Color memory matching: Time effect and other factors
✍ Scribed by Joaquín Pérez-Carpinell; Rosa Baldoví; M. Dolores de Fez; José Castro
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 265 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0361-2317
No coin nor oath required. For personal study only.
✦ Synopsis
The methods of simultaneous and successive, able and depends on visual conditions. Under suitable conditions, we are able to discriminate between very simi-or memory, color matching have been compared for 10 color reference samples distributed in two groups each lar colors.
When two colors are compared, taking into account the performed by 50 observers (25 men and 25 women). Our results, obtained with a total of two hundred Munsell time elapsed between the observation of a color and its matching, we may classify color matching methods into color chips arrayed on ten gray cardboard panels, indicate that: (a) while by simultaneous matching the mean simultaneous color matching and successive color matching. We talk about simultaneous color matching when this color differences obtained are, in most cases, lower than 1 CIELAB unit, those obtained by memory are generally takes place between juxtaposed fields and the gap time is zero. This kind of matching is the basis for differential higher; (b) the worst remembered colors are yellow, light green, blue, and pink, and the best remembered color is colorimetry and is the most widely used in the laboratory. Successive color matching, or memory matching, takes orange; (c) the influence of the delay time (15 s, 15 min, and 24 h) is significant for the remembered mean color place when some time has elapsed between the presentation of stimuli, either judging a present color related to a (p õ 0.03); (d) we find significant men-women differmemorized one or trying to reproduce the color called ences for the remembered mean color (p õ 0.05). ᭧ 1998 up. In this case, the ability to distinguish between colors
📜 SIMILAR VOLUMES
## Abstract The Peña–Box model is considered for finding the time‐effect factors of a multiple time series. This paper first establishes the connection between the Peña–Box model and the vector ARMA model. According to the Peña–Box model, some series can be ignored while modelling the vector ARMA m
How a forager might use a memory window to estimate instantaneous harvest rate while it exploits slowly depleting patches in two different environments is considered here. The memory window represents some fraction of the total information obtained from sampling a patch and contains only the most re