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Pawel Cybulski and Tymoteusz Horbinski
The purpose of this article is to show the differences in users? experience when performing an interactive task with GUI buttons arrangement based on Google Maps and OpenStreetMap in a simulation environment. The graphical user interface is part of an in...
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Maxim Bakaev and Olga Razumnikova
Tasks that imply engagement of visual-spatial working memory (VSWM) are common in interaction with two-dimensional graphical user interfaces. In our paper, we consider two groups of factors as predictors of user performance in such tasks: (1) the metrics...
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Bernard Champoux,Sriram Subramanian
This paper proposes a mechanism to design Tangible User Interface (TUI) based on Alexander?s (1964) design approach i.e. achieving fitness between the form and its context. Adapted to the design of TUIs, the fitness-of-use mechanism now takes into consid...
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Maxim Bakaev, Sebastian Heil and Martin Gaedke
Training data for user behavior models that predict subjective dimensions of visual perception are often too scarce for deep learning methods to be applicable. With the typical datasets in HCI limited to thousands or even hundreds of records, feature-bas...
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Annalisa Liccardo and Francesco Bonavolontà
The topics of virtual, mixed, and extended reality have now become key areas in various fields of scientific and industrial applications, and the interest in them is made tangible by the numerous papers available in the scientific literature. In this reg...
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Elisa Mammoliti, Davide Fronzi, Adriano Mancini, Daniela Valigi and Alberto Tazioli
Nowadays, the balance between incoming precipitation and stream or spring discharge is a challenging aspect in many scientific disciplines related to water management. In this regard, although advances in the methodologies for water balance calculation c...
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Inder Tecuapetla-Gómez, Gerardo López-Saldaña, María Isabel Cruz-López and Rainer Ressl
Earth observation (EO) data play a crucial role in monitoring ecosystems and environmental processes. Time series of satellite data are essential for long-term studies in this context. Working with large volumes of satellite data, however, can still be a...
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Hoyeol Chae, Ryangkyung Kang and Ho-Sik Seok
Under the fierce competition and budget constraints, most mobile apps are launched without sufficient tests. Thus, there exists a great demand for automated app testing. Recent developments in various machine learning techniques have made automated app t...
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Youn Shik Park, Bernie A. Engel, Jane Frankenberger and Hasun Hwang
Collecting and analyzing water quality samples is costly and typically requires significant effort compared to streamflow data, thus water quality data are typically collected at a low frequency. Regression models, identifying a relationship between stre...
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Pascal Pieper, Vladimir Herdt and Rolf Drechsler
RISC-V is a modern Instruction Set Architecture (ISA) that, by its open nature in combination with a clean and modular design, has enormous potential to become a game changer in the Internet of Things (IoT) era. Recently, SystemC-based Virtual Prototypes...
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Luca Giordano, Andrea Francavilla, Corrado Lanera, Sara Urru, Paola Berchialla and Ileana Baldi
Patients are the most important actors in clinical research. Therefore, patient preference information (PPI) could support the decision-making process, being indisputable for research value, quality, and integrity. However, there is a lack of clear guida...
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Ren-Hung Hwang, Yu-Ling Hsueh and Yu-Ting Chang
Term extraction is an important task that automatically extracts relative terms from the texts in a given domain. A significant number of web applications need to model information for specific topics. In particular, we have explored a Taiwan government ...
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Rudy Hirschheim,Juhani livari,Heinz Klein
The field of information systems (IS) has grown dramatically over the past three decades. Recent trends have transformed the IS landscape. These trends include: the evolution of implementation technology from centralized mainframe environments towards di...
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