Increasingly, educational institutes are migrating into mobile platforms and mobile app technology to communicate, advertise, and dissimilate education-related information to their stakeholders using virtual campus journey mobile apps. Campus journey mobile apps generally provide standardized generic customization to their user base, incorporating a list of favorite touchpoints based on the users’ frequent behaviors. In the literature, personalization, and customization, definitions are mixed-up and inter-changed with no proper separation of these two concepts. In this research, the personalized virtual journey is examined according to the user’s preference. It includes creating and updating the personalized virtual campus journey path as an activity of the user and having it as an integral part of the personalized virtual campus journey application. This research presents the concept structure, design, implementation, and evaluation results of the personalized virtual campus journey mobile app development according to the user’s preferences with the user given the ability to control his or her own virtual journey experience.

Today, vast amounts of data are collected from the internet, and the general public generates most data using social networks. There is a need to have a comprehensive approach to characterize the quality of such user-generated data collection from the internet. The data quality characteristics accepted among database and computer science communities have definitions that are not domain-specific. Therefore, there is no clear understanding of the data quality characteristics specific to user-generated content. This research examines different user-generated content platforms against the general data quality characteristics to determine which quality characteristics are essential for user-generated content. The research contributes to a list of definitions of those data quality characteristics specific to user-generated content. These definitions help identify quality characteristics useful for user-generated content platforms and their implementations. The quality of the content of Atlas of Living Australia, Twitter, YouTube, Wikipedia, and WalkingPaths is evaluated to assess the essence of the quality characteristics defined in this research.

Modern district heating (DH) systems are complex engineering structures that play an essential role in large city infrastructures. DH networks have many sensors, nodes, and methods for monitoring the status of the DH network. Sensing, processing, analytical actuation (SPA) of incoming information handled by the SPA semantic Computing method can be applied to similar problems. The SPA Semantic Computing method searches for correlations between the sets of incoming data and to identify the correct scenario to respond to events. This article explores the integration of SPA functions to analyze multivariate sensing data, including data from multivariable sensors and infrared images, for creating a monitoring system for DH networks. The focus is to assess whether the SPA approach is a suitable candidate to use to monitor the emergency events of the DH network. Specific target data for the assessment are [1] multi-parameter DH network sensor data, such as water temperature, sweat rate, energy delivered, etc., and [2] infrared image data from a camera mounted on the unmanned aerial vehicle (UAV) for monitoring the location of the underground DH network leaks. A multivariate computational model, a mathematical model of meaning (MMM), and a spatial image filtering method are proposed for integrating SPA semantic computing for emergency leak detection in DH networks.

Airlines are of great importance to the transportation sector. With the increase in commercial air travel, airlines require extra flight crews. Aviation industry’s cabin crewmembers are faced with working overtime, working in shifts and long working hours. The shift system causes fatigue for flight crews. Fatigue is of critical importance in the aviation industry. Depending on the physical and psychological fatigue, explicit or implicit results appear. There are a number of approaches in the aviation industry to prevent fatigue. When previous studies are examined, there are few studies examine in the general, and aviation crew’s fatigue treat both pilots and cabin crew alike. The relationship between cabin crew’s fatigue-to-fatigue risk management systems, key fatigue-causing factors, tools to alarm fatigue, and outcome assessments are non-existent. However, various difficulties are encountered in measuring the cabin crews fatigue levels and measurements and are often subjective and not reliable. Therefore, the aim of this study is to create a concept map to be integrated into the aviation cabin crew’s fatigue risk assessment application design and implementation in order to arrive at a comprehensive fatigue risk assessment tool for the aviation industry.

The primary purpose of conducting this research is to determine how campus journey application development is progressing. As a result, this research proposes a conceptual model for visitor journey application development. The study included 100 top ranking educational institutes and additionally included Finnish and Estonian universities. 39 virtual campus tour applications and 36 visitor journey applications are benchmarked in total for this study. Provides an example of visitor journey mapping with features, complexities, and best practices that are influential for improving visitor experience during visitor journey application development.

Augmented Reality is a display and interaction method of future computing. It augments digital information in real environments in text, audio, image, or video formats. Augmented reality can be more effective if supported by knowledge about human needs. Basic human needs are finite in number, and with the right methods, they are detectable or predictable. This research develops an ontology that describes the structure and relations between the elements of augmented reality, context information, and human needs, with the ultimate goal of developing a robust conceptual model. Ontology development is a knowledge-driven approach used to represent data and reasoning. This paper focuses on linking the aforementioned concepts to enable correct data representation and reasoning. The research approach, process used, and the evaluation of the ontology is presented as well.

Citizen science project applications can be created in two different ways: use an existing platform or build them from scratch. When creating applications for citizen science projects, data quality, privacy and provenance are important characteristics of such applications. Therefore, the objective of this research is to find out how well data quality, privacy and provenance are handled in ongoing citizen science projects. A number of citizen science projects have been compared against ISO/IEC 25012 data quality standard characteristics. Results show that data quality is mostly lacking in the areas of accuracy, privacy, provenance and availability. Projects have not implemented decent accuracy checks when giving data, projects show the real name and location of participants and such data should not be available to others. Management of provenance is not found in many projects but where it is found, provenance is either really well or extremely poorly handled. Many of these issues could be easily solved with proper data management and testing. At the end of this article, multiple suggestions are given to improve data quality, provenance and privacy in citizen science project applications.

The rapid development of smart cities has prompted the increase of different social and psychological problems. The most common are the problems of social anxiety, isolation, and loneliness. This study has revealed how people's lifestyle in smart cities lead to the social isolation, as the result of increase in the level of anxiety and loneliness. Social isolation of lonely people is connected to factors such as the lack of face-to-face communication and the dominance of virtual communications. This research explores development of an event based social network for introducing face-to-face contact for generating events to overcome social isolation and loneliness in smart cities.

The research presented in this paper explores the feasibility of using comparatively inexpensive and highly modifiable virtual reality hardware and software combined with already existing eye tracking solutions to provide alternatives to the field of vision measurement. Virtual reality technology has been rising as a means for gaming for several years now, but the adaptation of this technology to other fields is still in progress. The technology required for such a solution already exists and some relevant prototypes have already been tested, but the applications of virtual reality usage in vision measurement are for now limited to relatively simple operations. The system proposed focuses on perimetry using integrated eye tracking as input for data gathering, software for data validation, and virtual reality headset to show the stimuli.

The citizen science programs in forest environments are implemented to collect forest data, measure and monitor data such as forest pollution and forest damages, and many other environmental issues related to forests. Based on our literature review on citizens science and citizen science databases we purpose a database design for Finland's forest incidents reporting application. The database design has been proposed in a way to support the community to report about incidents occurring in the forest. Text, photos, and videos are data types in use to report incidents. In addition, the paper provides a possible proposal for data gathering application design. The research will also provide the current challenges of citizen science databases and future improvements for the proposed database design.

The omnichannel strategy allows the customer to have the same experience through multiple different channels, which can greatly improve the customer experience and thus benefit businesses. This research paper studies the evaluation of customer experience in the omnichannel environment. Very little research about it exists as it is quite a new business model. Therefore, a systematic literature review was conducted to find as much relevant data as possible and analyse the results systematically. 42 channels, 97 customer experience factors and 34 tools or methods are found from 19 different studies and categorized accordingly. All the connections between the extracted data are discovered by processing it with a relations visualizing tool. This way it enables to see how everything is connected and which topics are the most common in the included studies. Finally, from the findings, this research proposes a conceptual model linking all the parts of this research together to create a basic outline for customer experience evaluation in the omnichannel environments.

The services and products are provided to the community through crowdsourcing platforms where crowds are of different backgrounds, nationalities, languages, religions, and education levels. These differences affect the results of services and products that are developed using crowdsource platforms. This study presents the way of integration of cultural factors into the design features of crowdsource product designing. The research presents the activities of crowdsource product designing, and the cultural factors to derive the theoretical foundation for formulating the cultural factors for crowdsource product designing. Also, the study derives methods that are used for integrating the cultural factors into crowdsourcing product design platforms. Also, it illustrates the design of the user interface of crowdsourcing product design platforms taking cultural factors into consideration. The research is validated by prototyping and conducting test cases. Finally, it presents a discussion of the research results and explains the effect of cultural factors on crowdsource product designing. Thus confirms the necessity of designing platform activities integrating the cultural factors in order to satisfy the crowdsource product design users' needs.

The concept of context-aware personalization enables implicit detection of user context to achieve personalization of services. Coupled with pervasive technologies such as augmented reality, this concept forms a view into the future of computing. This research argues that it is essential to understand the needs of the human-being using the technology. Hence, the goal of this research is to provide a description of the relationship between human needs and context information, and its role in the personalization of applications. This paper answers the research question: “How to enhance personalization using context awareness in applications for a better pervasive experience?” The research work resulted in the development of a user-centric model that embodies the concepts of context awareness and needs prediction. The proposed model is applicable in pervasive technology aiming to provide information or services with minimum attention from users to attain a high satisfaction level. The pragmatic values of this work is aimed in the fields of ambient assisted living, healthcare, entertainment, and advertisement.

Smart cities make use of ICT in an effective ways to manage their resources to achieve high satisfaction levels for their citizens. The smart city applications are ICT services, they immensely depend on the achievement of characteristics, factors, and indicators to measure the degree of ICT that contribute to provide services. Therefore, the degree of ICT permits the judgment of the level of smartness of a city. This research proposes an enhanced framework to evaluate the smartness of a city based on three functional layers comprising of three smartness measuring factors (SMF). The smart measuring factors include smart infrastructure, smart citizen, smart governance, smart mobility, smart economy, smart lifestyle, smart technology adaptation tendency, smart service integration level, smart response feedback model and ICT Maturity comprise of the umbrella activity. The proposed framework computes the level of efficiency in utilizing city's resources and thus fills the research gap presenting a way to the evaluation of the smart cities.

Components are already prominent in the implementation and deployment of advanced distributed information systems. Part and parcel of this development are the effective Component Based Development (CBD) methodology encompassing methods, tools and techniques that effectively target the existing component based technology. Current CBD methodologies lack a comprehensive component-based concept structure. They handle components mainly at the implementation and deployment phases still, which are heavily influenced by UML notations. In this paper a presentation is made of an evaluation framework, which highlights the extent to which a methodology is component oriented. Current CBD methods and approaches do not provide full support for various component concepts. Therefore, a CBD method sample was evaluated using the framework’s concepts and requirements. CBD method improvements are proposed based on the evaluation. The improved approach suggests the use of the standard RM-ODP as an underlying framework, to provide consistent, systematic, and integrated CBD methodology engineering support throughout the lifecycle.