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(2013). Categorical data analysis (3rd ed.). Wiley.\nAgresti, A., & Min, Y. (2001). On small-sample confidence intervals for parameters in discrete distributions. Biometrics, 57, 963–971.\nBaptista, J., & Pike, M. C. (1977). Exact two-sided confidence limits for the odds ratio in a 2 × 2 table. Journal of the Royal Statistical Society, C, 26, 214–220.\nBlough, D. S. (2001). Some contributions of signal detection theory to the analysis of stimulus control in animals. Behavioral Processes, 54, 127–136.\nChoi, L., Blume, J. D., & Dupont, W. D. (2015). Elucidating the foundations of statistical inference with 2 × 2 tables. PLOS One, 10, e0121263.\nCox, D. R. (1958). Some problems connected with statistical inference. Annals of Mathematical Statistics, 29, 357–372.\nCox, D. R., & Snell, E. J. (1989). The analysis of binary data (2nd ed.). Chapman and Hall.\nFleiss, J. L., Levin, B., & Paik, M.C. (2003). Statistical methods for rates and proportions (3rd ed.). Wiley.\nGart, J. J. (1970). Point and interval estimation of the common odds ratio in the combination of 2 × 2 tables with fixed marginals. Biometrika, 57, 471–475.\nGourevitch, V., & Galanter, E. (1967). A significance test for one parameter isosensitivity functions. Psychometrika, 32, 25–33.\nGreen D. M. (2020). A homily on signal detection theory. Journal of the Acoustical Society of America, 148, 222–225.\nGreen, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics. Wiley.\nHautus, M. J. (1995). Corrections for extreme proportions and their biasing effects on estimated values of d′. Behavior Research Methods, Instruments, & Computers, 27, 46–51.\nHays, W. L. (1963). Statistics. Holt, .\nHiscock, M. & Hiscock, C.K. (1989). Refining the forced–choice method for the detection of malingering. Journal of Clinical and Experimental Neuropsychology, 11, 967–974.\nHuang, Y., & Ferreira, F. (2020). The application of signal detection theory to acceptability judgments. Frontiers in Psychology, 11, 73.\nHyett, M., Parker, G., & Breakspear, M. (2014). Bias and discriminability during emotional signal detection in melancholic depression. BMC Psychiatry, 14, 122.\nKadlec, H. (1999). Statistical properties of d′ and β estimates of signal detection theory. Psychological Methods, 4, 22–43.\nKantner, J., & Lindsay, D.S. (2012). Response bias in recognition memory as a cognitive trait. Memory & Cognition, 40, 1163–1177.\nKostopoulou, O. Nurek, M., Cantarella, S., Okoli, G., Fiorentino, F., & Delaney, B. C. (2019). Referral decision making of general practitioners: A signal detection study. Medical Decision Making, 39, 21–31.\nKöteles, F., Szemerszky, R., Gubányi, M., Körmendi, J., Szekŕenyesi, C., Lloyd, R., Molńar, L., Drozdovszky, O., & B́ardos, G. (2013). Idiopathic environmental intolerance attributed to electromagnetic fields (IEI-EMF) and electrosensibility (ES)—Are they connected? International Journal of Hygiene and Environmental Health, 216, 362–370.\nLuce, R. D. (1959). Individual choice behavior. Wiley.\nMacmillan, N. A., & Creelman, C. D. (2005). Detection theory: A user’s guide (2nd ed.). Erlbaum.\nMacmillan, N. A., Rotello, C. M., & Miller, J. O. (2004). The sampling distributions of Gaussian ROC statistics. Perception & Psychophysics, 66, 406–421.\nMcNemar, Q. (1962). Psychological statistics (3rd ed.). Wiley.\nMcNicol, D. (2005). A primer of signal detection theory. Erlbaum.\nMerten, T., & Merckelbach, H. (2013). Forced-choice tests as single-case experiments in the differential diagnosis of intentional symptom distortion. Journal of Experimental Psychopathology, 4, 20–37.\nMiller, J. (1996). The sampling distribution of d′. Perception & Psychophysics,58, 65–72.\nMiller, J., & Schwarz, W. (2018). Implications of individual differences in on-average null effects. Journal of Experimental Psychology: General, 147,377–397.\nMorgan, B. J. T. (2009). Applied stochastic modelling (2nd ed.). Chapman & Hall.\nMueller, S. T., & Weidemann, C. T. (2008). Decision noise: An explanation for observed violations of signal detection theory. Psychonomic Bulletin & Review, 15, 465–494.\nO’Connor, S. M., Davies, J. B., Heffernan, D. D., & van Eijk, R. (2003). An alternative method for predicting attrition from an alcohol treatment programme. Alcohol & Alcoholism, 38, 568–573.\nPawitan, Y. (2013). In all likelihood: Statistical modelling and inference using likelihood (2nd ed.). Oxford University Press.\nRasch, G. (1966). An item analysis which takes individual differences into account. British Journal of Mathematical and Statistical Psychology, 19, 49–57.\nRotello, C. M., Masson, M. E. J., & Verde, M. F. (2008). Type I error rates and power analyses for single-point sensitivity measures. Perception & Psychophysics, 70, 389–401.\nSchwarz, W. (1992). Do two eyes really see more than one? Journal of Mathematical Psychology, 36, 269–277.\nSchwarz, W. (2008). 40 puzzles and problems in probability and mathematical statistics. Springer.\nScurich, N., & John, R.S. (2011). Constraints on restraints: A signal detection analysis of the use of mechanical restraints on adult psychiatric inpatients. Southern California Review of Law and Social Justice, 21, 75–107.\nStanislaw, H., & Todorov, N. (1999). Calculation of signal detection theory measures. Behavioral Research Methods, Instruments, & Computers, 31, 137–149.\nTanner, W. P., & Swets, J. A. (1954). A decision-making theory of visual detection. Psychological Review, 61, 401–409.\nTrimmer, P.C., Ehlman, S.M., McNamara, J.M., & Sih, A. (2017). The erroneous signals of detection theory. Proceedings of the Royal Society B, 284, 20171852.\nVerde, M.F., Macmillan, N.A., & Rotello, C.M. (2006). Measures of sensitivity based on a single hit rate and false alarm rate: The accuracy, precision, and robustness of d′, Az , and A′. Perception & Psychophysics, 68, 643–654.\nWickens, T. D. (2002). Elementary signal detection theory. : Oxford University Press.\nWixted, J.T. (2020). The forgotten history of signal detection theory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 46, 201-233.",{"EN":210},"In many applied single-point Yes\u002FNo signal-detection studies, the main interest is to evaluate the observer’s sensitivity, based on the observed rates of hits and false alarms. For example, Kostopoulou, Nurek, Cantarella et al. (2019, Medical Decision Making, 39, 21–31) presented general practitioners (GPs) with clinical vignettes of patients showing various cancer-related symptoms, and asked them to decide if urgent referral was required; the standard discrimination index d′ was calculated for each GP. An alternative conditional approach to statistical inference emphasizes explicitly the conditional nature of the inferences drawn, and argues on the basis of the response marginal (the number of “yes” responses) that was actually observed. It is closely related to, for example, Fisher’s exact test or the Rasch model in item response theory which have long been valuable and prominent in psychology. The conditional framework applied to single-point Yes\u002FNo detection studies is based on the noncentral hypergeometric sampling distribution and permits, for samples of any size, exact inference because it eliminates nuisance (i.e., bias) parameters by conditioning. We describe in detail how the conditional approach leads to conditional maximum likelihood sample estimates of sensitivity, and to exact confidence intervals for the underlying (log) odds ratio. We relate the conditional approach to classical (logistic) detection models also leading to analyses of the odds ratio, compare its statistical power to that of the unconditional approach, and conclude by discussing some of its pros and cons.",{"EN":212},"The conditional approach to evaluating detection performance",{"VOID":214},"10.3758\u002Fs13414-021-02362-6","PUBLICATION","VERIFIED","Auto Verify","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.3758\u002Fs13414-021-02362-6",[220],{"id":221,"sortIndex":19,"researcher":18,"roles":222,"affiliations":224,"properties":235},"29ff37be-64bd-4c4c-9fd4-aa6e38457f99",[223],"AUTHOR",[225],{"id":18,"sortIndex":19,"affiliation":226,"properties":18},{"id":227,"createTime":228,"updateTime":229,"relativeEntities":230,"slug":231,"properties":232,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"09486834-0e30-42f0-a994-67a32803b207","2024-01-04T04:20:45.544+00:00","2025-06-11T22:14:03.929+00:00",[],"Department-of-Psychology-University-of-Potsdam-Potsdam-Germany",{"title":233},{"VI":234},"Department of Psychology, University of Potsdam, Potsdam, Germany",{"title":236},{"VI":237},"Wolf Schwarz","ARTICLE",{"url":218,"publisher":240,"properties":274},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":241,"slug":10,"properties":242,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":245,"manageAffiliations":246,"indexDatabases":247,"url":18,"thumbnailPath":18,"statistic":269,"gsStatistic":18,"type":195,"analyzePriority":18},[],{"issn":243,"title":244},{"VOID":13},{"VOID":15},[],[],[248,255,262],{"id":70,"indexDatabase":249,"url":83,"indexYears":84,"academicFieldIds":254,"indexDatabaseRanking":89},{"id":72,"createTime":73,"updateTime":74,"relativeEntities":250,"label":251,"description":252,"key":80,"publicationTags":253,"standard":18},[],{"EN":77,"VI":77},{"EN":77,"VI":79},[82],[86,87,88],{"id":110,"indexDatabase":256,"url":106,"indexYears":18,"academicFieldIds":261,"indexDatabaseRanking":18},{"id":112,"createTime":113,"updateTime":114,"relativeEntities":257,"label":258,"description":259,"key":121,"publicationTags":260,"standard":18},[],{"EN":117,"VI":117},{"VI":119,"EN":120},[123,105],[125],{"id":91,"indexDatabase":263,"url":106,"indexYears":18,"academicFieldIds":268,"indexDatabaseRanking":18},{"id":93,"createTime":94,"updateTime":95,"relativeEntities":264,"label":265,"description":266,"key":102,"publicationTags":267,"standard":18},[],{"EN":98,"VI":98},{"VI":100,"EN":101},[104,105],[108],{"impactFactor":19,"impactFactorByYear":270,"i10Index":138,"i10IndexLast5Year":139,"totalPublication":140,"totalPublicationByYear":271,"totalCitation":158,"totalCitationByYear":272,"totalCitationPerPublication":176,"totalCitationPerPublicationByYear":273,"hindexLast5Year":194,"hindex":194},{"2012":128,"2013":129,"2014":130,"2015":131,"2016":132,"2017":133,"2018":128,"2019":134,"2020":135,"2021":136,"2022":132,"2023":137},{"2009":142,"2010":143,"2011":144,"2012":145,"2013":146,"2014":147,"2015":148,"2016":149,"2017":150,"2018":151,"2019":152,"2020":153,"2021":154,"2022":155,"2023":156,"2024":157},{"2009":160,"2010":161,"2011":162,"2012":163,"2013":164,"2014":165,"2015":166,"2016":167,"2017":168,"2018":169,"2019":170,"2020":171,"2021":172,"2022":173,"2023":174,"2024":175},{"2009":178,"2010":179,"2011":180,"2012":181,"2013":182,"2014":183,"2015":184,"2016":185,"2017":186,"2018":187,"2019":188,"2020":189,"2021":190,"2022":191,"2023":192,"2024":193},{"volume":275,"pages":277},{"VOID":276},"84",{"VOID":278},"1393-1402","2021-10-08",2021,false,{"id":283,"createTime":284,"updateTime":285,"relativeEntities":286,"slug":287,"properties":288,"entityType":215,"verifyStatus":216,"verifyTime":285,"verifyNote":217,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":297,"fullTextUrl":18,"authors":298,"publicationType":238,"publisherRelationship":342,"citationCount":18,"citationInfo":18,"publishDate":382,"publishYear":383,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":281},"e7a64c6b-d8a2-477c-83ec-b9e4e3e7d03a","2024-01-16T04:47:47.316+00:00","2024-12-06T23:59:23.505+00:00",[],"Out-of-sight-out-of-mind-Matching-bias-underlies-confirmatory-visual-search",{"references":289,"abstract":291,"title":293,"doi":295},{"VOID":290},"Anderson, B. 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Searching through the hierarchy: How level of target categorization affects visual search. Visual Cognition, 20(10), 1153–1163.\nMenneer, T., Cave, K. R., & Donnelly, N. (2009). The cost of search for multiple targets: Effects of practice and target similarity. Journal of Experimental Psychology: Applied, 15(2), 125.\nMoher, J., & Egeth, H. E. (2012). The ignoring paradox: Cueing distractor features leads first to selection, then to inhibition of to-be-ignored items. Attention, Perception & Psychophysics, 74(8), 1590–1605.\nMynatt, C. R., Doherty, M. E., & Dragan, W. (1993). Information relevance, working memory, and the consideration of alternatives. The Quarterly Journal of Experimental Psychology, 46(4), 759–778.\nNickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175–220.\nOaksford, M., & Stenning, K. (1992). Reasoning with conditionals containing negated constituents. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18(4), 835.\nOlivers, C. N. (2009). What drives memory-driven attentional capture? The effects of memory type, display type, and search type. Journal of Experimental Psychology: Human Perception and Performance, 35(5), 1275.\nOlivers, C. N., Peters, J., Houtkamp, R., & Roelfsema, P. R. (2011). Different states in visual working memory: When it guides attention and when it does not. Trends in Cognitive Sciences, 15(7), 327–334.\nRajsic, J., Wilson, D. E., & Pratt, J. (2015). Confirmation bias in visual search. Journal of Experimental Psychology: Human Perception and Performance, 41(5), 1353–1364.\nRajsic, J., Wilson, D. E., & Pratt, J. (2016). The price of information: Inspection costs reduce the confirmation bias in visual search. The Quarterly Journal of Experimental Psychology.\nRaymond, J. E., Shapiro, K. L., & Arnell, K. M. (1992). Temporary suppression of visual processing in an RSVP task: An attentional blink? Journal of Experimental Psychology: Human Perception and Performance, 18(3), 849.\nSimons, D. J., & Chabris, C. F. (1999). Gorillas in our midst: Sustained inattentional blindness for dynamic events. Perception, 28(9), 1059–1074.\nSligte, I. G., Scholte, H. S., & Lamme, V. A. (2008). Are there multiple visual short-term memory stores? PLoS ONE, 3(2), e1699.\nSobel, K. V., & Cave, K. R. (2002). Roles of salience and strategy in conjunction search. Journal of Experimental Psychology: Human Perception & Psychophysics, 28(5), 1055–1070.\nSoto, D., Hodsoll, J., Rotshtein, P., & Humphreys, G. W. (2008). Automatic guidance of attention from working memory. Trends in Cognitive Sciences, 12(9), 342–348.\nSperber, D., Cara, F., & Girotto, V. (1995). Relevance theory explains the selection task. Cognition, 57(1), 31–95.\nSpivey, M. J., Tyler, M. J., Eberhard, K. M., & Tanenhaus, M. K. (2001). Linguistically mediated visual search. Psychological Science, 12(4), 282–286.\nTheeuwes, J. (1992). Perceptual selectivity for color and form. Perception & Psychophysics, 51(6), 599–606.\nTheeuwes, J., Reimann, B., & Mortier, K. (2006). Visual search for featural singletons: No top-down modulation, only bottom-up priming. Visual Cognition, 14(4\u002F8), 466–489.\nvan Moorselaar, D., Theeuwes, J., & Olivers, C. N. L. (2014). In competition for the attentional template: Can multiple items within visual working memory guide attention? Journal of Experimental Psychology: Human Perception and Performance, 40(4), 1450–1464.\nVickery, T. J., King, L. W., & Jiang, Y. (2005). Setting up the target template in visual search. Journal of Vision, 5(1), 8–8.\nWalenchok, S., Goldinger, S., & Hout, M. (2016). Examining confirmatory search strategies in visual search: People are more flexible than you think. Journal of Vision, 16, 989.\nWason, P. C. (1960). On the failure to eliminate hypotheses in a conceptual task. Quarterly Journal of Experimental Psychology, 12(3), 129–140.\nWason, P. C. (1968). Reasoning about a rule. Quarterly Journal of Experimental Psychology, 20(3), 273–281.\nWolfe, J. M. (2007). Guided search 4.0. In W. D. Gray (Ed.), Integrated models of cognitive systems (pp. 99–119). Oxford: Oxford University Press.\nWolfe, J. M., Cave, K. R., & Franzel, S. L. (1989). Guided search: An alternative to the feature integration model for visual search. Journal of Experimental Psychology: Human Perception and Performance, 15(3), 419.\nYu, C. P., Maxfield, J. T., & Zelinsky, G. J. (2016). Searching for category-consistent features: A computational approach to understanding visual category representation. Psychological Science, 27(6), 870–884.\nZhao, J., Al-Aidroos, N., & Turk-Browne, N. B. (2013). Attention is spontaneously biased toward regularities. Psychological Science, 24(5), 667–77. doi:10.1177\u002F0956797612460407",{"EN":292},"Confirmation bias has recently been reported in visual search, where observers who were given a perceptual rule to test (e.g. “Is the p on a red circle?”) search stimuli that could confirm the rule stimuli preferentially (Rajsic, Wilson, & Pratt, Journal of Experimental Psychology: Human Perception and Performance, 41(5), 1353–1364, 2015). In this study, we compared the ability of concrete and abstract visual templates to guide attention using the visual confirmation bias. Experiment 1 showed that confirmatory search tendencies do not result from simple low-level priming, as they occurred when color templates were verbally communicated. Experiment 2 showed that confirmation bias did not occur when targets needed to be reported as possessing or not possessing the absence of a feature (i.e., reporting whether a target was on a nonred circle). Experiment 3 showed that confirmatory search also did not occur when search prompts referred to a set of visually heterogenous features (i.e., reporting whether a target on a colorful circle, regardless of the color). Together, these results show that the confirmation bias likely results from a matching heuristic, such that visual codes involved in representing the search goal prioritize stimuli possessing these features.",{"EN":294},"Out of sight, out of mind: Matching bias underlies confirmatory visual search",{"VOID":296},"10.3758\u002Fs13414-016-1259-4","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.3758\u002Fs13414-016-1259-4",[299,316,329],{"id":300,"sortIndex":19,"researcher":18,"roles":301,"affiliations":302,"properties":313},"9155855f-60e7-4bc5-ab33-bb0bba4acc63",[223],[303],{"id":18,"sortIndex":19,"affiliation":304,"properties":18},{"id":305,"createTime":306,"updateTime":307,"relativeEntities":308,"slug":309,"properties":310,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"1a803831-80d7-445a-a68b-270a29b33f80","2024-01-03T05:54:51.558+00:00","2025-02-05T01:22:09.797+00:00",[],"University-of-Toronto-Toronto-Canada",{"title":311},{"VI":312},"University of Toronto, Toronto, Canada",{"title":314},{"VI":315},"Jason Rajsic",{"id":317,"sortIndex":318,"researcher":18,"roles":319,"affiliations":320,"properties":326},"8db39498-1e89-47ca-a4fe-78763d630c82",2,[223],[321],{"id":18,"sortIndex":19,"affiliation":322,"properties":18},{"id":305,"createTime":306,"updateTime":307,"relativeEntities":323,"slug":309,"properties":324,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":325},{"VI":312},{"title":327},{"VI":328},"Jay Pratt",{"id":330,"sortIndex":331,"researcher":18,"roles":332,"affiliations":333,"properties":339},"0704d944-ad69-4f4e-8cd9-f3b38b780ad2",1,[223],[334],{"id":18,"sortIndex":19,"affiliation":335,"properties":18},{"id":305,"createTime":306,"updateTime":307,"relativeEntities":336,"slug":309,"properties":337,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":338},{"VI":312},{"title":340},{"VI":341},"J. Eric T. Taylor",{"url":297,"publisher":343,"properties":377},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":344,"slug":10,"properties":345,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":348,"manageAffiliations":349,"indexDatabases":350,"url":18,"thumbnailPath":18,"statistic":372,"gsStatistic":18,"type":195,"analyzePriority":18},[],{"issn":346,"title":347},{"VOID":13},{"VOID":15},[],[],[351,358,365],{"id":70,"indexDatabase":352,"url":83,"indexYears":84,"academicFieldIds":357,"indexDatabaseRanking":89},{"id":72,"createTime":73,"updateTime":74,"relativeEntities":353,"label":354,"description":355,"key":80,"publicationTags":356,"standard":18},[],{"EN":77,"VI":77},{"EN":77,"VI":79},[82],[86,87,88],{"id":110,"indexDatabase":359,"url":106,"indexYears":18,"academicFieldIds":364,"indexDatabaseRanking":18},{"id":112,"createTime":113,"updateTime":114,"relativeEntities":360,"label":361,"description":362,"key":121,"publicationTags":363,"standard":18},[],{"EN":117,"VI":117},{"VI":119,"EN":120},[123,105],[125],{"id":91,"indexDatabase":366,"url":106,"indexYears":18,"academicFieldIds":371,"indexDatabaseRanking":18},{"id":93,"createTime":94,"updateTime":95,"relativeEntities":367,"label":368,"description":369,"key":102,"publicationTags":370,"standard":18},[],{"EN":98,"VI":98},{"VI":100,"EN":101},[104,105],[108],{"impactFactor":19,"impactFactorByYear":373,"i10Index":138,"i10IndexLast5Year":139,"totalPublication":140,"totalPublicationByYear":374,"totalCitation":158,"totalCitationByYear":375,"totalCitationPerPublication":176,"totalCitationPerPublicationByYear":376,"hindexLast5Year":194,"hindex":194},{"2012":128,"2013":129,"2014":130,"2015":131,"2016":132,"2017":133,"2018":128,"2019":134,"2020":135,"2021":136,"2022":132,"2023":137},{"2009":142,"2010":143,"2011":144,"2012":145,"2013":146,"2014":147,"2015":148,"2016":149,"2017":150,"2018":151,"2019":152,"2020":153,"2021":154,"2022":155,"2023":156,"2024":157},{"2009":160,"2010":161,"2011":162,"2012":163,"2013":164,"2014":165,"2015":166,"2016":167,"2017":168,"2018":169,"2019":170,"2020":171,"2021":172,"2022":173,"2023":174,"2024":175},{"2009":178,"2010":179,"2011":180,"2012":181,"2013":182,"2014":183,"2015":184,"2016":185,"2017":186,"2018":187,"2019":188,"2020":189,"2021":190,"2022":191,"2023":192,"2024":193},{"volume":378,"pages":380},{"VOID":379},"79",{"VOID":381},"498-507","2016-12-20",2016,{"id":385,"createTime":386,"updateTime":387,"relativeEntities":388,"slug":389,"properties":390,"entityType":215,"verifyStatus":216,"verifyTime":387,"verifyNote":217,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":399,"fullTextUrl":18,"authors":400,"publicationType":238,"publisherRelationship":441,"citationCount":18,"citationInfo":18,"publishDate":481,"publishYear":482,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":281},"d0be46df-76e6-4c35-81ab-3f79d2ac7943","2024-02-20T12:34:17.313+00:00","2024-09-13T23:58:44.782+00:00",[],"The-role-of-crowding-in-parallel-search-Peripheral-pooling-is-not-responsible-for-logarithmic-efficiency-in-parallel-search",{"references":391,"abstract":393,"title":395,"doi":397},{"VOID":392},"Andriessen, J. 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These results were interpreted as being consistent with a processing architecture where early vision (stage one) processes elements in the display in exhaustive fashion with unlimited capacity and with a limitation in resolution. Here, we evaluate the contribution of crowding to our recent logarithmic search slope findings, considering the possibility that peripheral pooling of features (as observed in crowding) may be responsible for logarithmic efficiency. Factors known to affect the strength of crowding were varied, specifically: item spacing and similarity. The results from three experiments converge on the same pattern of results: reaction times increased logarithmically with set size and were modulated by lure-target similarity even when crowding was minimized within displays through an inter-item spacing manipulation. Furthermore, we found logarithmic search efficiencies were overall improved in displays where crowding was minimized compared to displays where crowding was possible. The findings from these three experiments suggest logarithmic efficiency in efficient search is not the result peripheral pooling of features. That said, the presence of crowding does tend to reduce search efficiency, even in “pop-out” search situations.",{"EN":396},"The role of crowding in parallel search: Peripheral pooling is not responsible for logarithmic efficiency in parallel search",{"VOID":398},"10.3758\u002Fs13414-017-1441-3","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.3758\u002Fs13414-017-1441-3",[401,417,429],{"id":402,"sortIndex":19,"researcher":18,"roles":403,"affiliations":404,"properties":414},"f61cbb3e-1b5b-4df1-9b27-0612dad3969a",[223],[405],{"id":18,"sortIndex":19,"affiliation":406,"properties":18},{"id":407,"createTime":408,"updateTime":408,"relativeEntities":409,"slug":410,"properties":411,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"6df85aa3-73e6-407d-a814-66eabbab35cb","2024-04-19T15:21:24.438+00:00",[],"Department-of-Psychology-University-of-Illinois-at-Urbana-Champaign-Champaign-USA",{"title":412},{"EN":413},"Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, USA",{"title":415},{"VI":416},"Anna 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(2009). Goal-driven attentional capture by invisible colors: Evidence from event-related potentials. Psychonomic Bulletin & Review, 16, 648–653.\nBelopolsky, A. V., Schreij, D., & Theeuwes, J. (2010). What is top-down about contingent capture? Attention. Perception & Psychophysics, 72, 326–341.\nBergen, J. R., & Julesz, B. (1983). Parallel vs. serial processing in rapid pattern discrimination. Nature, 303, 696–698.\nBichot, N. P., Rossi, A. F., & Desimone, R. (2005). Parallel and serial neural mechanisms for visual search in macaque area V4. Science, 308, 529–534.\nEimer, M. (1996). The N2pc component as an indicator of attentional selectivity. Electroencephalography and Clinical Neurophysiology, 99, 225–234.\nEimer, M., & Kiss, M. (2008). Involuntary attentional capture is determined by task set: Evidence from event-related brain potentials. Journal of Cognitive Neuroscience, 20, 1423–1433.\nEimer, M., & Kiss, M. (2010a). Top-down search strategies determine attentional capture in visual search: Behavioral and electrophysiological evidence. Attention. Perception, & Psychophysics, 72, 951–962.\nEimer, M., & Kiss, M. (2010b). The top-down control of visual selection and how it is linked to the N2pc component – A reply to Theeuwes (2010). Acta Psychologica, 135, 100–102.\nEimer, M., Kiss, M., Press, C., & Sauter, D. (2009). The roles of feature-specific task set and bottom-up salience in attentional capture: An ERP study. Journal of Experimental Psychology: Human Perception and Performance, 35, 1316–1328.\nFolk, C. L., & Remington, R. W. (1998). Selectivity in distraction by irrelevant featural singletons: Evidence for two forms of attentional capture. Journal of Experimental Psychology: Human Perception and Performance, 24, 847–858.\nFolk, C. L., Remington, R. W., & Johnston, J. C. (1992). Involuntary covert orienting is contingent on attentional control settings. Journal of Experimental Psychology: Human Perception and Performance, 18, 1030–1044.\nFolk, C. L., Remington, R. W., & Wright, J. H. (1994). The structure of attentional control: Contingent attentional capture by apparent motion, abrupt onset, and color. Journal of Experimental Psychology: Human Perception and Performance, 20, 317–329.\nHickey, C., McDonald, J. J., & Theeuwes, J. (2006). Electrophysiological evidence of the capture of visual attention. Journal of Cognitive Neuroscience, 18, 604–613.\nItti, L., & Koch, C. (2001). Computational modelling of visual attention. Nature Reviews. Neuroscience, 2, 4–11.\nJolicœur, P., Sessa, P., Dell’Acqua, R., & Robitaille, N. (2006). Attentional control and capture in the attentional blink paradigm: Evidence from human electrophysiology. European Journal of Cognitive Psychology, 18, 560–578.\nKiss, M., Jolicœur, P., Dell'Acqua, R., & Eimer, M. (2008). Attentional capture by visual singletons is mediated by top-down task set: New evidence from the N2pc component. Psychophysiology, 45, 1013–1024.\nLien, M.-C., Ruthruff, E., Goodin, Z., & Remington, R. W. (2008). Contingent attentional capture by top-down control settings: Converging evidence from event-related brain potentials. Journal of Experimental Psychology: Human Perception and Performance, 34, 509–530.\nLuck, S. J., & Hillyard, S. A. (1994). Spatial filtering during visual search: Evidence from human electrophysiology. Journal of Experimental Psychology: Human Perception and Performance, 20, 1000–1014.\nMazza, V., Turatto, M., Umiltà, C., & Eimer, M. (2007). Attentional selection and identification of visual objects are reflected by distinct electrophysiological responses. Experimental Brain Research, 181, 531–536.\nTheeuwes, J. (1992). Perceptual selectivity for color and form. Perception & Psychophysics, 51, 599–606.\nTheeuwes, J. (2010). Top-down and bottom-up control of visual selection. Acta Psychologica.\nTheeuwes, J., Atchley, P., & Kramer, A. F. (2000). On the time course of top-down and bottom-up control of visual attention. In S. Monsell & J. Driver (Eds.), Attention and performance XVIII (pp. 105–125). Cambridge: MIT Press.\nWykowska, A., & Schubö, A. (in press). Irrelevant singletons in visual search do not capture attention but can produce non-spatial filtering costs. Journal of Cognitive Neuroscience.",{"EN":493},"Salient visual singleton stimuli produce spatial cueing effects indicative of attentional capture only when they match current task sets, suggesting that capture is subject to top-down control. However, such task-set contingent capture effects could be associated with the top-down controlled disengagement of attention from non-matching stimuli that follows their initial bottom-up salience-driven selection. 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Sociological Methodology, 25, 111–163.\nSörös, P., Knecht, S., Imai, T., Gürtler, S., Lütkenhöner, B., Ringelstein, E. B., & Henningsen, H. (1999). Cortical asymmetries of the human somatosensory hand representation in right-and left-handers. Neuroscience letters, 271(2), 89–92.\nStefanucci, J. K., & Geuss, M. N. (2009). Big people, little world: The body influences size perception. Perception, 38(12), 1782–1795.\nTaylor-Covill, G. A., & Eves, F. F. (2016). Carrying a biological “backpack”: Quasi-experimental effects of weight status and body fat change on perceived steepness. Journal of Experimental Psychology: Human Perception and Performance, 42(3), 331–338.\nWalker, P. (2012). Cross-sensory correspondences and cross talk between dimensions of connotative meaning: Visual angularity is hard, high-pitched, and bright. Attention, Perception & Psychophysics, 74(8), 1792–1809.\nWalker, P., Scallon, G., & Francis, B. (2016). Cross-sensory correspondences: Heaviness is dark and low-pitched. Perception. doi:10.1177\u002F0301006616684369\nWarren, W. H. (1984). Perceiving affordances: Visual guidance of stair climbing. Journal of Experimental Psychology: Human Perception and Performance, 10(5), 683–703.\nWitt, J. K. (2011). Action’s effect on perception. Current Directions in Psychological Science, 20(3), 201–206.\nWitt, J. K. (2016). Action potential influences spatial perception: Evidence for genuine top-down effects on perception. Psychonomic Bulletin & Review, 1–23. doi:10.3758\u002Fs13423-016-1184-5\nWitt, J. K., & Dorsch, T. E. (2009). Kicking to bigger uprights: Field goal kicking performance influences perceived size. Perception, 38(9), 1328–1340.\nWitt, J. K., Proffitt, D. R., & Epstein, W. (2005). Tool use affects perceived distance, but only when you intend to use it. Journal of Experimental Psychology: Human Perception and Performance, 31(5), 880–888.\nWitt, J. K., & Sugovic, M. (2013). Response bias cannot explain action-specific effects: Evidence from compliant and non-compliant participants. Perception, 42(2), 138–152.\nWoods, A. J., Philbeck, J. W., & Danoff, J. V. (2009). The various perceptions of distance: An alternative view of how effort affects distance judgments. Journal of Experimental Psychology: Human Perception and Performance, 35(4), 1104–1117.\nZelaznik, H. N., & Forney, L. A. (2016). Action-specific judgment, not perception: Fitts’ law performance is related to estimates of target width only when participants are given a performance score. Attention, Perception & Psychophysics, 78(6), 1744–1754. doi:10.3758\u002Fs13414-016-1132-5",{"EN":1004},"Linkenauger, Witt, and Proffitt (Journal of Experimental Psychology: Human Perception and Performance, 37(5), 1432–1441, 2011, Experiment 2) reported that right-handers estimated objects as smaller if they intended to grasp them in their right rather than their left hand. Based on the action-specific account, they argued that this scaling effect occurred because participants believed their right hand could grasp larger objects. However, Collier and Lawson (Journal of Experimental Psychology: Human Perception and Performance, 43(4), 749–769, 2017) failed to replicate this effect. Here, we investigated whether this discrepancy in results arose from demand characteristics. We investigated two forms of demand characteristics: altering responses following conscious hypothesis guessing (Experiments 1 and 2), and subtle influences of the experimental context (Experiment 3). We found no scaling effects when participants were given instructions which implied the expected outcome of the experiment (Experiment 1), but they were obtained when we used unrealistically explicit instructions which gave the exact prediction made by the action-specific account (Experiment 2). Scaling effects were also found using a context in which grasping capacity could seem relevant for size estimation (by asking participants about the perceived graspability of an object immediately before asking about its size on every trial, as was done in Linkenauger et al., 2011; Experiment 2). These results suggest that demand characteristics due to context effects could explain the scaling effects reported in Experiment 2 of Linkenauger et al. (2011), rather than either hypothesis guessing, or, as proposed by the action-specific account, a change in the perceived size of objects.",{"EN":1006},"Does grasping capacity influence object size estimates? It depends on the context",{"VOID":1008},"10.3758\u002Fs13414-017-1344-3","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.3758\u002Fs13414-017-1344-3",[1011,1026],{"id":1012,"sortIndex":331,"researcher":18,"roles":1013,"affiliations":1014,"properties":1023},"fc9a7a78-9b29-459f-aae7-871edd98a6bd",[223],[1015],{"id":18,"sortIndex":19,"affiliation":1016,"properties":18},{"id":1017,"createTime":1018,"updateTime":1018,"relativeEntities":1019,"slug":18,"properties":1020,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"1e42a75f-406e-42eb-b29b-0d0e1a69e95a","2024-01-16T18:46:31.832+00:00",[],{"title":1021},{"VI":1022},"Department of Experimental Psychology, University of Liverpool, Liverpool, UK",{"title":1024},{"VI":1025},"Rebecca Lawson",{"id":1027,"sortIndex":19,"researcher":18,"roles":1028,"affiliations":1029,"properties":1035},"e32ad018-3a77-4470-973f-f6ae80403eb7",[223],[1030],{"id":18,"sortIndex":19,"affiliation":1031,"properties":18},{"id":1017,"createTime":1018,"updateTime":1018,"relativeEntities":1032,"slug":18,"properties":1033,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1034},{"VI":1022},{"title":1036},{"VI":1037},"Elizabeth S. Collier",{"url":1009,"publisher":1039,"properties":1073},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1040,"slug":10,"properties":1041,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1044,"manageAffiliations":1045,"indexDatabases":1046,"url":18,"thumbnailPath":18,"statistic":1068,"gsStatistic":18,"type":195,"analyzePriority":18},[],{"issn":1042,"title":1043},{"VOID":13},{"VOID":15},[],[],[1047,1054,1061],{"id":70,"indexDatabase":1048,"url":83,"indexYears":84,"academicFieldIds":1053,"indexDatabaseRanking":89},{"id":72,"createTime":73,"updateTime":74,"relativeEntities":1049,"label":1050,"description":1051,"key":80,"publicationTags":1052,"standard":18},[],{"EN":77,"VI":77},{"EN":77,"VI":79},[82],[86,87,88],{"id":110,"indexDatabase":1055,"url":106,"indexYears":18,"academicFieldIds":1060,"indexDatabaseRanking":18},{"id":112,"createTime":113,"updateTime":114,"relativeEntities":1056,"label":1057,"description":1058,"key":121,"publicationTags":1059,"standard":18},[],{"EN":117,"VI":117},{"VI":119,"EN":120},[123,105],[125],{"id":91,"indexDatabase":1062,"url":106,"indexYears":18,"academicFieldIds":1067,"indexDatabaseRanking":18},{"id":93,"createTime":94,"updateTime":95,"relativeEntities":1063,"label":1064,"description":1065,"key":102,"publicationTags":1066,"standard":18},[],{"EN":98,"VI":98},{"VI":100,"EN":101},[104,105],[108],{"impactFactor":19,"impactFactorByYear":1069,"i10Index":138,"i10IndexLast5Year":139,"totalPublication":140,"totalPublicationByYear":1070,"totalCitation":158,"totalCitationByYear":1071,"totalCitationPerPublication":176,"totalCitationPerPublicationByYear":1072,"hindexLast5Year":194,"hindex":194},{"2012":128,"2013":129,"2014":130,"2015":131,"2016":132,"2017":133,"2018":128,"2019":134,"2020":135,"2021":136,"2022":132,"2023":137},{"2009":142,"2010":143,"2011":144,"2012":145,"2013":146,"2014":147,"2015":148,"2016":149,"2017":150,"2018":151,"2019":152,"2020":153,"2021":154,"2022":155,"2023":156,"2024":157},{"2009":160,"2010":161,"2011":162,"2012":163,"2013":164,"2014":165,"2015":166,"2016":167,"2017":168,"2018":169,"2019":170,"2020":171,"2021":172,"2022":173,"2023":174,"2024":175},{"2009":178,"2010":179,"2011":180,"2012":181,"2013":182,"2014":183,"2015":184,"2016":185,"2017":186,"2018":187,"2019":188,"2020":189,"2021":190,"2022":191,"2023":192,"2024":193},{"volume":1074,"pages":1075},{"VOID":379},{"VOID":1076},"2117-2131","2017-06-21",{"id":1079,"createTime":1080,"updateTime":1081,"relativeEntities":1082,"slug":1083,"properties":1084,"entityType":215,"verifyStatus":216,"verifyTime":1081,"verifyNote":217,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1093,"fullTextUrl":18,"authors":1094,"publicationType":238,"publisherRelationship":1267,"citationCount":18,"citationInfo":18,"publishDate":1306,"publishYear":1307,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":281},"b36e6be5-9693-46c2-b08d-202b7ce80c85","2023-12-29T13:17:07.704+00:00","2025-02-18T23:58:13.292+00:00",[],"Spatial-attention-and-conscious-perception-the-role-of-endogenous-and-exogenous-orienting",{"references":1085,"abstract":1087,"title":1089,"doi":1091},{"VOID":1086},"Bartolomeo, P. (2007). Visual neglect. Current Opinion in Neurology, 20, 381–386.\nBartolomeo, P. (2008). Varieties of attention and of consciousness: Evidence from neuropsychology. Psyche, 14(1)\nBartolomeo, P., & Dalla Barba, G. (2002). Varieties of consciousness (commentary on Perruchet and Vinter: The self-organizing consciousness). The Behavioral and Brain Sciences, 25, 331–332.\nBartolomeo, P., Thiebaut de Schotten, M., & Doricchi, F. (2007). Left unilateral neglect as a disconnection syndrome. Cerebral Cortex, 17, 2479–2490.\nBerger, A., Henik, A., & Rafal, R. (2005). Competition between endogenous and exogenous orienting of visual attention. Journal of Experimental Psychology: General, 134, 207–221.\nBotta, F., Santangelo, V., Raffone, A., Lupiáñez, J., & Belardinelli, M. O. (2010). Exogenous and endogenous spatial attention effects on visuospatial working memory. The Quarterly Journal of Experimental Psychology, 63, 1–13.\nBuschman, T. J., & Miller, E. K. (2007). Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science, 315, 1860–1862.\nChica, A. B., Bartolomeo, P., & Valero-Cabré, A. (2011). Dorsal and ventral parietal contributions to spatial orienting in the human brain. Journal of Neuroscience.\nChica, A. B., Charras, P., & Lupiáñez, J. (2008). Endogenous attention and illusory line motion depend on task set. Vision Research, 48, 2251–2259.\nChica, A. B., Lasaponara, S., Lupiáñez, J., Doricchi, F., & Bartolomeo, P. (2010). Exogenous attention can capture perceptual consciousness: ERP and behavioural evidence. Neuroimage, 51, 1205–1212.\nChica, A. B., Lupiáñez, J., & Bartolomeo, P. (2006). Dissociating inhibition of return from the endogenous orienting of spatial attention: Evidence from detection and discrimination tasks. Cognitive Neuropsychology, 23, 1015–1034.\nChristie, J., & Klein, R. M. (2005). Does attention cause illusory line motion? Perception & Psychophysics, 67, 1032–1043.\nChun, M. M., & Marois, R. (2002). The dark side of visual attention. Current Opinion in Neurobiology, 12, 184–189.\nCorbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews. Neuroscience, 3, 201–215.\nCorrea, A., Lupiáñez, J., & Tudela, P. (2005). Attentional preparation based on temporal expectancy modulates processing at the perceptual level. Psychonomic Bulletin & Review, 12, 328–334.\nDehaene, S., Changeux, J. P., Naccache, L., Sackur, J., & Sergent, C. (2006). Conscious, preconscious, and subliminal processing: A testable taxonomy. Trends in Cognitive Sciences, 10, 204–211.\nDehaene, S., & Naccache, L. (2001). Towards a cognitive neuroscience of consciousness: Basic evidence and a workspace framework. Cognition, 79, 1–37.\nDoricchi, F., Macci, E., Silvetti, M., & Macaluso, E. (2010). Neural correlates of the spatial and expectancy components of endogenous and stimulus-driven orienting of attention in the posner task. Cerebral Cortex, 20, 1574–1585.\nFahrenfort, J. J., Scholte, H. S., & Lamme, V. A. (2007). Masking disrupts reentrant processing in human visual cortex. Journal of Cognitive Neuroscience, 19, 1488–1497.\nFahrenfort, J. J., Scholte, H. S., & Lamme, V. A. (2008). The spatiotemporal profile of cortical processing leading up to visual perception. Journal of Vision, 8(1, Art. 12), 11–12.\nFunes, M. J., Lupiáñez, J., & Milliken, B. (2007). Separate mechanisms recruited by exogenous and endogenous spatial cues: Evidence from a spatial stroop paradigm. Journal of Experimental Psychology: Human Perception and Performance, 33, 348–362.\nHopfinger, J. B., Buonocore, M. H., & Mangun, G. R. (2000). The neural mechanisms of top-down attentional control. Nature Neuroscience, 3, 284–291.\nJames, W. (1890). The principles of psychology. New York: Holt.\nKentridge, R. W., Heywood, C. A., & Weiskrantz, L. (1999). Attention without awareness in blindsight. Proceedings of rhe Royal Society of London, 266, 1805–1811.\nKentridge, R. W., Heywood, C. A., & Weiskrantz, L. (2004). Spatial attention speeds discrimination without awareness in blindsight. Neuropsychologia, 42, 831–835.\nKentridge, R. W., Nijboer, T. C., & Heywood, C. A. (2008). Attended but unseen: Visual attention is not sufficient for visual awareness. Neuropsychologia, 46, 864–869.\nKlein, R. M. (2004). On the control of visual orienting. In M. I. Posner (Ed.), Cognitive neuroscience of attention (pp. 29–44). New York: Guilford.\nKoch, C., & Tsuchiya, N. (2007). Attention and consciousness: Two distinct brain processes. Trends in Cognitive Sciences, 11, 16–22.\nKusnir, F., Chica, A. B., Mitsumasu, M. A., & Bartolomeo, P. (2011). Phasic auditory alerting improves visual conscious perception. Consciousness and Cognition.\nLamme, V. A. (2003). Why visual attention and awareness are different. 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Journal of Experimental Psychology: General, 117, 34–50.\nSnodgrass, M., Kalaida, N., & Winer, E. S. (2009). Access is mainly a second-order process: SDT models whether phenomenally (first-order) conscious states are accessed by reflectively (second-order) conscious processes. Consciousness & Cognition, 18, 561–564. discussion 565–567.\nTipples, J. (2002). Eye gaze is not unique: Automatic orienting in response to uninformative arrows. Psychonomic Bulletin & Review, 9, 314–318.\nWilimzig, C., Tsuchiya, N., Fahle, M., Einhauser, W., & Koch, C. (2008). Spatial attention increases performance but not subjective confidence in a discrimination task. Journal of Vision, 8(5, Art. 7), 1–10.\nWoodman, G. F., & Luck, S. J. (2003). Dissociations among attention, perception, and awareness during object-substitution masking. Psychological Science, 14, 605–611.\nWyart, V., & Tallon-Baudry, C. (2008). Neural dissociation between visual awareness and spatial attention. The Journal of Neuroscience, 28, 2667–2679.",{"EN":1088},"Attention has often been considered to be a gateway to consciousness (Posner, Proceedings of the National Academy of Sciences of the United States of America, 91(16), 7398–7403, 1994). However, its relationship with conscious perception (CP) remains highly controversial. While theoretical models and experimental data support the role of attention in CP (Chica, Lasaponara, Lupiáñez, Doricchi, & Bartolomeo, NeuroImage, 51, 1205–1212, 2010; Dehaene, Changeux, Naccache, Sackur, & Sergent, Trends in Cognitive Sciences, 10, 204–211, 2006; Mack & Rock, Inattentional blindness,\n                        1998), recent studies have claimed that at least some forms of attention—endogenous or top-down spatial attention—are neither sufficient nor necessary for CP (Koch & Tsuchiya, Trends in Cognitive Sciences, 11, 16–22, 2007). In the present experiments, we demonstrate the importance of exogenously triggered attention for the modulation of CP. Weak or null effects were instead observed when attention was triggered endogenously. Our data are discussed in the framework of recent neuropsychological models (Dehaene et al., Trends in Cognitive Sciences, 10, 204–211, 2006), postulating that activity within reverberating frontoparietal networks, as colocalized with spatial--orienting systems, is the brain correlate of consciously processed information.",{"EN":1090},"Spatial attention and conscious perception: the role of endogenous and exogenous orienting",{"VOID":1092},"10.3758\u002Fs13414-010-0082-6","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.3758\u002Fs13414-010-0082-6",[1095,1123,1148,1160,1179,1195,1228],{"id":1096,"sortIndex":1097,"researcher":18,"roles":1098,"affiliations":1099,"properties":1120},"375d7f89-bc7c-4da0-9f60-89b116dd33bd",4,[223],[1100,1108],{"id":18,"sortIndex":19,"affiliation":1101,"properties":18},{"id":1102,"createTime":1103,"updateTime":1103,"relativeEntities":1104,"slug":18,"properties":1105,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"b589861d-1d14-4b1d-9945-33c28bad4298","2024-02-07T18:10:06.078+00:00",[],{"title":1106},{"VI":1107},"Department of Psychology, University of La Sapienza, Roma, Italy",{"id":1109,"sortIndex":331,"affiliation":1110,"properties":1119},"4bf05d75-a258-4b84-a7ad-4ba25215c20d",{"id":1111,"createTime":1112,"updateTime":1113,"relativeEntities":1114,"slug":1115,"properties":1116,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"95c58826-a5b8-41ba-aa7c-272f7117d1a5","2023-12-11T08:42:02.536+00:00","2024-10-01T01:43:46.514+00:00",[],"Fondazione-Santa-Lucia-Rome-Italy",{"title":1117},{"VI":1118},"Fondazione Santa Lucia, Rome, Italy",{},{"title":1121},{"VI":1122},"Fabrizio Doricchi",{"id":1124,"sortIndex":318,"researcher":18,"roles":1125,"affiliations":1126,"properties":1145},"41a11b5e-c7f7-4aa7-95ac-2d441d256a44",[223],[1127,1135],{"id":18,"sortIndex":19,"affiliation":1128,"properties":18},{"id":1129,"createTime":1130,"updateTime":1130,"relativeEntities":1131,"slug":18,"properties":1132,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"94fca5a5-0154-49fa-b048-0f02246d0a23","2023-12-29T13:17:07.730+00:00",[],{"title":1133},{"VI":1134},"INSERM-UPMC UMR-S 975, Paris, France",{"id":1136,"sortIndex":331,"affiliation":1137,"properties":1144},"1eadd93d-f8d7-4fc8-bc52-983179f2c713",{"id":1138,"createTime":1139,"updateTime":1139,"relativeEntities":1140,"slug":18,"properties":1141,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"319088a5-1186-4906-bb58-a8a7dfc45ace","2023-12-29T13:17:07.770+00:00",[],{"title":1142},{"VI":1143},"École des Neurosciences de Paris, Paris, France",{},{"title":1146},{"VI":1147},"Lorena Chanes",{"id":1149,"sortIndex":19,"researcher":18,"roles":1150,"affiliations":1151,"properties":1157},"458e89c0-6a69-4596-9448-9686658be269",[223],[1152],{"id":18,"sortIndex":19,"affiliation":1153,"properties":18},{"id":1129,"createTime":1130,"updateTime":1130,"relativeEntities":1154,"slug":18,"properties":1155,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1156},{"VI":1134},{"title":1158},{"VI":1159},"Ana B. 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M. K., & Tse, P. U. (2000). The role of surface attraction in perceiving volumetric shape. Perception, 29, 409–420.\nAnderson, B. L. (2007a). The demise of the identity hypothesis and the insufficiency and nonnecessity of contour relatability in predicting object interpolation: Comment on Kellman, Garrigan, and Shipley (2005). Psychological Review, 114, 470–487. doi:10.1037\u002F0033-295X.114.2.470\nAnderson, B. L. (2007b). Filling-in models of completion: Rejoinder to Kellman, Garrigan, Shipley, and Keane (2007) and Albert (2007). Psychological Review, 114, 509–525. doi:10.1037\u002F0033-295X.114.2.509\nAnderson, B. L. (2007c). Postscript: Filling-in models of completion. Psychological Review, 114, 525–527. doi:10.1037\u002F0033-295X.114.2.525\nAnderson, B. L., Singh, M., & Fleming, R. W. (2002). The interpolation of object and surface structure. Cognitive Psychology, 44, 148–190.\nIverson, G., & Falmagne, J. C. (1985). Statistical issues in measurement. Mathematical Social Sciences, 10, 131–153.\nKellman, P. J., Garrigan, P., & Shipley, T. F. (2005). Object interpolation in three dimensions. Psychological Review, 112, 586–609. doi:10.1037\u002F0033-295X.112.3.586\nKellman, P. J., Garrigan, P., Shipley, T. F., & Keane, B. P. (2007a). Interpolation processes in object perception: Reply to Anderson (2007). Psychological Review, 114, 488–502. doi:10.1037\u002F0033-295X.114.2.488\nKellman, P. J., Garrigan, P., Shipley, T. F., & Keane, B. P. (2007b). Postscript: Identity and constraints in models of object formation. Psychological Review, 114, 502–508. doi:10.1037\u002F0033-295X.114.2.502\nKellman, P. J., & Shipley, T. F. (1991). A theory of visual interpolation in object perception. Cognitive Psychology, 23, 141–221.\nRock, I., Nijhawan, R., Palmer, S., & Tudor, L. (1992). Grouping based on phenomenal similarity of achromatic color. Perception, 21, 779–789.\nShimojo, S., & Nakayama, K. (1990). Amodal presence of partially occluded surfaces: Role of invisible stimuli in apparent motion correspondence. Perception, 19, 285–299.\nShipley, T. F., & Kellman, P. J. (1992). Perception of partly occluded objects and illusory figures: Evidence for an identity hypothesis. Journal of Experimental Psychology: Human Perception and Performance, 18, 106–120.\nSu, Y., He, Z. J., & Ooi, T. L. (2010). Surface completion affected by luminance contrast polarity and common motion. Journal of Vision, 10(3), 5.1–14. doi:10.1167\u002F10.3.5\nTse, P. U. (1999a). Complete mergeability and amodal completion. Acta Psychologica, 102, 165–201.\nTse, P. U. (1999b). Volume completion. Cognitive Psychology, 39, 37–68.\nTversky, A. (1969). Intransitivity of preferences. Psychological Review, 76, 31–48. doi:10.1037\u002Fh0026750\nYin, C., Kellman, P. J., & Shipley, T. F. (1997). Surface completion complements boundary interpolation in the visual integration of partly occluded objects. Perception, 26, 1459–1479.\nYin, C., Kellman, P. J., & Shipley, T. F. (2000). Surface integration influences depth discrimination. Vision Research, 40, 1969–1978.",{"EN":1318},"The strength of amodal completion is known to be modulated by contour relationships and global shape. Some researchers have shown that amodal completion also depends on surface similarity, but they have not distinguished the relative importance of similarity in surface representations either pre or post lightness constancy. In the experiments reported here, we aimed to determine whether amodal completion depends on processes that occur either before or after the establishment of lightness constancy. We used computer rendering techniques to vary the consistency of a cast shadow with a decrement in luminance on one side of a partially occluded surface. We found that perceived completion depended on the consistency of the decrement in surface luminance with the orientation of a cast shadow (Exp. 1). In Experiment  2, we generated occluded surface fragments that could be either luminance-matched or lightness-matched to surface fragments on the opposite side of the occluder, and we found that the strength of amodal completion depended primarily on similarity in the perceived surface reflectance. In Experiments 3 and 4, we performed apparent-motion tasks to obtain converging evidence for grouping on the basis of perceived similarity in lightness. We found that matching surfaces in lightness significantly improved the apparent motion of surfaces behind an occluder, as compared with surfaces that were matched in contrast alone. 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(2005). Variations in backward masking with different masking stimuli: II. The effects of spatially quantised masks in the light of local contour interaction, interchannel inhibition, perceptual retouch, and substitution theories. Perception, 34, 139–154.\nBacon-Mace, N., Mace, M. J., Fabre-Thorpe, M., & Thorpe, S. J. (2005). The time course of visual processing: Backward masking and natural scene categorisation. Vision Research, 45, 1459–1469.\nBoyce, S., & Pollatsek, A. (1992). An exploration of the effects of scene context on object identification. In K. Rayner (Ed.), Eye movements and visual cognition (pp. 227–242). New York: Springer.\nBrewer, W. F., & Treyens, J. C. (1981). Role of schemata in memory for places. Cognitive Psychology, 13, 1207–1230.\nBurton, G. J., & Moorehead, I. R. (1987). Color and spatial structure in natural scenes. Applied Optics, 26, 157–170.\nCarter, B. E., & Henning, G. B. (1971). The detection of gratings in narrow-band visual noise. 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Modelling the power spectra of natural images: Statistics and information. Vision Research, 36, 2759–2770.\nWang, Z., & Simoncelli, E. P. (2004). Local phase coherence and the perception of blur. In S. Thrun, L. Saul, & B. Schölkopf (Eds.), Advances in Neural Information Processing Systems (pp. 786–792). Cambridge, MA: MIT Press.\nWilson, H. R., McFarlane, D. K., & Phillips, G. C. (1983). Spatial frequency tuning of orientation selective units estimated by oblique masking. Vision Research, 23, 873–882.",{"EN":1418},"In the present article, we investigated whether higher order image statistics, which are known to be carried by the Fourier phase spectrum, are sufficient to affect scene gist recognition. In Experiment 1, we compared the scene gist masking strength of four masking image types that varied in their degrees of second- and higher order relationships: normal scene images, scene textures, phase-randomized scene images, and white noise. Masking effects were the largest for masking images that possessed significant higher order image statistics (scene images and scene textures) as compared with masking images that did not (phase-randomized scenes and white noise), with scene image masks yielding the largest masking effects. In a control study, we eliminated all differences in the second-order statistics of the masks, while maintaining differences in their higher order statistics by comparing masking by scene textures rather than by their phase-randomized versions, and showed that the former produced significantly stronger gist masking. Experiments 2 and 3 were designed to test whether conceptual masking could account for the differences in the strength of the scene texture and phase-randomized masks used in Experiment 1, and revealed that the recognizability of scene texture masks explained just 1% of their masking variance. Together, the results suggest that (1) masks containing the higher order statistical structure of scenes are more effective at masking scene gist processing than are masks lacking such structure, and (2) much of the disruption of scene gist recognition that one might be tempted to attribute to conceptual masking is due to spatial masking.",{"EN":1420},"The role of higher order image statistics in masking scene gist recognition",{"VOID":1422},"10.3758\u002FAPP.72.2.427","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.3758\u002FAPP.72.2.427",[1425,1440,1457,1469],{"id":1426,"sortIndex":517,"researcher":18,"roles":1427,"affiliations":1428,"properties":1437},"e2937277-f12d-46c5-a76f-ab46cb31d340",[223],[1429],{"id":18,"sortIndex":19,"affiliation":1430,"properties":18},{"id":1431,"createTime":1432,"updateTime":1432,"relativeEntities":1433,"slug":18,"properties":1434,"entityType":55,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"2537d19d-0005-4756-af9e-6203b0f8b169","2024-02-11T13:26:09.456+00:00",[],{"title":1435},{"VI":1436},"Department of Psychology, Kansas State University, Manhattan",{"title":1438},{"VI":1439},"Tejaswi N. 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