributed Cognition 14, no. 2 (September 21, 2006): 209–13. http://dx.doi.org/10.1075/pc.14.2.03har.

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Some of the papers in this Special Issue distribute cognition between what is going on inside individual cognizers’ heads and their outside worlds; others distribute cognition among different individual cognizers. Turing’s criterion for cognition was for individual, autonomous input/output capacity. It is not clear that distributed cognition could pass the Turing Test.
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Sutton, John. "Distributed cognition." Distributed Cognition 14, no. 2 (September 21, 2006): 235–47. http://dx.doi.org/10.1075/pc.14.2.05sut.

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Synthesizing the domains of investigation highlighted in current research in distributed cognition and related fields, this paper offers an initial taxonomy of the overlapping types of resources which typically contribute to distributed or extended cognitive systems. It then outlines a number of key dimensions on which to analyse both the resulting integrated systems and the components which coalesce into more or less tightly coupled interaction over the course of their formation and renegotiation.
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Harnad, Stevan. "Distributed processes, distributed cognizers, and collaborative cognition." Cognitive Technologies and the Pragmatics of Cognition 13, no. 3 (December 20, 2005): 501–14. http://dx.doi.org/10.1075/pc.13.3.06har.

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Cognition is thinking; it feels like something to think, and only those who can feel can think. There are also things that thinkers can do. We know neither how thinkers can think nor how they are able to do what they can do. We are waiting for cognitive science to discover how. Cognitive science does this by testing hypotheses about what processes can generate what doing (“know-how”).This is called the Turing Test. It cannot test whether a process can generate feeling, hence thinking — only whether it can generate doing. The processes that generate thinking and know-how are “distributed” within the heads of thinkers, but not across thinkers’ heads. Hence there is no such thing as distributed cognition, only collaborative cognition. Email and the Web have spawned a new form of collaborative cognition that draws upon individual brains’ real-time interactive potential in ways that were not possible in oral, written or print interactions.
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Angeli, Charoula. "Distributed Cognition." Journal of Research on Technology in Education 40, no. 3 (March 2008): 271–79. http://dx.doi.org/10.1080/15391523.2008.10782508.

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Hollan, James, Edwin Hutchins, and David Kirsh. "Distributed cognition." ACM Transactions on Computer-Human Interaction 7, no. 2 (June 2000): 174–96. http://dx.doi.org/10.1145/353485.353487.

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Giere, Ronald N., and Barton Moffatt. "Distributed Cognition:." Social Studies of Science 33, no. 2 (April 2003): 301–10. http://dx.doi.org/10.1177/03063127030332017.

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Hoorn, Johan F. "Distributed cognition." Cognition, Technology & Work 7, no. 1 (January 29, 2005): 5. http://dx.doi.org/10.1007/s10111-004-0172-0.

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Giere, Ronald N. "Distributed Cognition without Distributed Knowing." Social Epistemology 21, no. 3 (July 2007): 313–20. http://dx.doi.org/10.1080/02691720701674197.

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Berninghaus, Siegfried K. "Distributed Cognition (Comment)." Conferences on New Political Economy 25, no. 1 (July 1, 2008): 309–14. http://dx.doi.org/10.1628/186183408785112476.

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Dissertations / Theses on the topic "Distributed cognition"

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Shelby, Ryan D. "Epistemic priming & distributed cognition /." Diss., Digital Dissertations Database. Restricted to UC campuses, 2009. http://uclibs.org/PID/11984.

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Carmien, Stefan Parry. "Socio-technical environments supporting distributed cognition for persons with cognitive disabilities." Diss., Connect to online resource, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3239390.

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Morgan, Michael. "Distributed cognition in computer mediated learning environments." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060719.141836/index.html.

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Andreasson, Rebecca. "Interruptions in manufacturing from a distributed cognition perspective." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9695.

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This thesis aims at portraying interruptions in the socio-technical domain of manufacturing industry, from a distributed cognition perspective. The research problem addressed is the lack of naturalistic inquiry in prior interruption research. Further, manufacturing is a complex socio-technical domain where interruptions have not previously been studied. In this thesis, a workplace study is applied with distributed cognition as its theoretical framework. The results of the study identify two new types of interruptions, as well as one new dimension of interruptions. This result shows that interruptions are a multifaceted phenomenon that frequently occurs within manufacturing. An integration of the theoretical background and the empirical work resulted in five recommendations concerning how to reduce the amount of interruptions and how to minimize their disruptive effects. This study complements prior interruption research, emphasises the importance of studying interruptions in natural settings, and provides several insights regarding future interruption research.
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Forsblad, (Kristiansson) Mattias. "Distributed cognition in home environments : The prospective memory and cognitive practices of older adults." Doctoral thesis, Linköpings universitet, Interaktiva och kognitiva system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131420.

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In this thesis I explore how older people make use of, and interact with, their physical environment in home and near-by settings to manage cognitive situations, specifically prospective memory situations. Older adults have in past research been shown to perform better on prospective memory in real-life settings than what findings in laboratory-like settings predict. An explanation for this paradox is that older adults has a more developed skill of using the environment for prospective memory than younger adults. However, research investigating this explanation has primarily been based on self-reports. I contribute to the understanding of this skill by doing two related things. First I introduce distributed cognition, a theoretical perspective that primarily has been used within professional and socio-technical environments, to the research field of prospective memory in everyday life. Second I present a cognitive ethnography conducted during two years across eight home, and near-by, environments and old-age retired persons, for which I have used theoretical concepts from distributed cognition to analyze observations. The analysis shows rich variations in how participants use common cultural cognitive tools, invent their own cognitive tools, deliberately and incidentally shape more or less functional spaces, make use of other physical features, orient themselves toward and make sense of cognitive resources. I complement both prospective memory and distributed cognition research by describing both the intelligent shaping and use of space. Furthermore, by taking a distributed cognitive perspective I show that prospective memory processes in home environments involve properties, and the management, of a multipurpose environment. Altogether this supports the understanding of distributed cognition as a perspective on all cognition. Distributed cognition is not a reflection of particular work practices, instead it is a formulation of the general features of human cognition. Prospective memory in everyday life can be understood as an ability persons have. However, in this thesis I show that prospective memory can also be understood as a process that takes place between persons, arrangements of space, and tools.
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Hill, Stephen. "Where is cognition? Towards an embodied, situated, and distributed interactionist theory of cognitive activity." Thesis, University of Canterbury. Psychology, 2000. http://hdl.handle.net/10092/4516.

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In recent years researchers from a variety of cognitive science disciplines have begun to challenge some of the core assumptions of the dominant theoretical framework of cognitivism including the representation-computational view of cognition, the sense-model-plan-act understanding of cognitive architecture, and the use of a formal task description strategy for investigating the organisation of internal mental processes. Challenges to these assumptions are illustrated using empirical findings and theoretical arguments from the fields such as situated robotics, dynamical systems approaches to cognition, situated action and distributed cognition research, and sociohistorical studies of cognitive development. Several shared themes are extracted from the findings in these research programmes including: a focus on agent-environment systems as the primary unit of analysis; an attention to agent-environment interaction dynamics; a vision of the cognizer's internal mechanisms as essentially reactive and decentralised in nature; and a tendency for mutual definitions of agent, environment, and activity. It is argued that, taken together, these themes signal the emergence of a new approach to cognition called embodied, situated, and distributed interactionism. This interactionist alternative has many resonances with the dynamical systems approach to cognition. However, this approach does not provide a theory of the implementing substrate sufficient for an interactionist theoretical framework. It is suggested that such a theory can be found in a view of animals as autonomous systems coupled with a portrayal of the nervous system as a regulatory, coordinative, and integrative bodily subsystem. Although a number of recent simulations show connectionism's promise as a computational technique in simulating the role of the nervous system from an interactionist perspective, this embodied connectionist framework does not lend itself to understanding the advanced 'representation hungry' cognition we witness in much human behaviour. It is argued that this problem can be solved by understanding advanced cognition as the re-use of basic perception-action skills and structures that this feat is enabled by a general education within a social symbol-using environment.
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Cole, Janet Vivienne. "Media use and computer supported cooperative work : a socio organisational computational description of accounting activities." Thesis, Brunel University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247500.

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Lin, Frances. "Using Activity Theory and Distributed Cognition to Understand the ICU Discharge Process." Thesis, Griffith University, 2011. http://hdl.handle.net/10072/367211.

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Patient flow from ICU to the wards has been found to be problematic in many countries. It has been found that many discharges from ICU to ward were unsuccessful at the first attempt. Although after-hours ICU discharges have been found to be associated with increased mortality, after-hours discharges still take place in Australian ICUs. Refused and delayed ICU admissions have been associated with increased mortality, however statistics showed that there were still many patients unable to be admitted into ICUs in Australian hospitals. These findings indicate a resource constraint in Australian ICUs. Many researchers have implemented interventions to address these issues. The engagements of an ICU liaison nurse and an ICU outreach team to provide care to patients after ICU discharge were found to shorten ICU discharge delays and increase patient hospital survival. It is against this context this study was carried out. The aim of this study was to explore and describe the patient discharge process from ICU to the wards in a metropolitan hospital in Australia. Distributed cognition and activity theory were used as theoretical frameworks and cognitive ethnography was used as the research method. Ethnographic data collection techniques including informal interviews, direct observations, and collecting existing documents were used. A total of 56 one-on-one interviews were conducted with 46 participants; 28 discharges were observed; and numerous documents were collected during a three-month period. A triangulated technique was used in both data collection and data analysis to ensure the research rigour.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Nursing and Midwifery
Griffith Health
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Spinelli, Gabriella. "Distributed cognition : artefacts and computational space for collaborative problem-solving." Thesis, Brunel University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408926.

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Davey, James M. "The cognitive and neural architecture of semantic cognition : evidence for dissociable distributed systems from multiple methods." Thesis, University of York, 2015. http://etheses.whiterose.ac.uk/8949/.

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This thesis aimed to dissociate temporoparietal contributions to semantic cognition and investigate the wider semantic control network using behavioural experiments, fMRI, and TMS. Chapter 2 investigated patients with semantic aphasia (SA) and healthy participants under conditions of divided attention and found that the selection of associative knowledge, specifically for weaker associations is reliant on semantic control processes. Chapter 3 utilised TMS to dissociate two sites in the temporoparietal region implicated in semantic cognition (posterior middle temporal gyrus, pMTG; and angular gyrus, AG), which are co-activated in semantic contrasts and often damaged together in SA. pMTG was involved in semantic control whereas the response in AG suggests that it is involved in reflexive orientation to semantic concepts. Chapter 4 examined whether the network involved in the control of semantic information overlapped with the network involved in action selection, as both semantic selection and action selection activate overlapping regions demonstrated by previous fMRI studies. Significant overlap was observed between semantic control and action selection in the left inferior frontal gyrus (LIFG) and pMTG suggesting that flexibility in semantic retrieval and action selection rely on partially overlapping architecture. In Chapter 5 we extended previous work demonstrating an involvement of different parts of LIFG in different aspects of semantic control. Dorsal LIFG showed engagement in goal-driven selection while anterior ventral LIFG showed a response compatible with flexible content-driven retrieval. This distinction extended to posterior temporal cortex with pMTG recruitment only observed for context-driven retrieval demands and ITC involvement in goal-driven semantics. The findings of this thesis further elucidate the role of distinct regions within temporoparietal cortex in semantic cognition and the apparent overlap between semantic control and event/action understanding.
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Books on the topic "Distributed cognition"

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Dror, Itiel E., and Stevan Harnad, eds. Cognition Distributed. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.

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Plant, Katherine L., and Neville A. Stanton. Distributed Cognition and Reality. Boca Raton : Taylor & Francis, CRC Press, 2017. | Series: Human: CRC Press, 2016. http://dx.doi.org/10.1201/9781315577647.

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E, Dror Itiel, and Harnad Stevan R, eds. Cognition distributed: How cognitive technology extends our minds. Amsterdam: John Benjamins Pub. Co., 2008.

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Culture, society, and cognition: Collective goals, values, action, and knowledge. New York: Mouton de Gruyter, 2008.

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Beyond the brain: Embodied, situated, and distributed cognition. Newcastle: Cambridge Scholars Pub., 2008.

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Gavriel, Salomon, ed. Distributed cognitions: Psychological and educational considerations. Cambridge [England]: Cambridge University Press, 1993.

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McNeese, Michael D., Eduardo Salas, and Mica R. Endsley, eds. Foundations and Theoretical Perspectives of Distributed Team Cognition. First edition. | Boca Raton : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429459795.

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Rumelhart, David E. Parallel distributed processing: Explorations in the microstructure of cognition. Cambridge, Mass: MIT Press, 1986.

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L, McClelland James, and University of California, San Diego. PDP Research Group., eds. Parallel distributed processing: Explorations in the microstructure of cognition. Cambridge, Mass: MIT Press, 1986.

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L, McClelland James, and University of California, San Diego. PDP Research Group., eds. Parallel distributed processing: Explorations in the microstructure of cognition. Cambridge, Mass: MIT Press, 1986.

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Book chapters on the topic "Distributed cognition"

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Dror, Itiel E., and Stevan Harnad. "Offloading cognition onto cognitive technology." In Cognition Distributed, 1–23. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.02dro.

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Poirier, Pierre, and Guillaume Chicoisne. "A framework for thinking about distributed cognition." In Cognition Distributed, 25–43. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.03poi.

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Sutton, John. "Distributed cognition: Domains and dimensions." In Cognition Distributed, 45–56. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.04sut.

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Kirsh, David. "Distributed cognition: A methodological note." In Cognition Distributed, 57–69. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.05kir.

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Glenberg, Arthur M. "Radical changes in cognitive process due to technology: A jaundiced view." In Cognition Distributed, 71–82. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.06gle.

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Cangelosi, Angelo. "The grounding and sharing of symbols." In Cognition Distributed, 83–92. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.07can.

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Steels, Luc. "Collaborative tagging as distributed cognition." In Cognition Distributed, 93–97. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.08ste.

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Gureckis, Todd M., and Robert L. Goldstone. "Thinking in groups." In Cognition Distributed, 99–116. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.09gur.

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Schwartz, Daniel L., and Taylor Martin. "Distributed learning and mutual adaptation." In Cognition Distributed, 117–35. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.10sch.

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Zhang, Jiajie, and Vimla L. Patel. "Distributed cognition, representation, and affordance." In Cognition Distributed, 137–44. Amsterdam: John Benjamins Publishing Company, 2008. http://dx.doi.org/10.1075/bct.16.11zha.

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Conference papers on the topic "Distributed cognition"

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Hansen, Sean W., Janis L. Gogan, and Ryan J. Baxter. "Distributed Cognition in Geriatric Telepsychiatry." In 2012 45th Hawaii International Conference on System Sciences (HICSS). IEEE, 2012. http://dx.doi.org/10.1109/hicss.2012.223.

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Webb, Andrew M., Katta Spiel, Z. O. Toups, Bill Hamilton, Nic Lupfer, Ross A. Graeber, and Wendy E. Mackay. "Distributed Creativity in Play." In C&C '19: Creativity and Cognition. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3325480.3326554.

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Hundal, Karan Singh, and Gunter Mussbacher. "Model-Based Development with Distributed Cognition." In 2018 IEEE 8th International Model-Driven Requirements Engineering Workshop (MoDRE). IEEE, 2018. http://dx.doi.org/10.1109/modre.2018.00010.

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Foster, Thomas M. "Implications of Distributed Cognition for PER." In 2002 Physics Education Research Conference. American Association of Physics Teachers, 2002. http://dx.doi.org/10.1119/perc.2002.pr.002.

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Mansour, Osama. "Group Intelligence: A Distributed Cognition Perspective." In 2009 International Conference on Intelligent Networking and Collaborative Systems (INCOS). IEEE, 2009. http://dx.doi.org/10.1109/incos.2009.59.

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Changzhi Deng, Changqing Wang, Hongan Wang, and Guozhong Dai. "Applying distributed cognition to cooperative design." In Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design. IEEE, 2005. http://dx.doi.org/10.1109/cscwd.2005.194291.

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Davis, Nicholas, Boyang Li, Brian O'Neill, Mark Riedl, and Michael Nitsche. "Distributed creative cognition in digital filmmaking." In the 8th ACM conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2069618.2069654.

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McKnight, Joseph, and Gavin Doherty. "Distributed Cognition and Mobile Healthcare Work." In People and Computers XXII Culture, Creativity, Interaction. BCS Learning & Development, 2008. http://dx.doi.org/10.14236/ewic/hci2008.28.

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Rajkomar, Atish, and Ann Blandford. "Distributed Cognition for Evaluating Healthcare Technology." In Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction. BCS Learning & Development, 2011. http://dx.doi.org/10.14236/ewic/hci2011.64.

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Scott, Taylor Jackson. "Distributed Affect as a Framework for Understanding Creative Collaboration." In C&C '15: Creativity and Cognition. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2757226.2764768.

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Reports on the topic "Distributed cognition"

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Cooke, Nancy J. Team Cognition in Distributed Mission Environments. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada417678.

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Fiore, Stephen M., Florian Jentsch, Eduardo Salas, and Neal Finkelstein. Cognition, Teams, and Augmenting Team Cognition: Understanding Memory Failures in Distributed Human-Agent Teams. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada523371.

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Deatz, Richard C., and Charlotte H. Campbell. Application of Cognitive Principles in Distributed Computer-Based Training. Fort Belvoir, VA: Defense Technical Information Center, July 2001. http://dx.doi.org/10.21236/ada394630.

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Anandkumar, Animashree, Nithin Michael, Ao K. Tang, and Ananthram Swami. Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret. Fort Belvoir, VA: Defense Technical Information Center, June 2010. http://dx.doi.org/10.21236/ada524660.

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Shiang, Hsien-Po, and Mihaela van der Schaar. Distributed Resource Management in Multi-hop Cognitive Radio Networks for Delay Sensitive Transmission. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada481600.

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Chen, Stanley, Yaobin Chen, Renran Tian, Lingxi Li, Donglin Liu, Jue Zhou, and Dan Shen. Alternate Interchange Signing Study for Indiana Highways. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317439.

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The main objectives of this research were to (1) understand signing issues from the perspective of drivers and (2) develop recommendations for improving interchange signing in Indiana to aid driver understanding and increase the safety and efficiency of highway traffic operations. An online survey with specific questions was designed and distributed through email, social media, online newspapers, and a survey company with the goal of better understanding driver thinking when approaching decision-making areas on the interstate. The analysis of the survey results revealed the following. •Drivers usually do not know the interchange types as they approach an interchange on the freeway. •Drivers are most interested in which lanes they should be in when approaching an interchange, even in advance of typical signing locations. •Drivers do not like signs that require cognitive work since it will delay their driving decision by creating uncertainty. •Different drivers need different types of information from signs, such as cardinal direction, destination name, road name, and lane assignments. Therefore, a perfect sign for one driver may be confusing or information overload for another driver. •In some instances, a driver who is familiar with the area is confused by the signs because the sign information contradicts the driver’s knowledge.
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