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Bibliografias temáticas / Confusion

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Literatura científica selecionada sobre o tema "Confusion"

Autor: Grafiati

Publicado: 4 de junho de 2021

Última modificação: 21 de fevereiro de 2023

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Artigos de revistas sobre o assunto "Confusion"

1

Gergely, Gyorgy. "Some confusion about pretence-reality confusions". Developmental Science 5, n.º 4 (novembro de 2002): 417–19. http://dx.doi.org/10.1111/1467-7687.00236_4.

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Karim, Salman, Jenny Watson e Alistair Burns. "Confusion begets confusion". Lancet 368, n.º 9543 (outubro de 2006): 1237. http://dx.doi.org/10.1016/s0140-6736(06)69515-9.

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3

Garaus, Marion. "Confusion in internet retailing: causes and consequences". Internet Research 28, n.º 2 (4 de abril de 2018): 477–99. http://dx.doi.org/10.1108/intr-11-2016-0356.

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Purpose The purpose of this paper is to introduce the new construct online shopper confusion and to identify online confusion causes and consequences. Design/methodology/approach Data obtained from a projective technique and a quantitative study were analyzed to identify online shopper confusion causes. Two experiments employing different stimulus materials tested the conceptualized consequences of online shopper confusion. Findings Confusing online store elements are classified into three online confusion causes. Data yielded from two experiments using fictitious and real shopping scenarios as stimulus material show that a confusing internet retail process leads to negative consumer reactions. Research limitations/implications The resulting taxonomy of confusing online store elements offers guidance on the creation of non-confusing online shopping trips, and highlights the relevance of a non-confusing internet retail process. Online shopper confusion is linked to negative behavioral reactions. Consequently, this research offers an explanation for undesirable consumer reactions in internet retailing. Practical implications The findings provide practitioners with concrete insights into how the internet retail process confuses shoppers which help to assess the confusion potential of their existing online stores and consider confusion issues in the development of new online stores. Originality/value This research is the first to explore confusion during the internet retail process. The multi-method approach offers highly valid insights into the causes and consequences of online shopper confusion.

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4

Menahem, Samuel. "Confusion re: Nipple confusion". Journal of Pediatrics 130, n.º 6 (junho de 1997): 1012. http://dx.doi.org/10.1016/s0022-3476(97)70300-7.

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5

Chang, Victor T. "The Confusion About Confusion". Journal of Palliative Medicine 5, n.º 5 (outubro de 2002): 659–60. http://dx.doi.org/10.1089/109662102320880453.

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Krenzelok, Edward P., e Mike A. Royal. "Confusion". Drugs in R&D 12, n.º 2 (junho de 2012): 45–48. http://dx.doi.org/10.2165/11633010-000000000-00000.

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Rasin, Joyce H. "Confusion". Nursing Clinics of North America 25, n.º 4 (dezembro de 1990): 909–18. http://dx.doi.org/10.1016/s0029-6465(22)02989-9.

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8

Pech, Thierry. "Confusion". Alternatives Économiques N° 313, n.º 5 (1 de junho de 2012): 5. http://dx.doi.org/10.3917/ae.313.0005.

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Foley, Anne. "Confusion?" BMJ 334, n.º 7603 (24 de maio de 2007): 1111. http://dx.doi.org/10.1136/bmj.39199.713484.be.

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Philpott, R. "Confusion". British Journal of Psychiatry 180, n.º 5 (maio de 2002): 467. http://dx.doi.org/10.1192/bjp.180.5.467.

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Mais fontes

Teses / dissertações sobre o assunto "Confusion"

1

Hiew, Cha Kie, e 邱佳琪. "Confusion and exploration". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45689921.

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2

Zixin, Shan. "Confusion or Likelihood of Confusion? : Trademark Infringement in China and EU". Thesis, Uppsala universitet, Juridiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-356259.

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3

Walser, Andreas. "Ansätze zur Reduktion von Consumer Confusion Consumer Confusion im Markt für Digitalkameras /". St. Gallen, 2006. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/01655026001/$FILE/01655026001.pdf.

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Wheeler, Paul H. (Paul Harrison). "Aspects of automation mode confusion". Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42375.

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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.
Includes bibliographical references (p. 101-108).
Complex systems such as commercial aircraft are difficult for operators to manage. Designers, intending to simplify the interface between the operator and the system, have introduced automation to assist the operator. In most cases, the automation has helped the operator, but at times operator confusion as to what the automation is doing has created dangerous situations that lead to property damage or loss of life. This problem, known as mode confusion, has been difficult to analyze and thus solutions tend to be reactive instead of proactive. This thesis examines mode confusion as an emergent property of the operator and the automation. It develops models of the automation and the operator and then studies their emergent behavior. It then applies the model in a case study.
by Paul H. Wheeler.
S.M.

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5

Howell, Dominic. "Confusion modelling for lip-reading". Thesis, University of East Anglia, 2015. https://ueaeprints.uea.ac.uk/53395/.

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Lip-reading is mostly used as a means of communication by people with hearing di�fficulties. Recent work has explored the automation of this process, with the aim of building a speech recognition system entirely driven by lip movements. However, this work has so far produced poor results because of factors such as high variability of speaker features, diffi�culties in mapping from visual features to speech sounds, and high co-articulation of visual features. The motivation for the work in this thesis is inspired by previous work in dysarthric speech recognition [Morales, 2009]. Dysathric speakers have poor control over their articulators, often leading to a reduced phonemic repertoire. The premise of this thesis is that recognition of the visual speech signal is a similar problem to recog- nition of dysarthric speech, in that some information about the speech signal has been lost in both cases, and this brings about a systematic pattern of errors in the decoded output. This work attempts to exploit the systematic nature of these errors by modelling them in the framework of a weighted finite-state transducer cascade. Results indicate that the technique can achieve slightly lower error rates than the conventional approach. In addition, it explores some interesting more general questions for automated lip-reading.

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6

Davis, Derick Francis. "Priming consequences of Homophone Confusion". Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/19366.

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I investigate how reading a homophone (e.g. "bye")"a word that sounds the same as another but has different spelling and meaning"can prime judgments and behaviors related to the complementary homophone (e.g. "buy"). Initial reading processes use word sound, not word spelling, to activate word meaning stored in memory. I theorize homophone priming occurs when consumers encounter and process homophones and a secondary, relatively controlled process fails to suppress meanings associated with the incorrect homophone. Additionally, this effect is more likely to occur when consumers experience cognitive load, which reduces ability to suppress the alternate homophone meanings. In this dissertation I document homophone behavioral and perceptual priming, investigate the process underlying the effects, and contribute to the priming literature in general. More specifically, this dissertation contributes to the understanding of the role of phonology (word sound) in behavioral and perceptual priming in general and in consumer contexts.
Ph. D.

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7

Smith, Alex. "Cannabis confusion : criminalization and decriminalization revisited". Bachelor's thesis, University of Cape Town, 1995. http://hdl.handle.net/11427/19072.

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8

Hogan, Benedict Gabriel. "Dazzle camouflage and the confusion effect". Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.707735.

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9

Nilsson, Jakub. "Confusion Causing Chimeras : An evaluation of the Moral Confusion argument against the creation of human-nonhuman chimeras". Thesis, Umeå universitet, Institutionen för idé- och samhällsstudier, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-122674.

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10

Schweizer, Markus. "Consumer Confusion im Handel : ein umweltpsychologisches Erklärungsmodell /". [S.l.] : [s.n.], 2004. http://aleph.unisg.ch/hsgscan/hm00115260.pdf.

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Mais fontes

Livros sobre o assunto "Confusion"

1

Jane, Howard Elizabeth. Confusion. Thorndike, Me: G. K. Hall, 1994.

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2

Confusion. London: Pan, 1994.

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3

Jane, Howard Elizabeth. Confusion. London: QPD, 1994.

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4

Zweig, Stefan. Confusion. New York: New York Review Books, 2012.

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5

Jane, Howard Elizabeth. Confusion. Thorndike, Me., USA: G.K. Hall, 1994.

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6

Confusion. New York: Pocket Books, 1993.

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7

Stephenson, Neal. The confusion. New York· NY: William Morrow·, 2003.

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8

Pickering, Ernest D. Charismatic confusion. Schaumburg, Ill: Regular Baptist Press, 2006.

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9

Loydell, Rupert M. In confusion. Twickenham: Magwood, 1986.

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10

Stephen, Hillenburg, e Dress Robert ill, eds. Class confusion. New York: Simon Spotlight/Nickelodeon, 2006.

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Mais fontes

Capítulos de livros sobre o assunto "Confusion"

1

Lohlker, Rüdiger. "Introduction: Confusion meets Confusion". In World Wide Warriors, 7–8. Göttingen: V&R unipress, 2019. http://dx.doi.org/10.14220/9783737009386.7.

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2

Wattis, John, e Carol Martin. "Confusion". In Practical Psychiatry of Old Age, 92–116. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-3029-3_5.

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3

Tarulli, Andrew. "Confusion". In Neurology, 1–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55598-6_1.

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4

Iennaco, Joanne DeSanto. "Confusion". In Clinical Case Studies for the Family Nurse Practitioner, 365–67. West Sussex, UK: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118785829.ch72.

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5

Sloan, John P. "Confusion". In Protocols in Primary Care Geriatrics, 49–54. New York, NY: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-0388-6_8.

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6

Abbasi, Adeel, Francis DeRoos, José Artur Paiva, J. M. Pereira, Brian G. Harbrecht, Donald P. Levine, Patricia D. Brown et al. "Confusion". In Encyclopedia of Intensive Care Medicine, 596. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-00418-6_1387.

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7

Bayer, A. J. "Confusion". In Geriatric Medicine, 231–41. London: Springer London, 1989. http://dx.doi.org/10.1007/978-1-4471-1646-2_18.

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8

Tarulli, Andrew. "Confusion". In Neurology, 1–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29632-6_1.

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9

Woodford, Henry, James George e David Oliver. "Confusion". In Acute Medicine in the Frail Elderly, 105–24. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781909368330-4.

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10

Jain, Dinesh Kumar. "Confusion". In Homeopathy, 219–20. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003228622-53.

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Trabalhos de conferências sobre o assunto "Confusion"

1

Jin, Ruochun, Yong Dou, Yueqing Wang e Xin Niu. "Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification". In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/275.

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For deep CNN-based image classification models, we observe that confusions between classes with high visual similarity are much stronger than those where classes are visually dissimilar. With these unbalanced confusions, classes can be organized in communities, which is similar to cliques of people in the social network. Based on this, we propose a graph-based tool named "confusion graph" to quantify these confusions and further reveal the community structure inside the database. With this community structure, we can diagnose the model's weaknesses and improve the classification accuracy using specialized expert sub-nets, which is comparable to other state-of-the-art techniques. Utilizing this community information, we can also employ pre-trained models to automatically identify mislabeled images in the large scale database. With our method, researchers just need to manually check approximate 3% of the ILSVRC2012 classification database to locate almost all mislabeled samples.

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2

Stokes, Klara, e Vicenç Torra. "n-confusion". In the 2012 Joint EDBT/ICDT Workshops. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2320765.2320824.

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3

Siddig, Abubakr, Alessandro Ragano, Hamed Z. Jahromi e Andrew Hines. "Fusion confusion". In the 11th ACM Workshop. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3304113.3326112.

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4

McDonald, Aleecia M. "Cookie confusion". In the 28th of the international conference extended abstracts. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1753846.1754159.

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5

de Oliveira, Benedito, Márcio Ribeiro, José Aldo Silva da Costa, Rohit Gheyi, Guilherme Amaral, Rafael de Mello, Anderson Oliveira, Alessandro Garcia, Rodrigo Bonifácio e Baldoino Fonseca. "Atoms of Confusion". In SBES '20: 34th Brazilian Symposium on Software Engineering. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3422392.3422437.

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6

Westling, Carina. "Immersion and confusion". In the 2013 Inputs-Outputs Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2557595.2557598.

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7

Magnus, Amy L., e Mark E. Oxley. "Theory of confusion". In International Symposium on Optical Science and Technology, editado por Bruno Bosacchi, David B. Fogel e James C. Bezdek. SPIE, 2001. http://dx.doi.org/10.1117/12.448337.

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8

Salminen, Joni, Bernard J. Jansen, Jisun An, Soon-Gyo Jung, Lene Nielsen e Haewoon Kwak. "Fixation and Confusion". In the 2018 Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3176349.3176391.

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9

Singh, Vandana, e Michael B. Twidale. "The confusion of crowds". In the ACM 2008 conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1460563.1460670.

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10

Zhang, Lei. "The Confusion of Growth". In 2021 6th International Conference on Social Sciences and Economic Development (ICSSED 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210407.202.

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Relatórios de organizações sobre o assunto "Confusion"

1

Meadows, Catherine. Identifying Potential Type Confusion in Authenticated Messages. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2002. http://dx.doi.org/10.21236/ada465134.

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2

Slack, Geoffrey J. Deployment of the National Guard: Mobilization in Confusion. Fort Belvoir, VA: Defense Technical Information Center, março de 2009. http://dx.doi.org/10.21236/ada499409.

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3

Cusic, Jerry. The Confusion of Homeland Security with Homeland Defense. Fort Belvoir, VA: Defense Technical Information Center, março de 2009. http://dx.doi.org/10.21236/ada500868.

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4

Hillard, D., M. Ostendorf, A. Stolcke, Y. Liu e E. Shriberg. Improving Automatic Sentence Boundary Detection with Confusion Networks. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 2004. http://dx.doi.org/10.21236/ada460954.

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5

Lee, Seow Hiang. Center of Gravity or Center of Confusion: Understanding the Mystique. Fort Belvoir, VA: Defense Technical Information Center, abril de 1999. http://dx.doi.org/10.21236/ada397314.

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Moyer, William R. US Nuclear Nonproliferation Policy: Keeping the Confusion from Becoming Disorganized. Fort Belvoir, VA: Defense Technical Information Center, abril de 1999. http://dx.doi.org/10.21236/ada363897.

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7

Byrne, Sean J. Defense of Sovereignty: Domestic Operations -- Legal Precedents and Institutional Confusion. Fort Belvoir, VA: Defense Technical Information Center, março de 1997. http://dx.doi.org/10.21236/ada326516.

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Smith, Scott A. Future of Department of Defense Cloud Computing Amid Cultural Confusion. Fort Belvoir, VA: Defense Technical Information Center, março de 2013. http://dx.doi.org/10.21236/ada589450.

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9

Berg, Florian, Julian Koelbel, Anna Pavlova e Roberto Rigobon. ESG Confusion and Stock Returns: Tackling the Problem of Noise. Cambridge, MA: National Bureau of Economic Research, outubro de 2022. http://dx.doi.org/10.3386/w30562.

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Stanko, Joseph J. Coup D'Oeil or Confusion: An Assessment of the Common Operational Picture. Fort Belvoir, VA: Defense Technical Information Center, abril de 1999. http://dx.doi.org/10.21236/ada425312.

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