Relevant Aspects for Sustainable Open Source Pandemic Apps and Platform Deployment with Focus on Community Building

The global COVID-19 pandemic revealed the necessity for mobile and web-based solutions for a variety of medical processes, e.g., individual risk calculation, communication of health information and contact tracing. Many such solutions are provided in form of open source software. However, there are major obstacles to the sustainable long-term continuation of such projects. As the topic of sustainability strategies is complex, a classification would be useful to help new projects to identify relevant sustainability factors. Based on a literature review a classification for long-term success of open source software was created. This paper presents a classification focusing on five unique categories: (1) structural decision, (2) revenue generation, (3) user focus, (4) openness and (5) community building. It was developed within the NUM-COMPASS project, focusing content-wise on pandemic apps and structure-wise on open-source provision. We provide some insights into the community building dimension by discussing factors that go into building sustainable communities.

Design and Implementation of Navi-guide Device

The device designed is a navigation guide which will help the user with turn by turn directions. At the present time, use of smartphones for the navigation support has been increased and this in turn leads to risk of accident. The navi-guide device displays step by step direction on the OLED screen. This reduces the chances of mishaps and the increases the user focus. The navi-guide app has been developed for better user interface. The rider will have to just connect his phone to the device via bluetooth can safely reach his destination without any distractions with the aid of this device.

Design and Implementation of Navi-guide Device

The device designed is a navigation guide which will help the user with turn by turn directions. At the present time, use of smartphones for the navigation support has been increased and this in turn leads to risk of accident. The navi-guide device displays step by step direction on the OLED screen. This reduces the chances of mishaps and the increases the user focus. The navi-guide app has been developed for better user interface. The rider will have to just connect his phone to the device via bluetooth can safely reach his destination without any distractions with the aid of this device.

Organizational Barriers which are Facing Electronic Government Implementation: The Electronic Government Implementation Framework

Investigating e-government specified a few organizational barriers to e-government implementation. This paper proposes a framework for examining how organizational barriers affect the application of e-government. Frame creation depends on three main organizational dimensions. First, the organizational main dimensions, which are related to the culture of the organization, include (control system, strategic direction, integration, and coordination). Second, the organizational main dimensions which are related to the structure of the organization include (adaptability, involvement, integration, agreement, reword, and incentive system). Third, the organizational main dimensions, which are related to Information Technology, include (information transfer, Communication, end-user focus, and employee learning). We initiate those organizational obstacles which are recognized in major electronic government literature linked to the organizational culture effectiveness and dimensions. The conclusion is that the framework is related to understand organizational barriers which prompt the implementation of electronic government. This research is limited to the framework that has been developed based on the lens of e-government literature in the application theory. It is now necessary to test this model in different contexts. This study tries to demonstrate that key that impedes the factors that are associated with the implementation and enhancement of the e-government system. There must be more attention to the progress made in e-government projects quickly and accurately. Thus, there is a strong commitment on the part of each government to implement e-government services.

Robo-HUD: Interaction Concept for Contactless Operation of Industrial Cobotic Systems

Intuitive and safe interfaces for robots are challenging issues in robotics. Robo-HUD is a gadget-less interaction concept for contactless operation of industrial systems. We use virtual collision detection based on time-of-flight sensor data, combined with augmented reality and audio feedback, allowing the operators to navigate a virtual menu by “hover and hold” gestures. When incorporated with virtual safety barriers, the collision detection also functions as a safety feature, slowing or stopping the robot if a barrier is breached. Additionally, a user focus recognition module monitors the awareness, enabling the interaction only when intended. Early case studies show that these features present good use-cases for inspection tasks and operation in difficult environments, where contactless operation is needed.

Factors Affecting the Initial Engagement of Older Adults in the Use of Interactive Technology

Smart environments and the use of interactive technology has the potential to improve the quality of life for the senior community as well as to support the connections among the senior community and the world outside their community. In addition to the increasing number of studies in the field of aging and technologies, research is needed to understand the practical issues of user focus, adoption, and engagement for older adults to accept interactive technologies in their lives. In this study, we use two commercial technological interventions (uDraw and GrandPad) to understand technology-related perceptions and behaviors of older adults. We present five case studies that emerge from empirical observations of initial engagement with technology through research methods such as focus group discussions, in-depth interviews, observations, and diary studies. The contributions of this study are identification of the key factors that influence the initial engagement with interactive technology for older adults.

Science and popular science journalism: difficulties of definition and media typology

This article is relevant because there is a need for scientific differentiation of two related categories of modern communication: science journalism and popular science journalism. There is no stable approach to this problem in the Ukrainian discourse, and the current normative documents force the editorial offices to determine the type of activity not according to the specifics of the media, but according to the list available, for example, in GOST. The object of the research were world and Ukrainian media specialized in scientific topics: “Cosmos”, “Popular Science”, “Discover”, “Scientific American”, “Kunsht”, “Spilne”, “Svitohliad”, “Vselennaya, prostranstvo, vremya”, “Science Ukraine”, “Alpha Centauri”, “Nauka i tekhnika”, “Kraina znan”, “Vichnyi mandrivnyk”, “Lokalna istoriia”, “Istoriia. Novyi pohliad”, “Malovidoma istoriia: daleke i blyzke”. At the same time, we analyzed digital practices (web resources), as well as traditional paper media (magazines). The subject of study is the peculiarities of the definition of scientific and popular science journalism and the complexity of the typology of the corresponding media. The main research method was comparative analysis, which, supported by discourse analysis, made it possible, firstly, to compare the existing scientific views on the categories of “scientific journalism” and “popular science journalism” and highlight the main features of each. Secondly, using these methods, an analysis of the world’s leading resources specializing in science journalism was carried out and parallels with this type of Ukrainian media were made. The result of the study is the typological differentiation of modern Ukrainian media resources. The study was based on the hypothesis that the characteristics of the audience and the functional specificity of the resource are decisive factors in terms of differentiation of the media as science and popular science. According to it, those media that are oriented towards advanced users, focus on the latest achievements of science and technology and restrained use online opportunities, almost without resorting to methods of edutainment and sciencetainment, we attribute to the channels of science journalism. The media that combine directions for the mass user, focus on the educational component and different popular pseudo-scientific topics with prolonged potential relevance, we refer to popular science journalism. Taking into audience and functional factors we include following projects of science journalism: “Kunsht”, “Spilne”, “Svitohliad”, “Vselennaya, prostranstvo, vremya”, “Science Ukraine”, “Alpha Centauri”, “Nauka i tekhnika”, “Kraina znan”. “Vichnyi mandrivnyk”, “Lokalna istoriia”, “Istoriia. Novyi pohliad”, “Malovidoma istoriia: daleke i blyzke” we refer to popular science journalism.

Making Meaningful User Segments from Datasets Using Product Dissemination and Product Impact

Online companies face large user populations, making segmentation a daunting exercise. Demonstrating an approach that facilitates user segmentation, this research leverages product dissemination and product impact metrics with normalized Shannon entropy. Using 4,653 products from an international news and media organization with 134,364,449 user-product engagements, we isolate the key products with the widest product dissemination and the least product impact using entropy-based measures, effectively capturing the engagement levels. We demonstrate that a small percentage (0.33% in our dataset) of products are so widely disseminated that they are non-discriminatory, and a large percentage of products (17.02%) are discriminatory but have so little dissemination that their impact is negligible. Our approach reduces the product dataset by 17.35% and the number of user segments by 8.18%. Implications are that organizations can isolate impactful products useful for user segmentation to enhance the user focus.

Why drivers are frustrated: results from a diary study and focus groups

Introduction Designing emotion-aware systems has become a manageable aim through recent developments in computer vision and machine learning. In the context of driver behaviour, especially negative emotions like frustration have shifted into the focus of major car manufacturers. Recognition and mitigation of the same could lead to safer roads in manual and more comfort in automated driving. While frustration recognition and also general mitigation methods have been previously researched, the knowledge of reasons for frustration is necessary to offer targeted solutions for frustration mitigation. However, up to the present day, systematic investigations about reasons for frustration behind the wheel are lacking. Methods Therefore, in this work a combination of diary study and user focus groups was employed to shed light on reasons why humans become frustrated during driving. In addition, participants of the focus groups were asked for their usual coping methods with frustrating situations. Results It was revealed that the main reasons for frustration in driving are related to traffic, in-car reasons, self-inflicted causes, and weather. Coping strategies that drivers use in everyday life include cursing, distraction by media and thinking about something else, amongst others. This knowledge will help to design a frustration-aware system that monitors the driver’s environment according to the spectrum of frustration causes found in the research presented here.