scholarly journals A Methodology for Multisensory Product Experience Design Using Cross-modal Effect: A Case of SLR Camera

2019 ◽  
Vol 1 (1) ◽  
pp. 3801-3810
Author(s):  
Takuma Maki ◽  
Hideyoshi Yanagisawa
Keyword(s):  
Regression Model ◽  
Cognitive Structure ◽  
Sensory Experience ◽  
Experience Design ◽  
Regression Curve ◽  
Product Experience ◽  
Modeling Methodology ◽  
Change Perceptions ◽  
Multisensory Experience

AbstractThroughout the course of product experience, a user employs multiple senses, including vision, hearing, and touch. Previous cross-modal studies have shown that multiple senses interact with each other and change perceptions. In this paper, we propose a methodology for designing multisensory product experiences by applying cross-modal effect to simultaneous stimuli. In this methodology, we first obtain a model of the comprehensive cognitive structure of user's multisensory experience by applying Kansei modeling methodology and extract opportunities of cross-modal effect from the structure. Second, we conduct experiments on these cross-modal effects and formulate them by obtaining a regression curve through analysis. Finally, we find solutions to improve the product sensory experience from the regression model of the target cross-modal effects. We demonstrated the validity of the methodology with SLR cameras as a case study, which is a typical product with multisensory perceptions.

Culture and the plasticity of perception

2020 ◽  
Vol 43 ◽  
Author(s):  
Michael Lifshitz ◽  
T. M. Luhrmann
Keyword(s):  
Cultural Context ◽  
Sensory Experience ◽  
Cultural Learning ◽  
The World

Abstract Culture shapes our basic sensory experience of the world. This is particularly striking in the study of religion and psychosis, where we and others have shown that cultural context determines both the structure and content of hallucination-like events. The cultural shaping of hallucinations may provide a rich case-study for linking cultural learning with emerging prediction-based models of perception.

scholarly journals Measurement of Gem Colour Using a Computer Vision System: A Case Study with Jadeite-Jade

Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 791
Author(s):  
Sufei Zhang ◽  
Ying Guo
Keyword(s):  
Computer Vision ◽  
Regression Model ◽  
Vision System ◽  
Expert Group ◽  
Group Test ◽  
System A ◽  
Real Objects ◽  
Practical Tool ◽  
Almost All

This paper introduces computer vision systems (CVSs), which provides a new method to measure gem colour, and compares CVS and colourimeter (CM) measurements of jadeite-jade colour in the CIELAB space. The feasibility of using CVS for jadeite-jade colour measurement was verified by an expert group test and a reasonable regression model in an experiment involving 111 samples covering almost all jadeite-jade colours. In the expert group test, more than 93.33% of CVS images are considered to have high similarities with real objects. Comparing L*, a*, b*, C*, h, and ∆E* (greater than 10) from CVS and CM tests indicate that significant visual differences exist between the measured colours. For a*, b*, and h, the R2 of the regression model for CVS and CM was 90.2% or more. CVS readings can be used to predict the colour value measured by CM, which means that CVS technology can become a practical tool to detect the colour of jadeite-jade.

scholarly journals What does a neuron learn from multisensory experience?

2015 ◽  
Vol 113 (3) ◽  
pp. 883-889 ◽  
Author(s):  
Jinghong Xu ◽  
Liping Yu ◽  
Terrence R. Stanford ◽  
Benjamin A. Rowland ◽  
Barry E. Stein
Keyword(s):  
Superior Colliculus ◽  
Early Life ◽  
Life Experience ◽  
Sensory Experience ◽  
Rearing Environment ◽  
Early Life Experience ◽  
Environmental Events ◽  
Cat Superior Colliculus ◽  
Maturational Process ◽  
Multisensory Experience

The brain's ability to integrate information from different senses is acquired only after extensive sensory experience. However, whether early life experience instantiates a general integrative capacity in multisensory neurons or one limited to the particular cross-modal stimulus combinations to which one has been exposed is not known. By selectively restricting either visual-nonvisual or auditory-nonauditory experience during the first few months of life, the present study found that trisensory neurons in cat superior colliculus (as well as their bisensory counterparts) became adapted to the cross-modal stimulus combinations specific to each rearing environment. Thus, even at maturity, trisensory neurons did not integrate all cross-modal stimulus combinations to which they were capable of responding, but only those that had been linked via experience to constitute a coherent spatiotemporal event. This selective maturational process determines which environmental events will become the most effective targets for superior colliculus-mediated shifts of attention and orientation.

Film Production and Consumption in Contemporary Taiwan

2016 ◽  
Author(s):  
Ya-Feng Mon
Keyword(s):  
Film Industry ◽  
Sensory Experience ◽  
Media Convergence ◽  
Film Production ◽  
Production And Consumption ◽  
And Control ◽  
Depth Interviews

This book uses the potent case study of contemporary Taiwanese queer romance films to address the question of how capitalism in Taiwan has privileged the film industry at the expense of the audience's freedom to choose and respond to culture on its own terms. Interweaving in-depth interviews with filmmakers, producers, marketers, and spectators, Ya-Fong Mon takes a biopolitical approach to the question, showing how the industry uses investments in techno-science, ancillary marketing, and media convergence to seduce and control the sensory experience of the audience-yet that control only extends so far: volatility remains a key component of the film-going experience.

scholarly journals Estimation of Heteroskedasticity Semiparametric Regression Curve Using Fourier Series Approach

2020 ◽  
Vol 2 (1) ◽  
pp. 14-20
Author(s):  
Rahmawati Pane ◽  
Sutarman
Keyword(s):  
Fourier Series ◽  
Regression Model ◽  
Variable Parameter ◽  
Predictor Variable ◽  
Semiparametric Regression ◽  
Least Square ◽  
Parameter Vector ◽  
Regression Curve ◽  
Semiparametric Regression Model ◽  
Main Components

A heteroskedastic semiparametric regression model consists of two main components, i.e. parametric component and nonparametric component. The model assumes that any data (x̰ i′ , t i , y i ) follows y i = x̰ i′ β̰+ f(t i ) + σ i ε i , where i = 1,2, … , n , x̰ i′ = (1, x i1 , x i2 , … , x ir ) and t i is the predictor variable. Parameter vector β̰ = (β 1 , β 2 , … , β r ) ′ ∈ ℜ r is unknown and f(t i ) is also unknown and is assumed to be in interval of C[0,π] . Random error ε i is independent on zero mean and varianceσ 2 . Estimation of the heteroskedastic semiparametric regression model was conducted to evaluate the parametric and nonparametric components. The nonparametric component f(t i ) regression was approximated by Fourier series F(t) = bt + 12 α 0 + ∑ α k 𝑐 𝑜𝑠 kt Kk=1 . The estimation was obtained by means of Weighted Penalized Least Square (WPLS): min f∈C(0,π) {n −1 (y̰− Xβ̰−f̰) ′ W −1 (y̰− Xβ̰− f̰) + λ ∫ 2π [f ′′ (t)] 2 dt π0 } . The WPLS solution provided nonparametric component f̰̂ λ (t) = M(λ)y̰ ∗ for a matrix M(λ) and parametric component β̰̂ = [X ′ T(λ)X] −1 X ′ T(λ)y̰

scholarly journals Reference model for building innovation networks in information technology

2021 ◽  
Vol 28 (3) ◽  
Author(s):  
Adauto Lucas da Silva ◽  
Fábio Müller Guerrini
Keyword(s):  
Information Technology ◽  
Research Methodology ◽  
Formation Process ◽  
Reference Model ◽  
Knowledge Development ◽  
Innovation Networks ◽  
Organizational Processes ◽  
Exploratory Case Study ◽  
Modeling Methodology

Abstract: The change in organizational processes by means of associating the new resources made available by IT (Information Technology) with the intrinsic characteristics of business-related areas embodies one of the innovation concepts. This work proposes a reference model for the formation of innovation networks focused on implementing systems that represent innovations by associating IT with the business area. The research methodology is based on an exploratory case study, composed of several analysis units, and on the organizational modeling methodology EKD (Enterprise Knowledge Development) to formulate the reference model. This research proposition contributes to systematize the formation process of collaborative alliances among the innovation agents in order to implement Information Technology-based systems.

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