Efficient Interactive Tactile Maps: A Semi-Automated Workflow Using the TouchIt3D Technology and OpenStreetMap Data

Barvíř, Radek; Vondráková, Alena; Brus, Jan

doi:10.3390/ijgi10080505

Cited by 9 publications

(2 citation statements)

References 28 publications

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“…The literature [18][19] focuses on the user interface design and interaction design of AR books. The literature [20][21] focuses on the design and research of interactive 3D books based on AR technology, introducing key technologies and proposing the production process. In the field of AR picture book publishing, Leo Paper Group publishes and designs the augmented reality interactive three-dimensional book The Search for Wondla [22], and the German company ArsEdition publishes the augmented reality book Aliens and UFOs [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Application of AR virtual implantation technology based on deep learning and emotional technology in the creation of interactive picture books

Liu¹,

Peng²,

Cao³

2023

3C TIC

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In recent years, the field of deep learning has flourished, not only breaking through many difficult problems that are difficult to be solved by traditional algorithms but also bursting with greater vitality when combined with other fields. For example, product emotional design based on deep learning can integrate users' emotional needs into the actual product design. In this paper, we aim to use deep learning and affective technology in the creation of AR interactive picture books to transform the reading process from static to dynamic, enrich visual stimulation, and increase the fun and interactivity of reading. In this paper, based on the three-level theoretical model of emotion, the emotion labeling results are input to a deep neural network for learning, to establish an emotion-based recognition model for picture book images. The results show that the model can well analyze the emotion of images in AR picture books, and the accuracy of prediction is a big improvement compared with traditional machine recognition algorithms. The application of AR virtual implantation technology in interactive picture books on the market is often just a marketing gimmick while combining deep learning and emotional technology can better create diverse interactive picture books to meet children's emotional reading needs, enhance reading engagement, and stimulate children's creativity.

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Section: Introductionmentioning

confidence: 99%

Application of AR virtual implantation technology based on deep learning and emotional technology in the creation of interactive picture books

Liu¹,

Peng²,

Cao³

2023

3C TIC

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“…With the rapid development of social economy and culture, the public demand for the cultural field has increased dramatically, and the concept of interaction design as a participatory design has become a new trend in design innovation and is gradually integrated into people's lives [1][2][3][4]. Interaction experience refers to the purely subjective emotional feelings established psychologically by a group of users in using the same product to enhance and expand how people work, communicate and interact [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of interaction experience of sculpture product design based on perceptual machine model

Li,

Xie

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, the perceptual machine model is applied to analyze the interaction experience of sculpture product design to promote the innovative development of the cultural product design industry. In the design process, product information is passed layer by layer through a multilayer perceptual machine to adjust the magnitude of the weight vector values and obtain the optimal weight vector for sculpture product design. Using the perceptual machine training algorithm, the adjusted weights of the output layer network are calculated to clarify the value and status of perceptual factors in product design, thus proposing an interactive integration route for sculpture product design. A sculpture design product is used as an example to show the effect of the perceptual machine model on enhancing the interaction experience of the sculpture product design. The results show that the sculpture product is at level VI, the average weight of its frontal profile is e=0.46494, and the absolute value of the error between the modeling imagery result and the expected result is less than 0.1, which is within a reasonable error range. It can be seen that the perceptual machine model can transform the sculpture product design principles into user experience elements, which is conducive to the experiential development of sculpture product interaction design.

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Guidelines for Standardizing the Design of Tactile Maps: A Review of Research and Best Practice

Wabínski¹,

Mościcka²,

Touya

2022

The Cartographic Journal

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Efficient Interactive Tactile Maps: A Semi-Automated Workflow Using the TouchIt3D Technology and OpenStreetMap Data

Cited by 9 publications

References 28 publications

Application of AR virtual implantation technology based on deep learning and emotional technology in the creation of interactive picture books

Application of AR virtual implantation technology based on deep learning and emotional technology in the creation of interactive picture books

Analysis of interaction experience of sculpture product design based on perceptual machine model

Guidelines for Standardizing the Design of Tactile Maps: A Review of Research and Best Practice

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