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Rozprawy doktorskie na temat „Categorization (Psychology)”

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1

Stewart, Neil. "Perceptual categorization". Thesis, University of Warwick, 2001. http://wrap.warwick.ac.uk/36672/.

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The categorization of external stimuli lies at the heart of cognitive science. Existing models of perceptual categorization assume (a) information about the absolute magnitude of a stimulus is used in the categorization decision, and (b) the representation of a stimulus does not change with experience. The three experimental programs presented here challenge these two assumptions. The experiments in Chapter 2 demonstrate that existing models of categorization are unable to predict the classification of items intermediate between two categories. Chapter 3 provides empirical evidence that categorization responses are heavily influenced by the immediately preceding context, consistent with evidence from absolute identification showing people have very poor access to absolute magnitude information. A memory and contrast model is presented where each categorization decision is based on the perceived difference between the current stimulus and immediately preceding stimuli. This model is shown to account for the data from Chapters 2 and 3. Chapter 4 explores the claim that new features may be created on experience with novel stimuli, and that these features serve to alter the representation of stimuli to facilitate new categorization tasks. An alternative account is offered for existing feature creation evidence. However, experimental work re-establishes a feature creation effect. Consideration is given as to how feature creation and memory and contrast accounts of categorization may be integrated, together with extensive suggestions for the development of these ideas.

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2

Zhang, Hanshu. "Processing global properties in Scene Categorization". Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1495799774568591.

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3

Deng, Wei. "The Role of Linguistic Labels in Categorization". The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306871100.

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4

Yang, Lee-Xieng. "Knowledge partitioning in categorization". University of Western Australia. School of Psychology, 2004. http://theses.library.uwa.edu.au/adt-WU2005.0016.

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5

Christy, Kristin N. "Generalization within an implicit categorization task". Oxford, Ohio : Miami University, 2003. http://www.ohiolink.edu/etd/view.cgi?miami1060840327.

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6

Sun, Jie. "Object categorization for affordance prediction". Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24625.

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Thesis (Ph.D.)--Computing, Georgia Institute of Technology, 2009.
Committee Chair: Rehg, James M.; Committee Co-Chair: Bobick, Aaron; Committee Member: Balch, Tucker; Committee Member: Christensen, Henrik I.; Committee Member: Pietro Perona

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7

Ferland, Mark B. "Infants' categorization of melodic contour". Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74028.

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8

Dial, Lauren Ann. "Healthy? Tasty? Children's Evaluative Categorization of Novel Foods". Bowling Green State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1518364823958472.

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9

Falk, Robert S. "Sociometric Categorization of Children: An Empirically Based Method". VCU Scholars Compass, 1988. http://scholarscompass.vcu.edu/etd/4717.

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The use of sociometric assessment as a method for investigating the social competence of children and the prediction of future adjustment difficulties was reviewed. Recent methods used to form up to five sociometric groups (Popular, Average, Rejected, Neglected, and Controversial) were surveyed. Various combinations of raw scores, standard deviation units, standardized scores, and binomial probability scores have been used in classification procedures. lnclusion/exclusion criteria, or cutoff scores, have been based on arbitrary statistical decisions regarding the ”extremeness" of children’s statements (positive and negative nominations) regarding their peers. These aspects of sociometric categorization result in limitations on the validity and generalizability of research in the area. The current study attempted to develop an empirically based categorization system to remedy limitations to sociometric research. Four components made up the study. The relationship between a set of teacher-reported behavioral descriptors and continuous sociometric data was determined. Second, contingent-frequency tables for the behavioral descriptors most strongly associated with the sociometric data were developed. Third, cutting scores to maximize the behavioral homogeneity of sociometric groups were determined from this information. Finally, the efficiency of binomial scores in classifying children sociometrically was compared to that achieved by arbitrary classification schemes. An empirically based method for sociometric categorization was developed which differed significantly from previously devised methods. Discriminant function analyses for the new method and two arbitrary methods were performed to assess the prediction of Average, Popular, and Rejected groups from parent ratings. No significant difference was found between the three methods’ ability to correctly classify cases into one of the three groups with parent ratings as predictor variables. However, two important groups (Neglected and Controversial children) were deleted from the comparison because of inadequate size. This placed an unintended limit on the validational comparison. Advantages of an empirical approach to sociometric classification and implications of the study are discussed in terms of the cognitive psychological concept of prototypes. Limitations of the current study together with possible directions for future research are presented.

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10

Gyurovski, Ivo Ivanov. "Spontaneous Categorization: Assessment of Implicit Stereotype Content Awareness". W&M ScholarWorks, 2011. https://scholarworks.wm.edu/etd/1539626670.

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11

Deng, Wei. "The Role of Attention in the Development of Categorization". The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1433508672.

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12

Kleman, Nadine. "Categorization of Medically-relevant Inquiries from Online Discussion Forums". Kent State University Honors College / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1545172252981572.

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13

Turcotte, Dana. "Gossip and the Group: A Self-Categorization Perspective". Scholarship @ Claremont, 2012. http://scholarship.claremont.edu/cgu_etd/30.

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Gossip is a little studied topic and even fewer studies have examined gossip from the perspective of social identity and self categorization theories. However, many of the functions of gossip have significant implications for group processes, including bonding, norm transmission and reinforcement, marginalization of deviants, and social influence. Particularly for those on the margins of the group, gossip may be used as a tool to gain acceptance in the group, as gossip is an effective way to express group loyalty and adherence to group norms. Study One investigated the extent to which being a prototypical member of one's group was predictive of likelihood to spread gossip. Using sororities as the group, members were presented with a hypothetical piece of gossip and asked the extent to which the member who gossiped is prototypical, how likely they would be to share the gossip with other group members, and how prototypical they perceive themselves to be of the sorority. It was predicted that peripheral group members would be more likely to spread gossip than central group members, particularly about other peripheral group members, and particularly when the information was not highly negative. Study Two was conducted in parallel, using the same methodology, but with a piece of gossip about a celebrity instead of a fellow sorority member. It was predicted that the results would mirror those of Study One and that peripheral members would be most likely to spread the gossip. While none of the stated hypotheses were supported, there were several unanticipated interactions. In both Study One and Study Two, there was a significant three-way interaction, in that a highly uncertain respondent, a prototypical target, and relatively mildly negative gossip was associated with anticipated transmission to the highest number of sorority members. While the results were unanticipated, they are not inexplicable and the implications for research in the areas of gossip, celebrity, and self categorization theory are discussed.

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14

Davies, Jim. "Correlation and consistent contrast biases shown in free sort categorization". Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/29448.

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15

James, Nathalie. "The role of subjective input in causal category formation". Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1781954331&sid=6&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Preda, Matthew Steven. "Measuring Hypodescent in the Social Categorization of Multiracial Targets". W&M ScholarWorks, 2018. https://scholarworks.wm.edu/etd/1550153980.

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Individuals of multiracial descent are often categorized and perceived as belonging to the socially subordinate (i.e. non-White) racial group, according to the rule of hypodescent, a product of the history of racial discrimination and segregation in the United States. This paper describes two studies of racial categorization which illustrate the importance of hypodescent in the social categorization of ambiguous multiracial targets. Hypodescent was observed among both Black and White observers (Studies 1 and 2), suggesting that societally enforced rules about racial categories affect individuals' decisions about the category membership of others. in Study 2, hypodescent was measured using a self-report questionnaire as well as a behavioral dual categorization procedure, but these measures were not found to correlate. Study 2 also illustrated that hypodescent may be stronger for Black-White multiracials than for Asian-White multiracials in behavioral, but not self-report, measures. Both studies provide mixed evidence regarding the influence of several previously-described personality variables and their relationship to the use of hypodescent. These findings are discussed in the context of broader social cognitive processes and the downstream application of stereotypes associated with marginalized racial categories.

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17

Colreavy, Erin Patricia. "Unsupervised categorization : perceptual shift, strategy development, and general principles". University of Western Australia. School of Psychology, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0232.

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Unsupervised categorization is the task of classifying novel stimuli without external feedback or guidance, and is important for every day decisions such as deciding whether emails fall into 'interesting

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18

Kittel, Julie Ann. "Attention to and Categorization of Monoracial and Racially Ambiguous Faces". W&M ScholarWorks, 2012. https://scholarworks.wm.edu/etd/1539626701.

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19

Miller, Benjamin Alan. "Distance Effects in Similarity Based Free Categorization". CSUSB ScholarWorks, 2015. https://scholarworks.lib.csusb.edu/etd/238.

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This experiment investigated the processes underlying similarity-based free categorization. Of particular interest was how temporal distance between similar objects affects the likelihood that people will put them into the same novel category. Participants engaged in a free categorization task referred to as binomial labeling. This task required participants to generate a two-part label (A1, B1, C1, etc.) indicating family (superordinate) and species (subordinate) levels of categorization for each object in a visual display. Participants were shown the objects one at a time in a sequential presentation; after labeling each object, they were asked to describe the similarity between that object and previous objects by selecting one of five choices from a drop down menu. Our main prediction was that temporal distance should affect categorization, specifically, that people should be less likely to give two identical objects the same category label the farther apart they are shown in the display. The primary question being addressed in this study was whether the effects of distance are due to a decreased likelihood of remembering the first object when labeling the second (what we refer to as a stage 1 or sampling effect) or to factors during the actual comparison itself (a stage 2 or decision effect)? Our results showed a significant effect of distance on both the likelihood of giving identical objects the same label as well as on the likelihood of mentioning the first object when labeling the second object in an identical pair. Specifically, as the distance between two identical objects increased, the likelihood of giving them the same label, as well as mentioning their similarity, both decreased. Importantly, the decreased probability of giving the second object the same label seemed entirely due to the decreased probability of remembering (sampling) the first object, as indicated by the menu responses. These results provide strong support for the idea that the effect of temporal distance on free categorization is mainly due to stage 1 factors, specifically to its effect on the availability of the first instance in memory when labeling the second. No strong evidence was found in this experiment supporting a separate distance effect at the comparison-decision stage (i.e., stage 2).

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20

Cagigas, Xavier E. "Cultural determinants of category learning". Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3307160.

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Thesis (Ph. D.)--University of California, San Diego and San Diego State University, 2008.
Title from first page of PDF file (viewed July 9, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 105-118).

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21

Edwards, Darren J. "Spontaneous and relative categorisation". Thesis, Swansea University, 2010. https://cronfa.swan.ac.uk/Record/cronfa43199.

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22

Kittur, Aniket. "Feature-based vs. relational category learning a dual process view /". Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1456295591&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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23

Migdal, Michael James. "The effect of crossed categorization on the relative heterogeneity effect". Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2002. http://wwwlib.umi.com/cr/syr/main.

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24

Corral, Guadalupe. "Does type of stimulus influence task-irrelevant evaluative categorization processes?" To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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25

Ross, Anne. "Categorization, conceptual conjunction and expertise : a case study from chemistry". Thesis, Open University, 1990. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293161.

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26

Sutter, Christopher M., i Mark D. Eramo. "Automated psychological categorization via linguistic processing system". Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1439.

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Approved for public release; distribution is unlimited
Influencing one's adversary has always been an objective in warfare. However, to date the majority of influence operations have been geared toward the masses or to very small numbers of individuals. Although marginally effective, this approach is inadequate with respect to larger numbers of high value targets and to specific subsets of the population. Limited human resources have prevented a more tailored approach, which would focus on segmentation, because individual targeting demands significant time from psychological analysts. This research examined whether or not Information Technology (IT) tools, specializing in text mining, are robust enough to automate the categorization/segmentation of individual profiles for the purpose of psychological operations (PSYOP). Research indicated that only a handful of software applications claimed to provide adequate functionality to perform these tasks. Text mining via neural networks was determined to be the best approach given the constraints of the profile data and the desired output. Five software applications were tested and evaluated for their ability to reproduce the results of a social psychologist. Through statistical analysis, it was concluded that the tested applications are not currently mature enough to produce accurate results that would enable automated segmentation of individual profiles based on supervised linguistic processing.
Captain, United States Marine Corps
Lieutenant, United States Navy

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27

Eramo, Mark D. Sutter Christopher M. "Automated psychological categorization via linguistic processing system /". Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FEramo.pdf.

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Thesis (M.S. in Information Technology Management and M.S. in Information Systems and Operations)--Naval Postgraduate School, Sept. 2004.
Thesis advisor(s): Raymond Buettner, Magdi Kamel. Includes bibliographical references (p. 115-122). Also available online.

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28

Baldwin, Shaun. "Racial categorization of ethnically ambiguous faces and the cross-race effect". Click here for download, 2007. http://proquest.umi.com/pqdweb?did=1288668691&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.

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Cabrera, Ańgel. "The effect of language in the categorization of events". Thesis, Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/28869.

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Murphy, Carole. "'Doing' normal : a membership categorization analysis (MCA) of recovery from addiction". Thesis, Kingston University, 2014. http://eprints.kingston.ac.uk/30605/.

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Research investigating recovery from addiction has grown in recent years. This new recovery paradigm is gaining momentum, and a key construct proposed through which to understand it is that of recovery capital, which emphasises how access to social, cultural, human and physical capital can impact on this experience. This thesis contributes to these debates through an exploration of two key issues: recovery capital or ‘resources’, and identity construction. The analysis draws on ethnomethodology to demonstrate how social order is achieved through the everyday, situated accomplishments of members’ practical action and practical reasoning. Consistent with this methodological framework, the data were analysed using Membership Categorization Analysis (MCA) to illuminate how those in recovery draw on particular discourses, linguistic devices and ‘commonsense’ knowledge to produce a recovery identity in situ. Respondents demonstrated the temporality of the recovery process by invoking cultural knowledge about ‘turning points’ and ‘rock bottom’ as evidence of initiation into this new membership category. Attributes of a ‘resourceful’ recovery identity were further shown through implicit or explicit reference to “Better than well”, a linguistic device common in many recovery communities. Significantly, in contrast to the notion that recovery capital relies on access to external resources, the analysis illustrates that it can be understood as an interactional resource, invoked to display membership of the category ‘doing’ recovery. Additionally, a fimdamental concern for many respondents throughout this process was the production of a ‘normal’ identity. How respondents’ talk about negotiating the stigma associated with their former membership of a morally disreputable category is a crucial factor. MCA reveals the everyday cultural knowledge used by individuals to ‘do’ normal. It therefore contributes to a richer understanding of the recovery experience, and can serve as a reference point for future studies about identity construction in recovery.

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31

Smith, Gregory J. "TOWARD A TWO-STAGE MODEL OF FREE CATEGORIZATION". CSUSB ScholarWorks, 2015. https://scholarworks.lib.csusb.edu/etd/234.

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This research examines how comparison of objects underlies free categorization, an essential component of human cognition. Previous results using our binomial labeling task have shown that classification probabilities are affected in a graded manner as a function of similarity, i.e., the number of features shared by two objects. In a similarity rating task, people also rated objects sharing more features as more similar. However, the effect of matching features was approximately linear in the similarity task, but superadditive (exponential) in the labeling task. We hypothesize that this difference is due to the fact that people must select specific objects to compare prior to deciding whether to put them in the same category in the labeling task, while they were given specific pairs to compare in the rating task. Thus, the number of features shared by two objects could affect both stages (selection and comparison) in the labeling task, which might explain their super-additive effect, whereas it affected only the latter comparison stage in the similarity rating task. In this experiment, participants saw visual displays consisting of 16 objects from three novel superordinate artificial categories, and were asked to generate binomial (letter-number) labels for each object to indicate their super-and-subordinate category membership. Only one object could be viewed at a time, and these objects could be viewed in any order. This made it possible to record what objects people examine when labeling a given object, which in turn permits separate assessment of stage 1 (selection) versus stage 2 (comparison/decision). Our primary objective in this experiment was to determine whether the increase in category labeling probabilities as a function of level of match (similarity) can be explained by increased sampling alone (stage 1 model), an increased perception of similarity following sampling (stage 2 model), or some combination (mixed model). The results were consistent with earlier studies in showing that the number of matching discrete features shred by two objects affected the probability of same-category label assignment. However, there was no effect of the level of match on the probability of visiting the first matching object while labeling the second. This suggests that the labeling effect is not due to differences in the likelihood of comparing matching objects (stage 1) as a function of the level of match. Thus, the present data provides support for a stage 2 only model, in which the evaluation of similarity is the primary component underlying the level of match effect on free categorization.

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32

Norris, Dwayne G. "Leadership perceptions of men and women : a leadership categorization view /". Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06162009-063014/.

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33

McRae, Ken 1962. "Independent and correlated properties in artifact and natural kind concepts". Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70271.

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The roles of independent and correlated properties in real world object concepts were explored. Property norms were collected for 190 natural kinds and artifacts. The norms were used to design behavioral experiments and computational models of concept similarity. Property intercorrelations influenced performance in property verification. Concept similarity, as measured by overlap of independent properties, predicted similarity ratings, speeded same/different category decision latency, and short interval priming latency. Concept similarity, as measured by overlap of correlated properties, predicted same/different category decision latency and short interval priming for natural kinds. It was concluded that people encode knowledge about independent and correlated properties of real-world objects. The influence of property intercorrelations is stronger for natural kinds because natural kinds contain a higher proportion of correlated properties. In the investigation of short interval semantic priming, results suggested that semantic relatedness can be defined in terms of property overlap between concepts.

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34

Wan, Wing-nga Wendy, i 尹咏雅. "Effects of novel conceptual combination on creativity". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31223576.

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Wan, Wing-nga Wendy. "Effects of novel conceptual combination on creativity /". Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21924004.

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Dʹavila, David Michael. "The consistency bias and categorization : the effects of consistent contrast and hierarchical organization on category learning and transfer". Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/28919.

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37

Sabatos, Maura G. "The effect of stimulus type on children's spontaneous inductions using recognition memory as an indicator of categorization /". Click here for download, 2006. http://wwwlib.umi.com/cr/villanova/fullcit?p1435588.

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38

Shikano, Teruyuki. "Effect of instructions in category learning". Thesis, Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/30966.

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39

Inan, Seyma. "Categorization Skills in Children: The Relationship between Maternal Strategy Use and Children Strategy Use". Miami University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=miami1532608485832591.

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40

Petro, Lucy S. "Diagnostic information use to understand brain mechanisms of facial expression categorization". Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/2011/.

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Proficient categorization of facial expressions is crucial for normal social interaction. Neurophysiological, behavioural, event-related potential, lesion and functional neuroimaging techniques can be used to investigate the underlying brain mechanisms supporting this seemingly effortless process, and the associated arrangement of bilateral networks. These brain areas exhibit consistent and replicable activation patterns, and can be broadly defined to include visual (occipital and temporal), limbic (amygdala) and prefrontal (orbitofrontal) regions. Together, these areas support early perceptual processing, the formation of detailed representations and subsequent recognition of expressive faces. Despite the critical role of facial expressions in social communication and extensive work in this area, it is still not known how the brain decodes nonverbal signals in terms of expression-specific features. For these reasons, this thesis investigates the role of these so-called diagnostic facial features at three significant stages in expression recognition; the spatiotemporal inputs to the visual system, the dynamic integration of features in higher visual (occipitotemporal) areas, and early sensitivity to features in V1. In Chapter 1, the basic emotion categories are presented, along with the brain regions that are activated by these expressions. In line with this, the current cognitive theory of face processing reviews functional and anatomical dissociations within the distributed neural “face network”. Chapter 1 also introduces the way in which we measure and use diagnostic information to derive brain sensitivity to specific facial features, and how this is a useful tool by which to understand spatial and temporal organisation of expression recognition in the brain. In relation to this, hierarchical, bottom-up neural processing is discussed along with high-level, top-down facilitatory mechanisms. Chapter 2 describes an eye-movement study that reveals inputs to the visual system via fixations reflect diagnostic information use. Inputs to the visual system dictate the information distributed to cognitive systems during the seamless and rapid categorization of expressive faces. How we perform eye-movements during this task informs how task-driven and stimulus-driven mechanisms interact to guide the extraction of information supporting recognition. We recorded eye movements of observers who categorized the six basic categories of facial expressions. We use a measure of task-relevant information (diagnosticity) to discuss oculomotor behaviour, with focus on two findings. Firstly, fixated regions reveal expression differences. Secondly, by examining fixation sequences, the intersection of fixations with diagnostic information increases in a sequence of fixations. This suggests a top-down drive to acquire task-relevant information, with different functional roles for first and final fixations. A combination of psychophysical studies of visual recognition together with the EEG (electroencephalogram) signal is used to infer the dynamics of feature extraction and use during the recognition of facial expressions in Chapter 3. The results reveal a process that integrates visual information over about 50 milliseconds prior to the face-sensitive N170 event-related potential, starting at the eye region, and proceeding gradually towards lower regions. The finding that informative features for recognition are not processed simultaneously but in an orderly progression over a short time period is instructive for understanding the processes involved in visual recognition, and in particular the integration of bottom-up and top-down processes. In Chapter 4 we use fMRI to investigate the task-dependent activation to diagnostic features in early visual areas, suggesting top-down mechanisms as V1 traditionally exhibits only simple response properties. Chapter 3 revealed that diagnostic features modulate the temporal dynamics of brain signals in higher visual areas. Within the hierarchical visual system however, it is not known if an early (V1/V2/V3) sensitivity to diagnostic information contributes to categorical facial judgements, conceivably driven by top-down signals triggered in visual processing. Using retinotopic mapping, we reveal task-dependent information extraction within the earliest cortical representation (V1) of two features known to be differentially necessary for face recognition tasks (eyes and mouth). This strategic encoding of face images is beyond typical V1 properties and suggests a top-down influence of task extending down to the earliest retinotopic stages of visual processing. The significance of these data is discussed in the context of the cortical face network and bidirectional processing in the visual system. The visual cognition of facial expression processing is concerned with the interactive processing of bottom-up sensory-driven information and top-down mechanisms to relate visual input to categorical judgements. The three experiments presented in this thesis are summarized in Chapter 5 in relation to how diagnostic features can be used to explore such processing in the human brain leading to proficient facial expression categorization.

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Rice, Diana R. Mullen Brian. "The social cognition of ingroup and outgroup faces the paradox of categorization and recognition /". Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2004. http://wwwlib.umi.com/cr/syr/main.

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Calhoun, David Owen. "Taxonomic or Thematic : Categorization of Familiar Objects by Preschool-Aged Children". DigitalCommons@USU, 1995. https://digitalcommons.usu.edu/etd/6048.

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To acquire language, children must learn how to categorize objects on the basis of the meanings that cultures have assigned to the objects. A series of six experiments tested how preschool-aged children categorize familiar objects. Each experiment used a matching-to-sample format in which children matched pictures of familiar objects (comparisons) to a sample stimulus picture. The sample and one comparison related taxonomically (on the basis of function) from which the children were to find another stimulus that was the same as the sample. Each experiment was a systematic replication of published research and of the prior experiment. In all six experiments, these pre-school-aged children demonstrated a statistically significant preference for the taxonomic stimulus. No statistically significant differences were found between genders. The results of these six experiments did not support the development trend described in the majority of the extant literature. These findings are also contrary to the research literature, with one noted exception.

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Laske, Kate M. "Correlation of assessment measures in a rehabilitation program for individuals with traumatic brain injury". Oxford, Ohio : Miami University, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1082685973.

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Wood, Timothy J. "On the rules-to-episodes transition in classification : generalization of similarity and rules with practice /". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0001/NQ42888.pdf.

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Doan, Charles A. "Connecting Unsupervised and Supervised Categorization Behavior from a Parainformative Perspective". Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1521548439515138.

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Lambert, Sophie. "L'impact de facteurs socio-cognitifs dans la modulation de l'effet d'accentuation: une analyse exploratoire". Doctoral thesis, Universite Libre de Bruxelles, 2003. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211224.

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SHEEP, MATHEW L. "WHEN CATEGORIES COLLIDE: A DISCURSIVE PSYCHOLOGY APPROACH TO THE ELASTICITY OF MULTIPLE IDENTITIES". University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1154661669.

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ZARL, FRANCESCA. "MEMBERSHIP AND TYPICALITY IN CONCEPT REPRESENTATION: FROM COGNITIVE PSYCHOLOGY TO INFORMATION TECHNOLOGY". Doctoral thesis, Università degli Studi di Trieste, 2017. http://hdl.handle.net/11368/2908215.

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The thesis concerns knowledge representation in humans and machines. In particular it focuses on the role of concepts in knowledge representation, a topic at the intersection of Cognitive Psychology (CP) and Information Technology (IT). When humans and machines need to interact, problem dependent on different mechanisms for representing the same knowledge emerge. This issue is broadly debated in the recent literature. An optimal interaction between humans and machines could be eventually achieved by taking into account the human cognitive side of knowledge representation and by making these computational representations cognitively plausible for individuals. The thesis focus on Membership and Typicality in human categorization and takes into account the role that such factors could assume in concept representation in IT, by analyzing their impact on categorization in Web ontologies. The thesis is structured into a first part that describes the specific theoretical contributions of CP and IT, emphasizing the commonalities between the two perspectives, and a second empirical part that reports six original studies, five laboratory experiments and an online survey. Laboratory experiments were based on sentence verification tasks performed by participants, where Membership and Typicality were directly contrasted, with the goal of measuring the effect of such factors on categorization. The online survey explore users' attitudes and opinions towards schema.org, a general ontology for the Semantic Web. Findings are consistent with the idea that – in addition to Membership –Typicality should be considered in concept representation and supports the conclusion that, to be more usable, Information Technology should prefer cognitively plausible ontologies.

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Hardee, Alice Anne. "The effects of work group composition or minority self-categorization and performance". Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/29514.

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Scharp, Victoria L. "THE CATEGORIZATION OF COMMON OBJECTS BY ADULTS WITH TRAUMATIC BRAIN INJURY: APPLICATION OF A SYSTEMATIC TRAINING PROGRAM". Oxford, Ohio : Miami University, 2002. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1027535270.

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Thesis (M.A.)--Miami University, Dept. of Speech Pathology and Audiology, 2002.
Title from first page of PDF document. Document formatted into pages; contains ix, 86 p. Includes bibliographical references (p. 69-75).

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