scholarly journals Perceptual matching of translucent materials under different illuminant conditions.

2012 ◽  
Vol 12 (9) ◽  
pp. 867-867
Author(s):  
S. Nakauchi ◽  
R. Nishijima ◽  
T. Nagai ◽  
Y. Tani ◽  
K. Koida ◽  
...  
Keyword(s):  
Perceptual Matching

Reaction Time, Agility, Equilibrium, and Kinesio-Perceptual Matching as Predictors of Intelligence

1970 ◽  
Vol 31 (2) ◽  
pp. 460-462 ◽  
Author(s):  
Paul A. Sommers ◽  
Lee M. Joiner ◽  
Laurence E. Holt ◽  
J. C. Gross
Keyword(s):  
Regression Analysis ◽  
Reaction Time ◽  
Linear Regression ◽  
Dynamic Equilibrium ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Multiple Correlation ◽  
Intelligence Scale ◽  
Developmental Validation ◽  
Perceptual Matching

The study was designed to determine the predictive validity of 5 kinesio-perceptual (KP) items (dynamic equilibrium, reaction time, agility, static equilibrium, and KP matching) contained in a test battery (KPT) administered to 120 institutionalized retarded children, chronological ages (CA) 8 to 20 yr. When multiple linear regression analysis was used to predict scores on the Wechsler Intelligence Scale for Children (IQ) the multiple correlation was .75 ( R2 = .57, p = .001). Knowledge of CA and sex added only 1% to the total amount of IQ variance accounted for. A brief discussion of the conflict between the goals of developmental validation and prediction of intellective criteria was also presented.

scholarly journals Self and team prioritisation effects in perceptual matching: Evidence for a shared representation

2018 ◽  
Vol 182 ◽  
pp. 107-118 ◽  
Author(s):  
Florence Enock ◽  
Jie Sui ◽  
Miles Hewstone ◽  
Glyn W. Humphreys
Keyword(s):  
Perceptual Matching

Differential Sensitivity of Letters, Numbers, and Symbols to Character Transpositions

2012 ◽  
Vol 24 (7) ◽  
pp. 1610-1624 ◽  
Author(s):  
Jon Andoni Duñabeitia ◽  
Maria Dimitropoulou ◽  
Jonathan Grainger ◽  
Juan Andrés Hernández ◽  
Manuel Carreiras
Keyword(s):  
Visual System ◽  
Human Visual System ◽  
Target Stimulus ◽  
General Purpose ◽  
Differential Sensitivity ◽  
Matching Task ◽  
Electrophysiological Activity ◽  
Character Position ◽  
Position Coding ◽  
Perceptual Matching

This study was designed to explore whether the human visual system has different degrees of tolerance to character position changes for letter strings, digit strings, and symbol strings. An explicit perceptual matching task was used (same–different judgment), and participants' electrophysiological activity was recorded. Materials included trials in which the referent stimulus and the target stimulus were identical or differed either by two character replacements or by transposing two characters. Behavioral results showed clear differences in the magnitude of the transposed-character effect for letters as compared with digit and symbol strings. Electrophysiological data confirmed this observation, showing an N2 character transposition effect that was only present for letter strings. An earlier N1 transposition effect was also found for letters but was absent for symbols and digits, whereas a later P3 effect was found for all types of string. These results provide evidence for a position coding mechanism that is specific to letter strings, that was most prominent in an epoch between 200 and 325 msec, and that operates in addition to more general-purpose position coding mechanisms.

scholarly journals Perceptual Matching for Assessment of Itch; Reliability and Responsiveness Analyzed by a Rank-Invariant Statistical Method

2003 ◽  
Vol 121 (6) ◽  
pp. 1301-1305 ◽  
Author(s):  
Elisabet Stener-Victorin ◽  
Thomas Lundeberg ◽  
Jan Kowalski ◽  
Lars Opdal ◽  
Johan Sjöström ◽  
...  
Keyword(s):  
Statistical Method ◽  
Perceptual Matching

scholarly journals Self-prioritization and perceptual matching: The effects of temporal construal

2017 ◽  
Vol 45 (7) ◽  
pp. 1223-1239 ◽  
Author(s):  
Marius Golubickis ◽  
Johanna K. Falben ◽  
Arash Sahraie ◽  
Aleksandar Visokomogilski ◽  
William A. Cunningham ◽  
...  
Keyword(s):  
Temporal Construal ◽  
Perceptual Matching

Sinusoidal modelling using perceptual matching pursuits in the Bark scale for parametric audio coding

2006 ◽  
Vol 153 (4) ◽  
pp. 431 ◽  
Author(s):  
P. Vera-Candeas ◽  
N. Ruiz-Reyes ◽  
J.C. Cuevas-Martı́nez ◽  
M. Rosa-Zurera ◽  
F. López-Ferreras
Keyword(s):  
Audio Coding ◽  
Matching Pursuits ◽  
Perceptual Matching ◽  
Parametric Audio Coding

A Perceptual Matching Technique for Depth Judgments in Optical, See-Through Augmented Reality

2006 ◽  
Author(s):  
J.E. Swan ◽  
M.A. Livingston ◽  
H.S. Smallman ◽  
D. Brown ◽  
Y. Baillot ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Matching Technique ◽  
Perceptual Matching

scholarly journals How Character-Centric Game Icon Design Affects the Perception of Gameplay

2021 ◽  
Vol 11 (21) ◽  
pp. 9911
Author(s):  
Xiaoxiao Cao ◽  
Makoto Watanabe ◽  
Kenta Ono
Keyword(s):  
Differential Method ◽  
Perceptual Quality ◽  
Element Analysis ◽  
Second Stage ◽  
Affective Quality ◽  
Visual Matching ◽  
Matching Procedure ◽  
Perceptual Matching ◽  
Classification Tasks

Mobile games are developing rapidly as an important part of the national economy. Gameplay is an important attribute, and a game’s icon sometimes determines the user’s initial impression. Whether the user can accurately perceive gameplay and affective quality through the icon is particularly critical. In this article, a two-stage perceptual matching procedure is used to evaluate the perceptual quality of six categories of games whose icons include characters as elements. First, 60 highly visual matching icons were selected as second-stage objects through classification tasks. Second, through the semantic differential method and correlation analysis, highly visual matching icons’ affective matching quality was measured. Finally, a series of icon samples were determined, and element analysis was carried out. Several methods were proposed for improving the perceptual quality of game icons. Studying the perceptual matching relationship can better enhance the interaction between designers, developers, and users.

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