Perception Imagery Research Articles

Perceptual imagery of soft sofa fabrics based on visual-tactile evaluation

Perceptual imagery of soft sofa fabrics based on visual-tactile evaluation

Statistical relationships between surface form and sensory meanings of English words influence lexical processing.

Across spoken languages, there are some words whose acoustic features resemble the meanings of their referents by evoking perceptual imagery, i.e., they are iconic (e.g., in English, "splash" imitates the sound of an object hitting water). While these sound symbolic form-meaning relationships are well-studied, relatively little work has explored whether the sensory properties of English words also involve systematic (i.e., statistical) form-meaning mappings. We first test the prediction that surface form properties can predict sensory experience ratings for over 5,000 monosyllabic and disyllabic words (Juhasz & Yap, 2013), confirming they explain a significant proportion of variance. Next, we show that iconicity and sensory form typicality, a statistical measure of how well a word's form aligns with its sensory experience rating, are only weakly related to each other, indicating they are likely to be distinct constructs. To determine whether form typicality influences processing of sensory words, we conducted regression analyses using lexical decision, word recognition, naming and semantic decision tasks from behavioral megastudy data sets. Across the data sets, sensory form typicality was able to predict more variance in performance than sensory experience or iconicity ratings. Further, the effects of typicality were consistently inhibitory in comprehension (i.e., more typical forms were responded to more slowly and less accurately), whereas for production the effect was facilitatory. These findings are the first evidence that systematic form-meaning mappings in English sensory words influence their processing. We discuss how language processing models incorporating Bayesian prediction mechanisms might be able to account for form typicality in the lexicon. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A study on the impact of full eco-smart home on the cognitive load and perceptual needs of elderly users

In the context of the digital era, the factors influencing the cognitive load of the full ecological smart home on the elderly are mostly interconnected. Most existing studies have conducted single correlation analyses, ignoring the fact that cognitive load is the result among multiple interactions of multiple factors. Furthermore, the color, material and Finishing of the product design can also impact on the user’s perceptual needs. Therefore, exploring the grouping dynamics of cognitive load and users’ perceptual needs for color (C), material (M), and Finishing (F) of smart products can provide insights for inclusive design of smart homes. The article analyzes the asymmetric multiple concurrent causal effects of full ecological smart homes on the cognitive load of the elderly from a histological perspective using fuzzy set Qualitative Comparative Analysis (fsQCA) based on the four elements of Innovation Diffusion Theory. At the same time, principal component analysis and quantitative theory I class method are used to explore the quantitative relationship between color, material, Finishing and users’ perceptual imagery of the product. The results of the study showed that there were no necessary conditions leading to high or low cognitive load in the fsQCA analysis, indicating that the problem was the result of the interaction of multiple conditions, and the final analysis yielded three histological pathways leading to low cognitive load and one pathway leading to high load in older adults. Moreover, the study identifies the combination of colors, materials, and finishes that best represent user preferences. This study establishes a dialogue between theory, results, and cases in analyzing of the group dynamics of the impact of full ecological smart homes on the cognitive load of the elderly. It provides a theoretical basis for the development of digital inclusion enhancement strategies.

A deep learning-based method for evaluating the quality of corporate brand packaging visual design

Abstract With the development of deep learning technology, the quality evaluation of enterprise brand packaging visual design becomes more critical. The study first established a brand packaging design product color imagery dataset through color emotionalization, and used systematic clustering technology for imagery selection and evaluation. Subsequently, the brand packaging visual design was optimized based on user demand, combining perceptual engineering and user demand mapping model. Many samples were evaluated by GoogLeNet model, and the data were processed by K-mean clustering and semantic difference method. The results show that the proposed method can effectively distinguish the perceptual imagery of different brand packaging designs, such as traditional, modern, simple, and complex. Specifically, more than 90% of the samples in the experiment achieve high consistency in perceptual imagery evaluation. In addition, the study analyzed the classification effect and quality evaluation of corporate brand packaging visual design, proving the validity and reliability of the method. This study provides a new quality evaluation method for corporate brand packaging graphic design, which helps to improve design efficiency and quality.

Integration and development of modern art design and environmental design in the context of deep learning

Abstract In the rapid development of digitalization, the combination of artificial intelligence technology and environmental art design is expected to gradually change the design process and promote the sustainable development of design. After specifically exploring the application of deep learning technology in the integration of modern art and environmental design, this paper utilizes the generative adversarial network under the deep learning model to design the intelligent color-matching model integrating visual aesthetics and the intelligent environmental art style generating a model based on CycleGAN, respectively and conducts the perceptual intention analysis of the environmental art design works under the intelligent generation to explore its developmental progression. The results of the eye movement experiment show that the correlation coefficients between the perceptual imagery score data of the four groups of environmental art designs are all in the range of 0.433 to 0.599, with a moderate positive correlation. Among them, the correlation coefficients between the total access time, gaze duration, gaze number, and perceptual imagery score are close to 0.6, and the significance coefficients are all less than 0.05, which indicates that the automatic generation of modern art design and environmental design proposed in this paper has a better user aesthetic preference. Introducing AI-assisted sustainable design can ensure the sustainability and effectiveness of the design solutions in practical applications, thus promoting the entire environmental art design industry to develop in a greener and more sustainable direction.

Research on Indoor Digital Design and Experience Based on Perception and Behavioral Association

Abstract This study examines interior digital design and experience based on perceptual-behavioral associations, focusing on how users’ perceptual cognition affects the internal design experience. This study collects data on users’ physiological and psychological responses when observing interior design by combining eye movement and electroencephalography techniques. Morphological analysis was used to deconstruct and reorganize the interior design elements, while the Mixed Integer Quadratic Programming (MIQP) method was used to design the interior space layout. The experimental results show that subjects’ average perceptual imagery ratings of interior schemes in the internal design perception and behavioral experiments differed significantly, and the EEG data and eye movement data exhibited specific behavioral characteristics. For example, there were statistically significant differences in perceptual imagery ratings and physiological data across interior design schemes within a particular time window. Combining eye-movement and EEG data can capture users’ perceptual perceptions and behavioral responses.

Exploring the Decorative Innovation of Interactive Digital Art in Interior Design under the Guidance of Ecological Concepts

Abstract In this article, we study how interactive digital art is applied in interior design under the ecological concept, focusing on color innovation and image technology to enhance the aesthetics and functionality of interior decoration. The article studies the three elements of color design and their application in product design. The K-Means clustering method is used to classify color imagery words in interior design, and the GAN model is combined to generate interior design colors. The results show that the error qualification rate for the color design scheme coding combination serial number is 88.2%. The composition of interior image decoration systems, digitization processing, and image fusion technology are also a part of this. A method for analyzing the impact of indoor digital decoration based on the ecological concept was proposed after studying the application range of interior decorative colors using cluster analysis. A questionnaire survey was conducted to analyze the perceptual imagery of interior decoration design. Interactive digital art can effectively enhance the aesthetics and functionality of interior design while reaffirming the ecological concept.

The shared and unique neural correlates of personal semantic, general semantic, and episodic memory.

One of the most common distinctions in long-term memory is that between semantic (i.e., general world knowledge) and episodic (i.e., recollection of contextually specific events from one's past). However, emerging cognitive neuroscience data suggest a surprisingly large overlap between the neural correlates of semantic and episodic memory. Moreover, personal semantic memories (i.e., knowledge about the self and one's life) have been studied little and do not easily fit into the standard semantic-episodic dichotomy. Here, we used fMRI to record brain activity while 48 participants verified statements concerning general facts, autobiographical facts, repeated events, and unique events. In multivariate analysis, all four types of memory involved activity within a common network bilaterally (e.g., frontal pole, paracingulate gyrus, medial frontal cortex, middle/superior temporal gyrus, precuneus, posterior cingulate, angular gyrus) and some areas of the medial temporal lobe. Yet the four memory types differentially engaged this network, increasing in activity from general to autobiographical facts, from autobiographical facts to repeated events, and from repeated to unique events. Our data are compatible with a component process model, in which declarative memory types rely on different weightings of the same elementary processes, such as perceptual imagery, spatial features, and self-reflection.

Перцептивное пространство в рассказе И. С. Тургенева «История лейтенанта Ергунова»

The paper is the first to examine the system of perceptual imagery in I. S. Turgenev’s short story “Lieutenant Yergunov’s Story”. The scientific novelty of the research is accounted for by its subject – the analysis of the structure of perceptual space, which includes all types of “physiological” (P. A. Florensky) spaces: visual, acoustic, olfactory, tactile, gustatory. The aim of the research is to show the dependence of the perceptual image on the point of view of the character (subject of perception) and the narrator (subject of expression). In accordance with the stated aim, special attention was paid to liminal space, the description of the state of the protagonist’s transition from wakefulness to sleep and delirium. As a result of the research, it has been found that I. S. Turgenev purposefully creates an artistic narrative about the transformation of perception under the influence of the external environment: he shows how the deprivation of visual and acoustic sensations actualizes other forms of sensory perception – smell and touch. Thus, the short story, to which researchers tend to refer as “mystical”, is presented as an artistic version of the description of human psychophysiology, as a response to the works of H. von Helmholtz and I. M. Sechenov, with which the writer became acquainted in the 1860s.

Measuring brain potentials of imagination linked to physiological needs and motivational states.

While EEG signals reflecting motor and perceptual imagery are effectively used in brain computer interface (BCI) contexts, little is known about possible indices of motivational states. In the present study, electrophysiological markers of imagined motivational states, such as craves and desires were investigated. Event-related potentials (ERPs) were recorded in 31 participants during perception and imagery elicited by the presentation of 360 pictograms. Twelve micro-categories of needs, subdivided into four macro-categories, were considered as most relevant for a possible BCI usage, namely: primary visceral needs (e.g., hunger, linked to desire of food); somatosensory thermal and pain sensations (e.g., cold, linked to desire of warm), affective states (e.g., fear: linked to desire of reassurance) and secondary needs (e.g., desire to exercise or listen to music). Anterior N400 and centroparietal late positive potential (LPP) were measured and statistically analyzed. N400 and LPP were differentially sensitive to the various volition stats, depending on their sensory, emotional and motivational poignancy. N400 was larger to imagined positive appetitive states (e.g., play, cheerfulness) than negative ones (sadness or fear). In addition, N400 was of greater amplitude during imagery of thermal and nociceptive sensations than other motivational or visceral states. Source reconstruction of electromagnetic dipoles showed the activation of sensorimotor areas and cerebellum for movement imagery, and of auditory and superior frontal areas for music imagery. Overall, ERPs were smaller and more anteriorly distributed during imagery than perception, but showed some similarity in terms of lateralization, distribution, and category response, thus indicating some overlap in neural processing, as also demonstrated by correlation analyses. In general, anterior frontal N400 provided clear markers of subjects' physiological needs and motivational states, especially cold, pain, and fear (but also sadness, the urgency to move, etc.), than can signal life-threatening conditions. It is concluded that ERP markers might potentially allow the reconstruction of mental representations related to various motivational states through BCI systems.

Haunting melodies: Specific memories distort beat perception

How much does specific previous experience shape immediate perception? Top-down perceptual inference occurs in ambiguous situations. However, similarity-based accounts such as exemplar theory suggest that similar memories resonate with the percept, predicting that detailed previous experiences can shape perception even when bottom-up cues are unambiguous. The current study tests whether specific musical memories influence beat perception only under ambiguity, or more pervasively—that is, even when clear bottom-up beat cues are present. Listeners were exposed to 16 melodies, half in one meter, half in another. Later, each listener's perception of a specific melody's beat pattern was tested when that melody occurred in either its original meter or another meter. Ratings of metrical probes were influenced not only by fit with the current (test) meter, but also by fit with the meter previously experienced with that melody. Findings suggest that perception is routinely influenced by detailed top-down perceptual imagery.

Using Kano Model to Explore the Charm of Painting Art Works in the Meaning of Life and Death

The study of life and death is a learning topic. When we face to the life and death issue, it relates to our own lives. Most people are happy with life, but are full of fear of death. This research uses life and death as an example to explore "the creation of the meaning of life and death in composite media." It is hoped that through the extension of the meaning and images of life and death, the themes and elements of painting creation can be integrated to provide the exploration and thinking direction of the meaning of life. This research hopes to extend the meaning and imagery of life and death and incorporate the creative themes and elements of mixed media, so as to provide a direction for the exploration and thinking of the meaning of life. Applying the Miryoku Engineering Evaluation Grid Method to clarify the relationship between the meaning of life and death, style and perceptual imagery, and through the artistic creation of mixed media, summarize the preferences of mixed media creation works that affect the expression of birth and death images. Using the Evaluation Grid Method, 7 people with high involvement in the creation of mixed media and the imagery of life and death were conducted in-depth interviews on the charm and feelings of the meaning of life and death. By summarizing the attractiveness factors of choosing between life and death, the conclusion can be used as a basis for the development of future painting creation after subsequent verification and research on the purpose of life, the meaning of life, the value of survival, and the true meaning of death.

АКСИОЛОГИЯ ПЕРЦЕПТИВНОЙ ОБРАЗНОСТИ В МЕМУАРНОМ, ХУДОЖЕСТВЕННОМ, КРИТИЧЕСКОМ ДИСКУРСЕ В. НАБОКОВА 1937-1940-Х ГГ.

The article analyzes the perceptual imagery in V. Nabokov’s works of the French period (1937-1940s) prior to his movement to England and relocation to America. Research material is the texts in which the different discourses (memoir, artistic, critical) and situation of the perception (recollection, creation, reading) are combined: the necrologies On Khodasevich, [In Memory of A. O. Fondaminskaya], essays Literary Review, Pushkin, or the Real and the Plausible, autobiographical novel Mademoiselle O. Research methodology relays on the investigations which discuss Nabokov’s oeuvre as a macrotext in which artist’s individual perceptive experience is represented. The article scrutinizes the axiological and structural meaning of the sensorial images in Nabokov’s text of the French period. The characteristics of the perceptual imagery are drawn upon the connection between the image and the subject articulated his senses. The key peculiarity of the perceptual imagery in the works of the French period is that it creates the plot on observer changing his identity and conquer the boundaries of the perception by means of the other point of view. V. Nabokov considers the attention to the autonomic subject of perception as a key artistic value.

The Language of Smell in Vladimir Nabokov’s Mystical Discourse of Prose from His French Period

This article focuses on the mystical connotations of the olfactory images in V. Nabokov’s prose from his French period (1937–1940). The authors analyse the connection between Nabokov’s mystical, philosophical, and aesthetic conceptions. They demonstrate that mystical experience is not conveyed by the writer directly but through the narration structure and forms of the mystical code in literature and philosophy (as in N. Gogol, P. Ouspensky, A. Bergson, etc.). The research refers to studies that prove the metafictional nature of Nabokov’s mysticism and its connection with perceptual imagery. As a result, the authors distinguish the ambivalent meaning of olfactory images. Smell is an element of the observer’s sensorial hallucination and a way in which the otherworld impacts on characters’ perception. On the other hand, images of smell are used to assess the ability of language to convey not only familiar smells, but also supersensory experiences. In Nabokov’s prose, the main smell characteristics are the temporal and spatial distance between the source and the subject of perception, the correlation with the observer’s viewpoint, and the peculiarities of nomination. More particularly, the magical meaning of smell images that create the plot for solipsistic characters is associated with the perception of the grotesque nature of smell. The authors conclude that mysticism is an attribute of Nabokov’s fictional world itself. The mystical connotations of smell lie in its transgressive and irrational forms: the fact that smell is difficult to verbalise is due to its ability to transcend the boundaries of fictional worlds, imaginary reality, and narration about it.

Evaluation of Cultural Creative Product Design Based on Computer-Aided Perceptual Imagery System

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.

Optimal Design of Virtual Reality Visualization Interface Based on Kansei Engineering Image Space Research

To effectively organize design elements in virtual reality (VR) scene design and provide evaluation methods for the design process, we built a user image space cognitive model. This involved perceptual engineering methods and optimization of the VR interface. First, we studied the coupling of user cognition and design features in the VR system via the Kansei Engineering (KE) method. The quantitative theory I and KE model regression analysis were used to analyze the design elements of the VR system’s human–computer interaction interface. Combined with the complex network method, we summarized the relationship between design features and analyzed the important design features that affect users’ perceptual imagery. Then, based on the characteristics of machine learning, we used a convolutional neural network (CNN) to predict and analyze the user’s perceptual imagery in the VR system, to provide assistance for the design optimization of the VR system design. Finally, we verified the validity and feasibility of the solution by combining it with the human–machine interface design of the VR system. We conducted a feasibility analysis of the KE model, in which the similarity between the multivariate regression analysis of the VR intention space and the experimental test was approximately 97% and the error was very small; thus, the VR intention space model was well correlated. The Mean Square Error (MSE) of the convolutional neural network (CNN) prediction model was calculated with a measured value of 0.0074, and the MSE value was less than 0.01. The results show that this method can improve the effectiveness and feasibility of the design scheme. Designers use important design feature elements to assist in VR system optimization design and use CNN machine learning methods to predict user image values in VR systems and improve the design efficiency. Facing the same design task requirements in VR system interfaces, the traditional design scheme was compared with the scheme optimized by this method. The results showed that the design scheme optimized by this method better fits the user’s perceptual imagery index, and thus the user’s task operation experience was better.

Anomalous visual experience is linked to perceptual uncertainty and visual imagery vividness

An imbalance between top-down and bottom-up processing on perception (specifically, over-reliance on top-down processing) can lead to anomalous perception, such as illusions. One factor that may be involved in anomalous perception is visual mental imagery, which is the experience of “seeing” with the mind’s eye. There are vast individual differences in self-reported imagery vividness, and more vivid imagery is linked to a more sensory-like experience. We, therefore, hypothesized that susceptibility to anomalous perception is linked to individual imagery vividness. To investigate this, we adopted a paradigm that is known to elicit the perception of faces in pure visual noise (pareidolia). In four experiments, we explored how imagery vividness contributes to this experience under different response instructions and environments. We found strong evidence that people with more vivid imagery were more likely to see faces in the noise, although removing suggestive instructions weakened this relationship. Analyses from the first two experiments led us to explore confidence as another factor in pareidolia proneness. We, therefore, modulated environment noise and added a confidence rating in a novel design. We found strong evidence that pareidolia proneness is correlated with uncertainty about real percepts. Decreasing perceptual ambiguity abolished the relationship between pareidolia proneness and both imagery vividness and confidence. The results cannot be explained by incidental face-like patterns in the noise, individual variations in response bias, perceptual sensitivity, subjective perceptual thresholds, viewing distance, testing environments, motivation, gender, or prosopagnosia. This indicates a critical role of mental imagery vividness and perceptual uncertainty in anomalous perceptual experience.

Research on EEG-based Graphic User Interface Kansei Design Evaluation

Graphical user interface (GUI) is designed as the interaction medium between the user and the interface, and the perceptual experience of GUI design has been paid more and more attention by users. Based on the theory of perceptual engineering (KE), two groups of different visual style interfaces were taken as an example to record the EEG data when users watched two groups of visual interfaces, in order to explore the user’s perceptual imagery and perceptual experience for the visual interface. It aims to meet the user’s perceptual needs and provide an effective evaluation method and design basis for the graphical user interface design. Firstly, the EEG spectrogram and brain topographic maps were obtained by data analysis and processing. The results showed that the activity levels of the θ wave and α wave induced by the two groups of different visual style interfaces were significantly different. Secondly, this paper analyzed the user’s perceptual imagery with GUI perceptual design elements, and concluded that the perceptual design elements of GUI would affect the user’s cognitive interest and perceptual experience. GUI design should focus on the unity and coordination of perceptual design elements and perceptual imageries. Finally, it is concluded that the EEG-based perceptual design evaluation method can effectively evaluate the GUI visual interface.

NABOKOV’S REFLECTION ON HIS OWN AND OTHERS’ WORKS IN THE SHORT NOVEL “VASILIY SHISHKOV” AND POEM “THE POETS”

The problem of Nabokov’s artistic identity is relevant for contemporary literature studies. The researchers interpret writer’s estimation of his Russian works differently: in his American years, Nabokov (1) created a new artistic identity (A. Dolinin) and started a new career (N. Cornwell) or (2) developed his general themes (B. Boyd), targeted at English readers. The unique status of the texts written in French is defined by their “phantom” nature (M. Malikova) and the “final work with the literature legacy” (A. Babikov). In our research, the problem of Nabokov’s identity is analyzed for the first time in its connection with the methods of creation of the “phantom” fictional world. Our research subject includes the poem “The Poets” and the short story “Vasiliy Shishkov”. The texts are considered within the literary-critical and artistic contexts. The purpose of this article is to determine how the reflection of one’s own and other people’s creativity is built in these works, taking into account that perceptual imagery serves as tools for aesthetic assessment for Nabokov. The main research method in the work is structural-semiotic analysis: perceptual images are characterized by the variety of their localization, by the method of creation and distribution, by their attitude to the background, etc. The structural-semiotic approach to the analysis of literary texts has revealed the value of “phantom” or “distinctness” in Nabokov’s artistic optics. The intensity of sensations is directly related to the status of the subject of perception and to its position in the hierarchy of fictional worlds (Vasily Shishkov is the fiction of the narrator, the narrator is the fiction of the emigrant writer Nabokov). The impossibility of reliable perception, its continuity and limitation within the framework of an entire era or individual life are assessed by Nabokov as important conditions for creative development, especially significant in a situation of reflection on a new addressee art creation.

TRANSPARENCY IN V. NABOKOV’S STORY “THE ENCHANTER”

This article studies the perceptual effect of “transparency” in The Enchanter, Nabokov’s last story written in the Russian language. The research goal is to determine the forms of Nabokov’s meta-description, associated with the poetological problem of artistic development in the period of language transition. The research subject is the perceptual space of the story. Analyzing the perceptual imagery has required using the structural-semantic method and Yu. Levin’s experience of classification of Nabokov’s narrative techniques. The author concludes that transparency is a constructive principle which forms 1) the conflict (the charlatan struggles with the enchanter); 2) the combination of different perceptual modes important for the creation of a plot about a blind character; 3) a discrete artistic space; 4) the dynamics of the perceptual and the estimating points of view. This principle is represented by the sensory contaminations, ellipses, and distinctive perceptual images with the semantics of transparency. The choice of ways in which transparency perception is created directly depends on the problem of the author’s identity.