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      Synesthetic Design of Digital Elderly Products Based on Big Data

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      Wireless Communications and Mobile Computing
      Hindawi Limited

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          Abstract

          With the development of digital information technology, digital products have been integrated into people’s lives. The advent of the era of big data and the application of artificial intelligence have greatly accelerated this process. However, the increasingly high-end technology of these digital products brings more and more complex operations. The use and operation of these digital products have become a huge problem for the elderly who have a low level of acceptance of digital products or even a little out of touch. The purpose of this article is to study the influence of synesthetic design of digital senior products based on big data on the development of digital senior products. This article first understands the current problems in the development of digital elderly products and the design concepts and design processes of these digital elderly products through questionnaire surveys and market research. Then, this article analyzes the importance of synesthesia design for digital product design for the elderly through literature research and related product design cases. Then, this article combines the application of big data technology and complex intelligent system to carry out the synesthesia design of digital elderly products, the most important of which is to use the image recognition technology of complex intelligent system and intelligent voice interaction technology to achieve the synesthesia effect of these product designs. Finally, this paper uses the mathematical model of maximum utility and some statistical methods to analyze the effect of the product synesthesia design experiment in this research. Studies have shown that synesthesia design can maximize the utility of digital products for the elderly. This result is more than 95% confident in statistical analysis. Therefore, synesthesia design plays an important role in the popularization and development of digital elderly products in the elderly consumer groups.

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          Most cited references5

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          Implicit associative learning in synesthetes and nonsynesthetes

          Although cross-modal neural connections and genetic underpinnings are prominent in most current theories regarding the development of synesthesia, the potential role of associative learning in the formation of synesthetic associations has recently been revitalized. In this study, we investigated implicit associative learning in synesthetes and nonsynesthetes by recording reaction times to a target whose color was probabilistically correlated with its shape. A continuous measure of target detection at multiple time points during learning revealed that synesthetes and nonsynesthetes learn associations differently. Specifically, our results demonstrate a ‘fast facilitation’ learning effect for nonsynesthetes and ‘fast interference, slow facilitation’ learning effect for synesthetes. Additionally, synesthetes exhibited superior long-term memory for learned associations in a surprise-delayed retest. After this retest, participants implicitly learned new (shuffled) shape-color associations. We found that synesthetes experienced greater interference while learning these new shape-color associations. These results detail ways in which implicit associative learning and memory differ between synesthetes and nonsynesthetes.
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            • Record: found
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            Color Processing in Synesthesia: What Synesthesia Can and Cannot Tell Us About Mechanisms of Color Processing

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              • Record: found
              • Abstract: not found
              • Article: not found

              SYNAMET - A Microcorpus of Synesthetic Metaphors. Preliminary Premises of the Description of Metaphor in Discourse

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                Author and article information

                Contributors
                Journal
                Wireless Communications and Mobile Computing
                Wireless Communications and Mobile Computing
                Hindawi Limited
                1530-8677
                1530-8669
                April 8 2021
                April 8 2021
                : 2021
                : 1-9
                Affiliations
                [1 ]College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou, 450002 Henan, China
                Article
                10.1155/2021/5596571
                92804c2d-e6c6-40b4-94f6-57181bc8e488
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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