Research on Aging Design of News APP Interface Layout Based on Perceptual Features

Lecture Notes in Computer Science - Human-Computer Interaction. Design and User Experience Case Studies ◽

10.1007/978-3-030-78468-3_10 ◽

2021 ◽

pp. 138-152

Author(s):

Zhixin Wu ◽

Zehua Li ◽

Xiang Li ◽

Hongqian Li

Keyword(s):

Perceptual Features

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Sadness is Cold and Guilt is Inside: Perceptual Features Describe and Differentiate Negative Emotions

PsycEXTRA Dataset ◽

10.1037/e509992015-210 ◽

2014 ◽

Author(s):

Lisa Cavanaugh ◽

Deborah J. MacInnis ◽

Allen M. Weiss

Keyword(s):

Negative Emotions ◽

Perceptual Features

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Acoustic and Perceptual Features of the Emotional Speech of Adolescents Aged 14–16 Years

Российский физиологический журнал им И М Сеченова ◽

10.31857/s086981392003005x ◽

2020 ◽

Vol 106 (3) ◽

pp. 329-341

Author(s):

A. S. Grigorev ◽

V. A. Gorodnyi ◽

O. V. Frolova ◽

A. M. Kondratenko ◽

V. D. Dolgaya ◽

...

Keyword(s):

Emotional Speech ◽

Perceptual Features

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The Effects of Goal Relevance and Perceptual Features on Emotional Items and Associative Memory

Frontiers in Psychology ◽

10.3389/fpsyg.2017.01223 ◽

2017 ◽

Vol 8 ◽

Cited By ~ 1

Author(s):

Wei B. Mao ◽

Shu An ◽

Xiao F. Yang

Keyword(s):

Associative Memory ◽

Perceptual Features ◽

Goal Relevance

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Artificial grammar learning in children: abstraction of rules or sensitivity to perceptual features?

Psychological Research ◽

10.1007/s00426-011-0328-5 ◽

2011 ◽

Vol 76 (1) ◽

pp. 97-110 ◽

Cited By ~ 11

Author(s):

Arnaud Witt ◽

Annie Vinter

Keyword(s):

Artificial Grammar Learning ◽

Artificial Grammar ◽

Perceptual Features ◽

Grammar Learning

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Theta-gamma coupling binds visual perceptual features in an associative memory task

Scientific Reports ◽

10.1038/s41598-018-35812-7 ◽

2018 ◽

Vol 8 (1) ◽

Cited By ~ 7

Author(s):

Moritz Köster ◽

Holger Finger ◽

Sebastian Graetz ◽

Maren Kater ◽

Thomas Gruber

Keyword(s):

Associative Memory ◽

Memory Task ◽

Perceptual Features

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Convolutional Neural Network with Spectrogram and Perceptual Features for Speech Emotion Recognition

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-04212-7_6 ◽

2018 ◽

pp. 62-71 ◽

Cited By ~ 1

Author(s):

Linjuan Zhang ◽

Longbiao Wang ◽

Jianwu Dang ◽

Lili Guo ◽

Haotian Guan

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Emotion Recognition ◽

Speech Emotion Recognition ◽

Perceptual Features

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Visual Categorization and Object Representation in Monkeys and Humans

Journal of Cognitive Neuroscience ◽

10.1162/089892902317236830 ◽

2002 ◽

Vol 14 (2) ◽

pp. 187-198 ◽

Cited By ~ 61

Author(s):

N. Sigala ◽

F. Gabbiani ◽

N. K. Logothetis

Keyword(s):

Object Representation ◽

Rating Task ◽

Linear Boundary ◽

Conditional Probabilities ◽

Diagnostic Features ◽

Categorization Task ◽

Visual Categorization ◽

Perceptual Features ◽

Subordinate Categorization

We investigated the influence of a categorization task on the extraction and representation of perceptual features in humans and monkeys. The use of parameterized stimuli (schematic faces and fish) with fixed diagnostic features in combination with a similarity-rating task allowed us to demonstrate perceptual sensitization to the diagnostic dimensions of the categorization task for the monkeys. Moreover, our results reveal important similarities between human and monkey visual subordinate categorization strategies. Neither the humans nor the monkeys compared the new stimuli to class prototypes or based their decisions on conditional probabilities along stimulus dimensions. Instead, they classified each object according to its similarity to familiar members of the alternative categories, or with respect to its position to a linear boundary between the learned categories.

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