The social and cultural shaping of educational technology: Toward a social constructivist framework

The Social Construction of Technology (SCOT) theory offers a useful conceptual framework for examining the social and cultural factors that may contribute to or detract from the successful integration of computer technology into educational environments. This theory, which grew out of studies in the history of technology and the sociology of science, suggests methods for studying the phenomenon of technological development, such as identifying the relevant social groups involved in the development process and the factors that either leave the technology in a state of interpretive flexibility or bring the interpretation of the technology to closure. This paper uses a SCOT approach to explore how personal and institutional beliefs can shape the ways in which technologies are used by teachers and students, and to identify the social, epistemological, cognitive and motivational factors that need to be considered as computer technology becomes an integral part of the educational experience.     

Collective bread diaries: cultural identities in an artificial intelligence framework

AI & SOCIETY - The complex relationship between the current advancement of technology, including the wide scope of settings at which machinery plays substantial roles, and the cultural,...     

The imaginary,the computer,artificial intelligence: A cultural anthropological approach

The role of the cultural anthropologist in studying the results of information technology and artificial intelligence should be to contribute and reaffirm a sense of life which considers the human being in his or her totality, and to recognize the role of diversity and the imaginary. Technical revolutions have also proved to be cultural revolutions. The skills required by one culture, the identification and creation of problems and the solutions are interrelated. These interrelationships are worked out in a cultural context endowed with its own experiences, knowledge and needs which define and make it different from other societies. The advanced technologies require new competences and new skills. This paper examines imaginary from two different viewpoints: (a) the imaginary aspect of body-mind relations, influenced by research into artificial intelligence and its prospects for the future; and (b) the roles and forms assumed by the imaginary in human-computer relations.     

Human activity recognition in artificial intelligence framework: a narrative review

Human activity recognition (HAR) has multifaceted applications due to its worldly usage of acquisition devices such as smartphones, video cameras, and its ability to capture human activity data. While electronic devices and their applications are steadily growing, the advances in Artificial intelligence (AI) have revolutionized the ability to extract deep hidden information for accurate detection and its interpretation. This yields a better understanding of rapidly growing acquisition devices, AI, and applications, the three pillars of HAR under one roof. There are many review articles published on the general characteristics of HAR, a few have compared all the HAR devices at the same time, and few have explored the impact of evolving AI architecture. In our proposed review, a detailed narration on the three pillars of HAR is presented covering the period from 2011 to 2021. Further, the review presents the recommendations for an improved HAR design, its reliability, and stability. Five major findings were: (1) HAR constitutes three major pillars such as devices, AI and applications; (2) HAR has dominated the healthcare industry; (3) Hybrid AI models are in their infancy stage and needs considerable work for providing the stable and reliable design. Further, these trained models need solid prediction, high accuracy, generalization, and finally, meeting the objectives of the applications without bias; (4) little work was observed in abnormality detection during actions; and (5) almost no work has been done in forecasting actions. We conclude that: (a) HAR industry will evolve in terms of the three pillars of electronic devices, applications and the type of AI. (b) AI will provide a powerful impetus to the HAR industry in future.

     

The evaluation of a social adaptive website for cultural events

In this paper, we present an evaluation of a social adaptive website in the domain of cultural events, iCITY DSA, which provides information about cultural resources and events that promote the cultural heritage in the city of Turin. Using this evaluation, our objective was to investigate the actual usage of a social adaptive website, in an effort to discover the real behavior of users, the unforeseen correlations among user actions and the consequent interactive behavior, the accuracy of both system and social recommendations and their impact on the users themselves, and the role of tagging in the user modeling process. The major contributions of the paper are manifold: insights into user interactions with social adaptive systems; guidelines for future designs; evaluation of the tagging activity and tag meanings in relation to the application domain and thus their impact on the representation of the user model; and a demonstration of how a combination and interplay of evaluation methodologies (e.g., quantitative and qualitative) can enhance our comprehension of evaluation data.     

The design and evaluation of interactive systems with perceived social intelligence: five challenges

This paper reflects on discussions within the Social Intelligence for Tele-healthcare (SIFT) project. The SIFT project aims to establish a model of social intelligence, to support the user-centred design of social intelligence in interactive systems. The conceptual background of social intelligence for the SIFT project is presented. Five challenges identified for the design of socially aware interactions are described, and their implications are discussed.     

Designing convivial digital cities: a social intelligence design approach

Conviviality has been identified as a key concept necessary to web communities, such as digital cities, and while it has been simultaneously defined in literature as individual freedom realized in personal interdependence, rational and cooperative behavior and normative instrument, no model for conviviality has yet been proposed for computer science. In this article, we raised the question whether social intelligence design could be used to designing convivial digital cities. We first looked at digital cities and identified, from a social intelligence design point of view, two main categories of digital cities: public websites and commercial websites; we also noted the experimental qualities of digital cities. Second, we analyzed the concept of conviviality for social science, multi-agent systems and intelligent interface; we showed the distinction among various kinds of use of conviviality, the positive outcomes such as social cohesion, trust and participation but also the negative aspects that emerged when conviviality became an instrument of power relations. Fourth, we looked at the normative aspect of conviviality as described in the literature and found that social norms for conviviality paralleled legal and institutional norms for digital cities. Finally, as a first step toward obtaining measures for conviviality, we presented a case study describing agents and user’s interactions using dependence graphs. We also presented an analysis of conviviality requirements and described our plan and methodology for designing convivial digital cities.     

Design and development of a unified framework towards swarm intelligence

The application of swarm intelligence (SI) in the optimization field has been gaining much popularity, and various SI algorithms have been proposed in last decade. However, with the increased number of SI algorithms, most research focuses on the implementation of a specific choice of SI algorithms, and there has been rare research analyzing the common features among SI algorithms coherently. More importantly, no general principles for the implementation and improvement of SI algorithms exist for solving various optimization problems. In this research, aiming to cover such a research gap, a unified framework towards SI is proposed inspired by the in-depth analysis of SI algorithms. The unified framework consists of the most frequently used operations and strategies derived from typical examples of SI algorithms. Following the proposed unified framework, the intrinsic features of SI algorithms can be understood straightforwardly and the implementation and improvement of SI algorithms can be achieved effortlessly, which is of great importance in practice. The numerical experiments examine the effects of the possible strategies employed in the unified framework, and provide pilot attempts to validate the performance of different combinations of strategies, which can not only facilitate specific SI algorithm application, but also can motivate SI algorithm innovation.     

The evolution of an object-oriented compiler framework

Increasing code reuse in software systems is an important way to decrease development and maintenance costs, reduce the time required to respond to new requirements, and significantly advance the feasible complexity limits for new systems. Object-oriented programming languages and environments provide fundamental support for truly reusable code through abstraction, inheritance, and polymorphism. Reusable code is a prerequisite for a significantly more powerful concept: reusable design. Frameworks of resuable design abstractions are difficult to create and typically evolve over a long period of use and refinement. Thus, it is important to understand how systems evolve and how this evolution can be directed to achieve the best results. This article illustrates some of the standard transformations, called refactorings, that occur in object-oriented systems as they evolve by describing the creation and evolution of a framework for building general-purpose string-to-object translators. It reflects our experiences with object-oriented compilers over a five year period while working on the Typed Smalltalk compiler project.     

The piping of thought and the need for a permanent monitoring of the cultural effects of artificial intelligence

Over the years, AI has undergone a transformation from its original aim of producing an intelligent machine to that of producing pragmatic solutions of problems of the market place. In doing so, AI has made a significant contribution to the debate on whether the computer is an instrument or an interlocutor. This paper discusses issues of problem solving and creativity underlying this transformation, and attempts to clarify the distinction between theresolutive intelligence andproblematic intelligence. It points out that the advance of intelligent technology, with its failure to make a clear distinction betweenresolutive andcreative intelligence, could contribute to the further cultural marginalisation of human activities not connected with production. A further danger is that AI products may suffer a further loss of social reputation and prestige for those activities for which it is not possible to build artificial devices.     

The aesthetic turn in sonification towards a social and cultural medium

The public release of datasets on the internet by government agencies, environmental scientists, political groups and many other organizations has fostered a social practice of data visualization. The audiences have expectations of production values commensurate with their daily experience of professional visual media. At the same time, access to this data has allowed visual designers and artists to apply their skills to what was previously a field dominated by scientists and engineers. The ‘aesthetic turn’ in data visualization has sparked debates between the new wave and older more scientifically grounded schools of thought on the topic. Sonification is not as well known or commonly practiced as visualization. But sound is a naturally affective, aesthetic and cultural medium. The extension of the aesthetic turn to sonification could transform this field from a scientific curiosity and engineering instrument into a popular mass medium. This paper proposes that a design approach can facilitate an aesthetic turn in sonification that integrates aesthetics and functionality by dissolving divisions between scientific and artistic methods. The first section applies the design perspective to the definition of sonification by replacing the linguistic concept of representation with non-verbal concept of functionality. The next section describes applications of the TaDa design method that raised aesthetic issues particular to sonification practice. The final section proposes a pragmatic aesthetics that distinguishes sonification from the auditory sciences and sonic arts. A design perspective may lead to a future where the general public tunes into pop sonifications for listening enjoyment as well as useful information about the world.     

Improved framework for particle swarm optimization: Swarm intelligence with diversity-guided random walking

The work and contribution of this study is not only to devise an improved PSO framework that is capable of wider search area and better fitness values, but also to realize a system that possesses the particle swarm intelligence via high diversity preserving and individual random walking. The purpose of this study is to interpret the processes of how to approach this framework, which consists of bilateral objective function (BOF) and random walking swarm intelligence (RW-PSO), and to provide the distinction from the current problems of PSO technique. Hence, this paper will present the ability of particles escaping from local optimum can be greatly improved because of the increase of exploration stage and scope and the global optimum can be obtained easily with the hybrid of BOF and RWSI, which may involve in searching for the solution from a more complicated test function. Subsequently, the results revealed the advantages of the proposed framework for improving the particle swarm optimization: (a) preserving the simple spirit of the conventional PSO; (b) achieving effective solutions for benchmark functions efficiently; (c) increasing no additional parameters to gain fitness improvement. Moreover, the superiority of the proposed framework has also been demonstrated the results via seven test functions defined to simulate some of complicated real-world problems and the better performance according to the experimental results with several benchmark functions.     

Result diversification in social image retrieval: a benchmarking framework

This article addresses the diversification of image retrieval results in the context of image retrieval from social media. It proposes a benchmarking framework together with an annotated dataset and discusses the results achieved during the related task run in the MediaEval 2013 benchmark. 38 multimedia diversification systems, varying from graph-based representations, re-ranking, optimization approaches, data clustering to hybrid approaches that included a human in the loop, and their results are described and analyzed in this text. A comparison of the use of expert vs. crowdsourcing annotations shows that crowdsourcing results have a slightly lower inter-rater agreement but results are comparable at a much lower cost than expert annotators. Multimodal approaches have best results in terms of cluster recall. Manual approaches can lead to high precision but often lower diversity. With this detailed results analysis we give future insights into diversity in image retrieval and also for preparing new evaluation campaigns in related areas.     

Visualizing the evolution of a web-based social network

Weblogs are dynamic websites updated via easy-to-use content management systems and organized as a set of chronologically ordered stories, frequently built around a link or including links to other weblogs. Since they are managed by individuals, their links tend to mirror or, in some cases, establish new types of social relations, thereby creating a social network. Studying the evolution of this network allows the discovery of emerging social structures and their growth trends. In this paper, we demonstrate the advantages of using the self-organizing maps (SOM) to visualize the evolution of a social network formed by a set of blogs, from their beginning to their current state. By observing the position a weblog is mapped to, it is easy to see what communities it belongs to nowadays, and how and when it became a part of those communities. The proposed procedure gives some insight on how communities are formed and have evolved. In this study, we apply this method to Blogalia, a blog-hosting site from which we have obtained a complete set of data and, by using SOM projections, we have drawn some conclusions on what drives the evolution of its implicit social network.     

From social computing to reflexive collective intelligence: The IEML research program

The IEML research program promotes a radical innovation in the notation and processing of semantics. IEML (Information Economy MetaLanguage) is a regular language that provides new methods for semantic interoperability, semantic navigation, collective categorization and self-referential collective intelligence. This research program is compatible with the major standards of the Web of data and is in tune with the current trends in social computing.The paper explains the philosophical relevance of this new language, expounds its syntactic and semantic structures and ponders its possible implications for the growth of collective intelligence in cyberspace.     

Awareness systems and the role of social intelligence

This paper discusses awareness systems for supporting informal social relationships, focusing on some of they key concerns for designers and researchers. The discussion is general, but examples highlight the design issues discussed and summarize related empirical results. The paper argues in favor of automated capture of awareness information and suggests that social intelligence is relevant (a) as a design and evaluation criterion for such systems and (b) as a mechanism for supporting users in managing the information sharing by means of awareness systems.