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PubMed2006

The relation between children's conceptual functioning with color and color term acquisition.

Young children experience considerable difficulty in learning their first few color terms. One explanation for this difficulty is that initially they lack a conceptual representation of color sufficiently abstract to support word meaning. This hypothesis, that prior to learning color terms children do not represent color as an abstraction, was tested in two experiments using samples of 25- to 39-month-olds and 20- to 32-month-olds. Children's ability to conceptually represent color and their knowledge of color terms were assessed, and a strong association was found between the ability to make inferences based on color and the comprehension of color words. Children who did not comprehend color terms were unsuccessful at a conceptual task that required them to represent color as a property independent of the particular objects that displayed it. The results suggest that the initial absence of an abstract representation of color contributes to the difficulty that young children encounter when first learning color words.

Association Learning↗

PubMed1990

Limitations on the parallel guidance of visual search: color x color and orientation x orientation conjunctions.

In visual search for a conjunction it is much more difficult to search for the conjunction of 2 colors or 2 orientations than for Color x Orientation or Color x Shape conjunctions. The result is not limited to particular colors or shapes. Two colors cannot occupy the same spatial location in Color x Color searches. However, Experiments 6 and 7 show that Color x Shape searches remain efficient even if the color and shape are spatially separated. Our guided search model suggests that in searches for Color x Shape, a parallel color module can guide attention toward the correct color, whereas the shape module guides attention toward the correct shape. Together these 2 sources of guidance lead attention to the target. However, if a target is red and green among red-blue and green-blue distractors, it is not possible to guide search independently toward red items and green items or away from all blue items.

Adult↗

PubMed2006

[Chromatic study of all-ceramic restorations--influence of abutment tooth color on color tone of copings].

PURPOSE: Recently, the use of all-ceramic crowns has spread widely in clinical applications to meet the demand for both functional and esthetically-pleasing restorations. In making all-ceramic crowns, it is necessary to reproduce the shape and color near to those of the natural teeth. However, the color shades of abutments might influence the color of the copings which are made of material with high transparency. This study examined the influence of the color shades of the abutments on the final color of copings for three kinds of all-ceramic core materials: Empress, Empress 2 (IVOCLAR VIVADENT), and Procera AllCeram (Nobel Biocare). METHODS: Copings with 0.5 mm in thickness were fabricated by using Empress (TC1), Empress 2 (100), and Procera AllCeram (white) core materials for an upper-right central incisor. Abutments were made by using six kinds of die materials of the Empress system (ST1, ST2, ST3, ST5, ST8, ST9), gold-silver-palladium alloy, gold alloy, and experimental black body. Copings were inserted in each abutment and the final color of the central part of the buccal surface was measured using a spectrophotometer according to the L*a*b* color system. RESULTS: Regardless of the color shades of the abutments, the chroma values of the copings rose in the order of Empress, Empress 2, and Procera, and the values of lightness rose in the order of Empress, Procera, and Empress 2. When the final color of each coping measured under the wet and dry conditions were compared, the difference in chroma was great. CONCLUSIONS: Within the limitations of this study, the results suggest that the influence of the color shades of the abutments on the final color of the three kinds of copings is small in the order of Empress, Procera, and Empress 2. In clinical and dental laboratory operations, it is hoped to observe and measure the color of copings and restorations under the wet condition.

Ceramics↗

PubMed2006

Using spectral data to reconstruct evolutionary changes in coloration: carotenoid color evolution in New World orioles.

Carotenoid-based colors are thought to play an important signaling role in many animal taxa. However, little is known about evolutionary changes in carotenoid coloration, especially among closely related species. We used a phylogenetic perspective to examine carotenoid color changes within New World orioles (genus Icterus). Oriole color was quantitatively measured using reflectance spectrometry. We found continuous variation from short- to long-wavelength carotenoid colors in extant orioles--perceived by humans as ranging from yellow to scarlet--suggesting that these carotenoid-based colors have evolved as a continuous character. Ancestral state reconstruction suggests that short- and long-wavelength carotenoid colors have evolved independently multiple times, likely from a middle-wavelength ancestor. Although color showed considerable lability, we found a significant amount of phylogenetic signal across the entire genus. This implies that while labile, the colors of closely related taxa tended to resemble each other more than would be expected due to chance. To our knowledge, this is the first study to use quantitative character states derived from reflectance spectra in ancestral state reconstruction. Reflectance spectra provide an unbiased quantitative description of color that allowed us to detect subtle changes among closely related taxa. Using these quantitative methods to score and reconstruct color changes among closely related taxa provides a better understanding of how elaborate animal colors evolve.

Animals↗

PubMed1994

Young children's concept of color and its relation to the acquisition of color words.

Many children experience great difficulty in learning their first color word. In contrast, once children have learned 1 color word, they learn additional color words more easily. This striking fact rises the question of whether children who do not know color words have conceptual color categories capable of supporting inferences about word meaning. In 3 experiments 2-year-olds were provided with tasks that required them to base inferences on color or to map things onto color. Half the children comprehended at least 1 color word, and the remaining children comprehended none. In all experiments, the children in both groups succeeded on the color tasks. It was argued that children who do not know color words have the conceptual foundation necessary to base inferences on color but have specific constraints against basing inferences about word meaning on color.

Child Development↗

PubMed2007

[Validity of a web-based color vision test for screening examinations of color vision].

BACKGROUND: With standardized examination conditions, a web-based color vision test using pseudoisochromatic color plates can deliver test results comparable to those yielded by conventional color vision tests. The aim of the study is to analyze to what extent a web-based color vision test can be used as a screening test on the internet after visual monitor calibration. METHODS: A German-language web-based color vision test with 25 pseudoisochromatic color plates based on the color plates of Velhagen and Broschmann and of Ishihara was developed, which can be seen at http://www.farbsehtest.de. Volunteers were recruited by means of specific information distributed on the internet, in various print media, and on the radio. RESULTS: Over a period of 12 months, 2,126 of the initial volunteers [541 women and 1,588 men; mean age 34.27 (+/-14.1) years] with a valid test result for 25 color plates performed the web-based color vision test, 1,700 (506 women and 1,194 men) of whom passed it. Of the 426 volunteers who did not pass the test, 32 were women and 394, men. Counter-testing was performed on 101 volunteers (34 women and 67 men) with a mean age of 36.74 (+/-11.6) years. CONCLUSIONS: The results recorded in the patients who underwent counter-testing suggest that, if handled correctly, the web-based color vision test can be used as a color vision screening test on the internet.

Adolescent↗

PubMed2005

Reproducibility of tooth color gradation using a computer color-matching technique applied to ceramic restorations.

STATEMENT OF PROBLEM: To reproduce tooth color precisely, an objective methodology based on color science is required. However, perception-based techniques are still the primary method for color matching in restorative dentistry. PURPOSE: This study evaluated the accuracy of reproduction of color gradation for ceramic restorations using a Computer Color Matching (CCM) technique employing a prototype program and spectrophotometric data measurements. MATERIALS AND METHODS: The colors of 10 target-shade tabs of the Vitapan 3D Master shade guide were measured at 4 regions of crowns from the cervical to the incisal area using a spectrophotometer. Tooth-shaped CCM ceramic specimens (30 specimens; 3 specimens for each of 10 target-shade tabs), the same size and shape as target-shade tabs, were fabricated according to the CCM prescriptions calculated using a prototype CCM program. The colors of CCM ceramic specimens and target-shade tabs were compared in 10 incremental areas from gingival to incisal (each measuring 1 mm high x 3 mm wide). The color differences, Delta E, Delta L* , Delta a* , and Delta b* , were calculated. The color difference Delta E values were analyzed by a repeated measures analysis of variance (P <.0001). Three prosthodontists evaluated CCM specimens by perception techniques. RESULTS: The mean color difference (Delta E) values were clinically acceptable (below 3.6) for incremental areas 3 through 10 and unacceptable for areas 1 and 2 (gingival area). Highly significant differences in the mean of Delta E values among target-shade tabs (P <.0001), areas (P <.0001), and target-shade tab-by-area interaction effects (P <.0001) were noted. However, perceptional evaluation indicated "Definitive match" or "Approximate match" for all CCM specimens. CONCLUSION: The CCM technique tested in this study utilizing 4 measurements on target-shade tabs could reproduce tooth color gradation from incisal to precervical regions with clinically acceptable results.

Analysis of Variance↗

PubMed2005

[The heredity of flower colors and the discovery of flower color chimera in chrysanthemum species].

The reciprocal crosses of yellow colored chrysanthemum x red colored chrysanthemum and white colored chrysanthemum x red colored chrysanthemum were conducted in order to analyze the heredity of flower colors. The results revealed that the heredity of flower colors was very complicated, and mainly exhibited matroclinous characteristics when red colored materials was used as maternal parent but not in the combinations when the yellow or white colored materials were used as maternal parents. The incomplete dominance and mosaic dominance also existed in the heredity of chrysanthemum flower colors. The flower-color chimeras with two kinds of flower buds were discovered in the cross of 3501 x 3509, i.e. one side of the flower buds was completely in red color, which was same as the parental material of 3509, and another side was generally in yellow color with red spots on them. Cytological analysis showed that two sides were both with 36 chromosomes, indicating that the formation of chimera was not resulted from the changes of chromosome numbers, but from the destruction of pigment synthesis genes by the insert of transposable element.

Chimera↗

PubMed1977

The Davidson and Hemmendinger color rule as a color vision screening test.

The Davidson and Hemmendinger (DH) color rule was evaluated for color vision screening of normal and congenital color-defective subjects. Ninety-eight normal and 14 color-defective subjects were tested on the color rule under Macbeth illumination of 5,400 K. The color-defective subjects were also tested on the Nagel anomaloscope, the Farnsworth D-15, and the H-R-R pseudoisochromatic plates. The DH color rule performed as accurately as the anomaloscope and was superior to the other two tests in detecting anomalous trichromats and in discriminating protanomalous subjects. The color rule also discriminated dichromats from anomalous trichromats. For severe color-defective subjects (dichromats, achromats), the color rule was more time-consuming than the other tests and discrimination was less certain. Response patterns on the DH color rule and response variability of the different classifications are reported.

Adolescent↗

PubMed1980

[Mathematical description of the reaction of color sensitive neural networks to intensity and color steps (author's transl)].

The reaction of color sensitive neural networks to intensity and color steps on logarithmic transformation of the input signals is calculated mathematically. The networks consist of opponent-color cells respectively with (duple system 1) or without a surround (duple system 2) or of double opponent-color cells (quadruple system). The output signals are independent of the intensity level. Both duple systems are able to code the color of homogeneous areas on a dichromatic level. The hue corresponds to the sign, the saturation to the absolute value of the output signal. The coding of saturation becomes incorrect at intensity borders only with duple system 1 (due to a Mach band response) at color borders however with duple system 1 and 2 (due to low-pass properties). The quadruple system (like duple system 2) is insensitive to intensity differences. It only responds to color differences, which are transferred according to a band-pass filter. The system therefore is able to function as a detector of color borders. The results are used in a new model for the processing of color and color borders. A linear transformation has been found to be less suited for color coding.

Color↗

PubMed2001

Minimum color differences for discriminating mismatch between composite and tooth color.

PURPOSE: The purpose of this study was to determine if there are differences between patients and dental professionals in their ability to identify small color differences (deltaE) in composite resin restorative materials in vitro and to determine the deltaE that would indicate acceptability of color match between a restoration and an adjacent tooth. MATERIALS AND METHODS: Subjects were asked to evaluate composite resin disks to distinguish acceptability of deltaE between disk pairs. Color difference discrimination of dental professionals groups D1 (dentists, n = 12) and D2 (dental auxiliaries, n = 12) was compared to that of dental patient groups P1 (patients, n = 12) and P2 (scientists, n = 12). Each group was pretested for normal color vision. Color differences between a standard and restoration disks of composite were measured in Colour Measurement Committee (CMC) (1:1) color units. Data were analyzed by logistic regression, and results were used to calculate a probability level for minimal acceptance or rejection of AE for all observers. Mean 50:50 deltaE replacement points (RP) for each group were obtained and analyzed by analysis of variance, and the Tukey pairwise comparison test was applied (alpha = 0.05 for all statistical analyses). RESULTS: There were significant differences found between the experimental groups (p = .020). Group D2 (mean 50:50 deltaE RP = 1.78) proved to be more discriminating in accepting differences between tooth and composite resin restorative material color than group P1 (mean 50:50 deltaE RP = 2.69). The mean 50:50 deltaE RP for all subjects was 2.29 CMC (1:1) units. CLINICAL SIGNIFICANCE: The ability to generate an excellent color match between a tooth-colored restoration and the tooth is critical to esthetic success. This study demonstrates that patients are not as discriminating in their ability to identify small color differences between composite restorations and the tooth as are dental professionals. Dental auxiliaries proved to be more discriminating in accepting differences between tooth and composite resin restorative material color than were patients.

Analysis of Variance↗

PubMed2006

Effect of background colors on the tuning of color-selective cells in monkey area V4.

When objects are viewed in different illuminants, their color does not change or changes little in spite of significant changes in the wavelength composition of the light reflected from them. In previous studies, we have addressed the physiology underlying this color constancy by recording from cells in areas V1, V2, and V4 of the anesthetized monkey. Truly color-coded cells, ones that respond to a patch of a given color irrespective of the wavelength composition of the light reflected from it, were only found in area V4. In the present study, we have used a different approach to test the responses of V4 cells in both anesthetized and awake behaving monkeys. Stimuli of different colors, embedded within a Mondrian-type multicolored background, were used to identify the chromatic selectivity of neurons. The illumination of the background was then varied, and the tuning of V4 neurons was tested again for each background illumination. With anesthetized monkeys, the psychophysical effect of changing background illumination was inferred from our own experience, whereas in the awake behaving animal, it was directly reported by the monkey. We found that the majority of V4 neurons shifted their color-tuning profile with each change in the background illumination: each time the color of the background on the computer screen was changed so as to simulate a change in illumination, cells shifted their color-tuning function in the direction of the chromaticity component that had been increased. A similar shift was also observed in colored match-to-sample psychometric functions of both human and monkey. The shift in monkey psychometric functions was quantitatively equivalent to the shift in the responses of the corresponding population of cells. We conclude that neurons in area V4 exhibit the property of color constancy and that their response properties are thus able to reflect color perception.

Action Potentials↗

PubMed2002

Color contrast and contextual influences on color appearance.

We used a hue-scaling task to examine changes in color perception resulting from adaptation or induction to color contrast in spatially-varying backgrounds. Observers judged the perceived color of tests after or while viewing backgrounds composed of color differences along selected axes in color space. Both contrast adaptation and contrast induction produced large and selective shifts in perceived hue angle, and interacted in similar ways when combined, suggesting that they had functionally similar influences on perceived hue. Both also consistently biased perceived hue away from the color axis of the background, implying response changes within multiple channels tuned to different directions in color space. Selective hue changes were also observed when the gamut of colors forming the backgrounds were drawn from natural color distributions. This suggests that color perception in different environments may be systematically biased by adaptation to the distributions of colors in those environments. However, we did not find these biases when the same test stimuli were judged after adapting to actual natural scenes.

Adaptation, Ocular↗

PubMed1999

The effect of color intensity and appropriateness on color-induced odor enhancement.

Coloring solutions has been shown to increase perceived odor intensity. In Experiment 1, subjects rated the odor intensity of red strawberry and green mint solutions that had four levels of color intensity. Ratings of strawberry odor peaked at the medium color intensity and ratings of mint odor increased monotonically with color intensity. Thus, color-induced odor enhancement can increase with increasing color intensity but need not. Experiment 2 found that the color intensities producing maximum odor enhancement in Experiment 1 are not always the ones perceived as most appropriate for the odorants. Using different odors, Experiment 3 found that color intensity has some influence on the strength of the color-induced odor enhancement and color appropriateness has little. The presence or absence of color in the solution seems to be the most important variable.

Adult↗

PubMed2003

The performance of color deficient individuals on airfield color tasks.

BACKGROUND: The pseudo-isochromatic plate (PIP) test (e.g., Ishihara test) is the clinical test commonly used to assess color vision. Upon failure of this test, candidates are typically reassessed using the Farnsworth Lantern (FALANT) test to determine their fitness for occupations which require normal color vision. We were interested in determining to what extent clinical tests can predict real life color naming performance, particularly in the context of "airside drivers" (any airport vehicle operators who drive on the airfield). METHODS: There were 24 male subjects with a color vision deficiency, as defined by the Ishihara test, who participated in this study. They were further assessed using the D-15 and lantern color vision tests. All subjects then participated in two separate color naming tasks. These tasks consisted of naming surface colors and colored-lights of the type used on the airfield of the Hong Kong International Airport (HKIA). RESULTS: Of the 24 subjects, 15 failed both D-15 and the FALANT tests. Out of these 15 subjects, 8 also failed the naming tasks. The FALANT test showed very good agreement (87.5%) with the Ishihara test. Similar to the Ishihara, FALANT tests had 100% sensitivity in identifying the subjects who failed the naming tasks. The agreement between the Ishihara and D-15 tests was 62.5%. DISCUSSION: In common with previous studies, our results show that clinical tests cannot predict accurately who will fail color naming tasks of the type normally encountered in the real-life work environment. The high false positive values of the clinical tests in relation to color naming tasks suggest that people with color deficiency may not be given a fair opportunity to demonstrate their true ability in performing the task.

Adult↗

PubMed1979

[The color rendition of microscopical stains by the dyes produced in reversal color films (author's transl)].

When comparing spectral and colorimetric data of colors of our natural environment with the data of microscopical stains, we observe considerable differences in spectral transmittance respectively reflectance. Furthermore, the spectral locus of these colors are situated at very different positions in the color space or in a chromaticity diagram. By this reason, we must anticipate that usual color reversal materials being optimized in the very first line for the reproduction of colors like foliage green, sky blue or earth, cannot render the hues of histological stains in a satisfying manner. To prove this assertion, the reproducible ranges of hues in the color space were calculated by means of the spectral densities of the dyes developed in the three layers of various color reversal films, and these results were then compared with the spectral data of some stains often applied for histology (H-E, Goldner, Azan etc.). By this method, we find that no color film examined can reproduce in a sufficient manner all these stains at the same time. The results can allow for color micrography the selection of a definite film for best possible color matching of a least one interesting range of color.

Color↗

PubMed2006

Difference in color and color parameters between dental porcelain and porcelain-repairing resin composite.

The objective of this study was to measure the differences in color and color parameters between dental porcelain and porcelain-repairing resin composites. The colors of three shades (A2, A3, A3.5) of one brand of dental porcelain, three original shades (A2, A3, A3.5), and three combinations (A2/A3, A3/3.5, A2/A3.5) of three brands of porcelain-repairing resin composites (ABT, FSP, TCR) were measured. The specimens were 2 mm thick, and 1 mm of each shade was layered to make combined shades. Differences in color (DeltaE(ab) (*)), lightness (DeltaL*), chroma (DeltaC(ab) (*)), and hue (DeltaH(*)) between porcelain and resin composite were calculated. Color difference was calculated as DeltaE(ab) (*) = (DeltaL*(2) + Deltaa*(2) + Deltab*(2))(1/2), chroma difference was calculated as DeltaC(ab) (*) = (Deltaa*(2) + Deltab*(2))(1/2), and hue difference was calculated as DeltaH(ab) (*) = (DeltaE(ab) (*2) - DeltaL*(2) - DeltaC(ab) (*2))(1/2). The influence of porcelain shade, brand of resin composites, and shade of resin composites were analyzed by three-way analyses of variance, and the differential influence of color parameters on color difference was analyzed with multiple regression analysis (alpha = 0.05). Differences in color and color parameters were influenced by the porcelain shade, brand and shade of resin composites. The DeltaE(ab) (*) value was in the range of 2.2-16.9. The DeltaE(ab) (*) value was correlated with DeltaC(ab) (*) (standardized correlation coefficient, beta = - 0.85), DeltaL* (beta = - 0.52), and DeltaH(ab) (*) (beta = 0.08). Between the same shade designated pairs of porcelain and repairing composite, color difference was perceptible. Therefore, studies to improve the color matching between porcelain and repairing resin are recommended.

Color↗

PubMed1995

Reducing color-color interference by optimizing selection for action.

Color-color interference refers to the finding that the naming of a target color is hampered by the simultaneous presentation of an incongruent distractor color somewhere else in the visual field. This interference effect has been attributed to an imperfect input selection (selection-for-processing). We test an alternative account in which it is assumed that (a) target and distractor are identified in parallel without mutual interference, (b) the identified target color has to be selected to control the naming response (selection-for-action), and (c) this selection process takes more time and is less accurate in the incongruent condition than in the control conditions. Experiment 1 shows that color-color interference obtained when a target color, presented at the point of fixation, is flanked by incongruent colors. In Experiments 2 and 3, the central target position is indicated by an additional exogenous selection cue. The results show that an abrupt-onset cue, presented at the central target position 160 ms after the onset of the target and distractors, reduces the interference effect. This finding is interpreted as supporting evidence for a selection-for-action account of color-color interference.

Adult↗