Context-aware Technology Research Articles

Investigating the Moderating Effects of Context-Aware Recommendations on the Relationship Between Knowledge Search and Decision Quality

The paper applied a quantitative method to the impact of context-aware recommendations on decision quality and used partial least squares (PLS) to test the hypotheses of the study. The paper examines how context-aware recommendations affect the knowledge integration and decision-making, offering a valuable contribution to the existing body of knowledge and a framework for understanding knowledge management within a multi-dimensional setting when combined with context-aware technology. This paper provides designers of context-aware recommender systems with ideas to broaden the scope of services and refine learning applications.

Artificial intelligence technologies in information and library systems

The effectiveness of innovative scientific and educational activities largely relies on the technologies of the library industry, including modern information and library systems. Academic and research libraries introduce new technologies in an effort to improve the quality of their services. Artificial intelligence is one of the key technologies for digital transformation of the library industry. The study is aimed at identifying trends in the use of artificial intelligence in information and library service technologies. The author applied the general dialectical method, theoretical analysis and generalization of the content of special, scientific and technical literature, regulatory documents in the field of digitalization of librarianship and artificial intelligence. The results of the study have revealed the role of the integration of artificial intelligence technologies into information and library systems, which lies in the fact that they contribute to the formation of national intellectual libraries, computerization of the routine library services, and structuring innovative academic digital space for the users. Using the example of integration of context awareness technology into some information and library systems, the ability of a digital system to make “reasonable” decisions to extract relevant information for learning and self-education is demonstrated, which also allows to find educational materials on the topic being studied, and to build explicit educational route for a user.

Использование облачных технологий для управления жизненным циклом объектов строительства на этапах проектирования и строительства

This article focuses on the key challenges of managing construction projects, particularly the lack of effective interaction and coordination among participants during the design and construction phases. It emphasizes the role of cloud computing technologies, specifically context-dependent cloud information systems (CACCIS), in optimizing these processes. The authors analyze the current use of fragmented systems in construction and discuss the potential of integrating modern technologies to improve coordination and management efficiency.
 The study describes the architecture and functionality of cloud computing and its integration with context-aware technologies, which can significantly enhance the interaction among project participants. The concluding section highlights the importance of innovative collaborative tools, such as CACCIS, for the modern construction industry, especially in the context of optimizing the life cycle management of construction objects.

Research on Internet of Things Context-Aware Information Fusion Technology for Smart Libraries

In the information age, the rapid innovation and development of information technology plays an important supporting role in the dissemination and utilization of information. As an important concentration of literature information and knowledge resources, the library also actively introduces various advanced technologies, optimizes the service model, and transforms to intelligence. This paper expounds the development status of smart library and context-aware technology at home and abroad, analyzes the application of context-aware technology in smart library, constructs a framework of smart library based on context awareness, and puts forward some suggestions for smart library’s context-aware service.

Uni-Messe: Unified Rule-Based Message Delivery Service for Efficient Context-Aware Service Integration

Rule-based systems, which are the typical technology used to realize context-aware services, have been independently implemented in various smart services. The challenges of these systems are the versatility of action, looseness, and the coding that is needed to describe the conditional branches. The purpose of this study was to support the realization of service coordination and smart services using context-aware technology by converting rule-based systems into services. In the proposed method, we designed and implemented the architecture of a new service: Unified Rule-Based Message Delivery Service (Uni-messe), which is an application-neutral rule management and evaluation service for rule-based systems. The core part of the Uni-messe proposal is the combination of a Pub/Sub and a rule-based system, and the proposal of a new event–condition–route (ECR) rule-based system. We applied Uni-messe to an audio information presentation system (ALPS) and indoor location sensing technology to construct concrete smart services, and then compared and evaluated the implementation to “if this then that” (IFTTT), which is a typical service coordination technology. Moreover, we analyzed the characteristics of other rule-based systems that have been serviced in previous studies and compared them to Uni-messe. This study shows that Uni-messe can provide services that simultaneously combine versatility, ease of conditional description, looseness, context independence, and user interface (UI), which cannot be achieved using conventional rule-based system services. By using Uni-messe, advanced heterogeneous distributed service coordination using rule-based systems and the construction of context-aware services can be performed easily.

Content Service Platform for Providing User-Centric Content in Smart Environments

Smart environments, such as smart cities and streets, contain various heterogeneous devices and content that provide information to users and interact with each other. In a smart environment, appropriate content should be provided based on the situations of users. Additionally, when a user is in motion, it is necessary to provide content in a seamless manner without interruption. A method for systematically controlling the delivery of such content is required. Therefore, we propose a content service platform to meet the needs discussed above. The content service platform supports the delivery of content and events between different devices, as well as the control of content. Context-aware technology can also be applied to support customized content. In this paper, we present an architectural model, a contextual reasoning process, and case study on applying content service platform to a smart street environment. The proposed content service platform applied as a base model to support the provision of user-specific content in smart environments.

Robotic Musicianship Based on Least Squares and Sequence Generative Adversarial Networks

Robotic musicianship research aims to the configuration of robots can analyze, reason, and generate music autonomous. The goal of this research is to achieve the inspiring and meaningful musical interactions between humans and artificially creative robots. This research presents a new model of automatic music generation which is based on least squares and generative adversarial networks (GANs). This research specifies classical piano as the music source and uses the sensors as the context-awareness technology to sense and receive the input audio in human-robot interaction. Therefore, this research applies sequence generation adversarial network (SeqGAN) techniques that are better able to address discrete issues in generating samples of classical piano melodies and datasets. Modifying the SeqGAN approach, this research presented the Least Squares SeqGAN (LS-SeqGAN) method to create melody units on different chords and generates a set of music pieces as testing dataset. In this research, we implement the original method and use the least squares method to stabilize the training of GANs. The performance evaluation shows that proposed LS-SeqGAN method can fulfill the need both of music quality and creativity. It offers a robust infrastructure for the human-robotic interaction that can be used to promote the related robotic applications.

Design-based research on gamified outdoor social enquiry learning with context-aware technology: integration of teacher facilitation for advancing the pedagogical effectiveness

GAMES (Gamified Authentic Mobile Enquiry in Society) is a context-aware mobile application that we developed to support students in conducting gamified social enquiry learning in outdoor environments. This paper focuses on discussing the latter part of a piece of 2-cycle Design-Based Research (DBR) conducted in the context of formal curriculum learning and teaching in Hong Kong, reporting on the work that we carried out in the second research cycle where teacher facilitation was integrated into the pedagogical implementation of GAMES for advancing its effectiveness. The entire DBR involved 9 teachers (from 9 different high schools in 3 different academic categories) and their Grade-10 classes in two consecutive school years (with a total of 555 students). Upon the different academic settings, we (researchers) collaborated with the teachers (practitioners) to derive and enact what and how they could do in order to optimise their students' social enquiry experience in the course of gamified, technology-enhanced outdoor learning. This study not only reveals the importance of teacher facilitation in the process of gamified mobile learning, but it also sheds light on how to design and implement the articulated pedagogical, administrative and technical facilitation acts in the context of formal education.

Design-based research on gamified outdoor social enquiry learning with context-aware technology: integration of teacher facilitation for advancing the pedagogical effectiveness

GAMES (Gamified Authentic Mobile Enquiry in Society) is a context-aware mobile application that we developed to support students in conducting gamified social enquiry learning in outdoor environments. This paper focuses on discussing the latter part of a piece of 2-cycle Design-Based Research (DBR) conducted in the context of formal curriculum learning and teaching in Hong Kong, reporting on the work that we carried out in the second research cycle where teacher facilitation was integrated into the pedagogical implementation of GAMES for advancing its effectiveness. The entire DBR involved 9 teachers (from 9 different high schools in 3 different academic categories) and their Grade-10 classes in two consecutive school years (with a total of 555 students). Upon the different academic settings, we (researchers) collaborated with the teachers (practitioners) to derive and enact what and how they could do in order to optimise their students' social enquiry experience in the course of gamified, technology-enhanced outdoor learning. This study not only reveals the importance of teacher facilitation in the process of gamified mobile learning, but it also sheds light on how to design and implement the articulated pedagogical, administrative and technical facilitation acts in the context of formal education.

Implementation a Context-Aware Plant Ecology Mobile Learning System

Mobile devices are becoming ubiquitous methodologies and tools, providing application for learning and teaching field. On the basis of the widespread use of wireless devices and mobile computing technology, this study proposes a context-aware plant ecology learning system (CAPELS) based on context-aware technology; adapting deep neural networks (DNN) and leaf vein and shape identification algorithm which can identify plant leaves, this system automatically provides relevant botanical and growth environment knowledge to the learners. Therefore, during outdoor education, it can assist learners in accurately obtaining the required relevant botanical and growth environment knowledge. The experimental results indicate that students who used CAPELS performed better learning about plant ecology than those who did not. We also delivered questionnaires to those who used CAPELS and analyzed the results by using the partial least squares (PLS) method. The results have shown that CAPELS can encourage student’s learning motivation and thus improve their learning effectiveness. Thus, CAPELS provides a new educational platform for promoting ecology learning approach and effectively improves student learning efficiency and motivation.

Context Awareness-Based Accident Prevention During Mobile Phone Use

In recent years, with the continuous development of technologies, people’s dependence on smartphones is growing increasingly. Excessive dependence has been causing a considerable number of people to face potential accidents and injuries on account of the use of mobile phones. Based on the above considerations, this paper defines the dangerous context in mathematical forms, using the data collected by sensors in phones and context-aware technology to study the accident prevention methods in the process of using mobile phones. The research involves three parts. Human behavior awareness subproblem refers to the type of behavior currently being taken by the mobile phone holder, which is different from the traditional human behavior recognition problem. The spatial position awareness subproblem refers to the perception of whether the phone holder is in a dangerous area prone to accidental injury. The interactive awareness subproblem refers to how the mobile phone holder interacts with the mobile phone to determine whether the mobile phone holder is in the process of using the mobile phone. The study of accident prevention methods during the use of mobile phones will be based on the output of the above subproblems. After designing and implementing the solutions toward the three subproblems, algorithms are integrated, and the application is designed.

Context-Aware Technology Public Discourses and (Un)-informed Use: The Case of Users in a Developing Country

There is a move towards a future in which consumers of technology are untethered from the devices and technology use becomes subliminal. With this increasing device opacity, loss of user control and increasing device autonomy, there are calls for more research on users' privacy and freedom of choice. There are, however, key figures in the creation of modern technologies who suggest that consumers are informed of the implications of the use of these technologies or, that consumers use the technologies willingly. This paper examines, using Critical Discourse Analysis, two genres of IT-related communication viz. a speech made by the CEO of Facebook, the largest social-networking site and, the privacy policy document of Truecaller, said to be the most-downloaded app in Africa. Furthermore, 25 Sub-Saharan African users were interviewed on their use and understanding of smartphones. The analysis reveals concerns of consumers regarding the absence of choice, a lack of knowledge and information privacy erosion are not unfounded. The results show also that with the speech and policy document alike, there was information that was distorted or omitted. The conclusion was that the discourses surrounding context-awareness, through confusion, misrepresentations, false assurances and illegitimacy, contribute to information imbalances and asymmetry but most importantly, an uninformed consumer.

Design and usability evaluation of COOK, an assistive technology for meal preparation for persons with severe TBI

Aim In Canada, 100,000 people suffer a traumatic brain injury (TBI) every year. The prevalence of moderate to severe TBI is highest for young men, who will live an average of 50 years with this chronic condition associated with physical, emotional and cognitive deficits. Meal preparation, a complex activity with high safety risks, is one of the most significant activities impacted by TBI. Technology shows great promise to support their overall functioning, but no context-aware technology is available to support meal preparation for this population. The main goal of this study was to design and test a technology to support meal preparation with and for persons with severe TBI living in a supported-living residence. Methodology As part of a transdisciplinary technology project linking rehabilitation and informatics, COOK (Cognitive Orthosis for coOKing) was designed with and for future users and stakeholders with a user-centred design methodology. COOK was implemented in three participants’ apartments, and its usability was evaluated at 1, 3 and 6 months post-implementation. Results COOK is a context-aware assistive technology consisting of two main systems: security and cognitive support system. After implementation of COOK, participants were able to resume safe preparation of meals independently. Usability testing showed good effectiveness and an acceptable level of satisfaction. Conclusion COOK appears promising for rehabilitating clients with cognitive disabilities, improving safety in a home environment, and diminishing the need for human supervision. Future studies will need to explore how COOK can be adapted to a broader TBI population, other environments, and other clienteles. Implications for rehabilitation This paper presents a promising context-aware assistive technology for cognition designed with and for clients with severe brain injury to support their independence in meal preparation; COOK, (Cognitive Orthesis for coOKing) is the first cooking assistant in which evidence-based cognitive rehabilitation interventions have been translated into smart technological assistance, to support cognition and ensure safety in a real-life context; Its context-aware characteristic ensures that users receive the assistance they need at the right time and at the right moment. The long-term perspective regarding the use of COOK in clinical practice is promising as this technology has the potential of becoming an additional means of supporting the rehabilitation of people with cognitive impairments and becoming part of a comprehensive solution to help them live at home more independently.

A systematic review of context-aware technology use in foreign language learning

As context plays a critical role in foreign language (FL) learning, context-aware technology is a promising tool for supporting FL learning. The present study examined studies published between 2000 and 2018 to understand the trends of technology and related research and the current issues with context-aware technology in FL learning. This review included 75 empirical studies and 13 system-descriptive studies. The empirical studies were further examined in terms of publication year, methodology, participants, languages, device types, and the effectiveness of the technology based on FL learning results. Most of the studies indicated positive effects of the technology in the affective, linguistic, socio-cultural, and cognitive domains. The review also found issues with the reviewed studies, including the research methods, research sustainability, and practicability of the technology. The review results showed that the number of publications per year fluctuated rather than increased over the studied period. Students’ perceptions of the use of context-aware technology in FL were the most common focus of the reviewed research; far fewer empirical studies were found that assessed students’ actual language learning outcomes. The results of this study suggest that more long-term, pedagogy-informed empirical studies based on students’ actual learning outcomes are required to verify the effectiveness of context-aware technology on FL learning and to help effectively integrate such technology into learning in the future.

Context-aware rule learning from smartphone data: survey, challenges and future directions

Smartphones are considered as one of the most essential and highly personal devices of individuals in our current world. Due to the popularity of context-aware technology and recent developments in smartphones, these devices can collect and process raw contextual data about users’ surrounding environment and their corresponding behavioral activities with their phones. Thus, smartphone data analytics and building data-driven context-aware systems have gained wide attention from both academia and industry in recent days. In order to build intelligent context-aware applications on smartphones, effectively learning a set of context-aware rules from smartphone data is the key. This requires advanced data analytical techniques with high precision and intelligent decision making strategies based on contexts. In comparison to traditional approaches, machine learning based techniques provide more effective and efficient results for smartphone data analytics and corresponding context-aware rule learning. Thus, this article first makes a survey on previous work in the area of contextual smartphone data analytics and then presents a discussion of challenges and future directions for effectively learning context-aware rules from smartphone data, in order to build rule-based automated and intelligent systems.

Key Technology for Intelligent Interaction Based on Internet of Things

In view of the limitations of the traditional intelligent interaction, the new needs brought by intelligent interaction of Internet of things (IoT) and the context-aware technology were analyzed. An intelligent interactive architecture based on context aware and IoT-oriented was proposed. The intelligent interaction and context expression model in the IoT environment were constructed. The results showed that the proposed architecture and method could achieve intelligent interaction between human and materials in the IoT environment. To sum up, the architecture can improve the flexibility of intelligent interaction system.

DATA MINING OF COMMODITY PROPOSALS BASED ON CONTEXT RECOMMENDATIONS

Internet technologies are an integral part of the relationship that arises in modern society. The rapid introduction and convenience of electronic platforms triggered the projected growth in demand in the market for IT products for recommender systems.The article discusses various limitations of current recommender methods and discusses possible extensions that can improve the recommender capabilities and make them more valuable for a wide range of applications. These extensions include improving the perception of users and elements, including contextual information in the recommendatory process, supporting multi-criteria ratings and providing more flexible and at the same time less intrusive types of recommendations.When integrating the relevant information technology to develop a commodity proposals environment, it is therefore necessary to consider the personalization requirements of the proposal to ensure that the technology achieves its intended result. This study therefore sought to apply context aware technology and recommendation algorithms to develop a system realize personalized goals in a context aware manner and improve commodity proposals effectiveness.In order to offer context-aware and personalized information, intelligent processing techniques are necessary. Different initiatives considering many contexts have been proposed, but users preferences need to be learned to offer contextualized and personalized services, products or information. Therefore, this paper proposes an agent-based architecture for context-aware and personalized event recommendation based on ontology and the spreading algorithm. The use of ontology allows to define the domain knowledge model, while the spreading activation algorithm learns user patterns by discovering user interests.Also from the statistical observation, it is found that there exists a higher level agreement towards the system between the participants of both end users and experts.

Mobile Data Science: Towards Understanding Data-Driven Intelligent Mobile Applications

Due to the popularity of smart mobile phones and context-aware technology, various contextual data relevant to users' diverse activities with mobile phones is available around us. This enables the study on mobile phone data and context-awareness in computing, for the purpose of building data-driven intelligent mobile applications, not only on a single device but also in a distributed environment for the benefit of end users. Based on the availability of mobile phone data, and the usefulness of data-driven applications, in this paper, we discuss about mobile data science that involves in collecting the mobile phone data from various sources and building data-driven models using machine learning techniques, in order to make dynamic decisions intelligently in various day-to-day situations of the users. For this, we first discuss the fundamental concepts and the potentiality of mobile data science to build intelligent applications. We also highlight the key elements and explain various key modules involving in the process of mobile data science. This article is the first in the field to draw a big picture, and thinking about mobile data science, and it's potentiality in developing various data-driven intelligent mobile applications. We believe this study will help both the researchers and application developers for building smart data-driven mobile applications, to assist the end mobile phone users in their daily activities.

Semantic Web and ontology-based applications for digital libraries

PurposeThe purpose of this paper is to explore useful Semantic Web technologies and ontology-based applications for digital libraries. It also investigates the perceptions of university librarians and academicians in Pakistan about Semantic Web technologies and their use in digital libraries.Design/methodology/approachAn exploratory research design based on Delphi research strategy was conducted to answer the research questions. Interviews were conducted with a purposive sample of 50 key informants including university librarians and academicians to explore their perceptions about Semantic Web technologies and their use in digital libraries. Thematic analysis of interview data was conducted to obtain results.FindingsThe results of this paper showed that DuraCloud, Semantic information mashup, OntoEdit and resource description framework (RDF) are the various Semantic Web applications which are useful for digital libraries to develop semantic relationships among digital contents and increase their accessibility in the web environment. Findings revealed that Semantic Web provides precise results and meets user information needs in an effective way. Results also showed that next-generation digital libraries use context-awareness technology, intelligent agent software and detecting sensors to analyze user information needs and provide dynamic information services. This paper recommended that librarians should embrace the use of emerging web technologies in libraries and offer library services through the medium of the web.Practical implicationsThis paper envisaged the future of digital library services and Semantic Web applications that can be used to re-structure metadata of digital library. This paper has practical implications for librarians to consider the useful applications of Semantic Web for digital library and enhance the interoperability of metadata among heterogeneous information systems. Practically, results obtained from this paper are highly useful for library schools and LIS teachers to up-date their curriculum by incorporating new contents related to web languages and Semantic Web applications for digital libraries.Originality/valueThis paper identifies various Semantic Web applications which are useful for developing Semantic Digital Libraries.

The changing panorama of interactive storytelling: a review from locative to transmedia

Since the early days of civilization, the way we tell and consume stories defines how do we make sense of the world. Every new technology has an impact on our narrative artifacts. Nowadays ubiquitous digital technologies allow us to structure and distribute our narratives in novel and unprecedented ways. This paper discusses the evolution of interactive storytelling brought about by the advent of mobile Interfaces. I will exemplify this shift reviewing a series of case studies highlighted from my own research path. Keywords: transmedia storytelling; interactive narrative; locative media; location aware multimedia stories; context aware technologies; human computer interaction.