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Titlebook: HCI International 2019 – Late Breaking Papers; 21st HCI Internation Constantine Stephanidis Conference proceedings 2019 Springer Nature Swi

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https://doi.org/10.1007/978-981-13-1196-3 participants evaluated the impressions of color images by employing the semantic differentials method, which comprised 13 adjective pairs. In the visual experiment, 20 color images were presented to 31 Japanese male participants, more specifically, 10 trichromatic, 10 protan, and 11 deutan color-vi
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Silvia Tornaletti,Gerd P. Pfeifergly diverse human-computer interaction systems in today’s automobiles, the design of HMI (human-machine interact) is very important to driver’s safety..This paper presents a new human-machine interaction evaluation method from both objective and subjective perspective that combined with eye movement
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https://doi.org/10.1007/978-3-319-16247-8ing this data, also called system traces, recent investigations show the potential to improve the wireless modem design and performance using data-centric approaches. Such data-centric workflows are exploratory and iterative by nature. For instance, time pattern identification is performed by domain
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Dinesh Chandra Uprety,Pallavi Saxena and academics to effectively acquire essential information regarding their academic and campus life. To investigate the pain points and needs of our target user group, user research consisting of interviews and surveys was conducted. Based on the key findings from qualitative analysis, the concept
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Currency Under the Web 3.0 Economy,ches to addressing the similarities of situations and developments, including structural similarity and descriptive similarity. Structural similarity and descriptive similarity have been linked in many ways. One of these ways is based on theorems proven in algebraic systems and universal algebra the
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Sapunii Sebastian,Karuna Kalitaal value. The system consists of an automatic dimensionality reduction scheme, based on t-SNE algorithm, and an exploratory user interface based on dynamic views of the data. Our approach allows users to effectively compare and relate visual representations of nutritional value in both micro and mac
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