In this paper we review some problems with traditional approaches for acquiring and representing knowledge in the context of developing user interfaces. Methodological implications for knowledge engineering and for human-computer interaction are studied. It turns out that in order to achieve the goal of developing human-oriented (in contrast to technology-oriented) human-computer interfaces developers have to develop sound knowledge of the structure and the representational dynamics of the cognitive system which is interacting with the computer.We (...) show that in a first step it is necessary to study and investigate the different levels and forms of representation that are involved in the interaction processes between computers and human cognitive systems. Only if designers have achieved some understanding about these representational mechanisms, user interfaces enabling individual experiences and skill development can be designed. In this paper we review mechanisms and processes for knowledge representation on a conceptual, epistemological, and methodologieal level, and sketch some ways out of the identified dilemmas for cognitive modeling in the domain of human-computer interaction. (shrink)

This project was undertaken to develop a telelearning knowledge base aimed at making specialized telelearning knowledge accessible to non-specialized practitioners in the field. The challenge stems from a rationale related to a user-centered approach for the software design process, which is focused on learning in the context of professional practice, the bridge to be built between expert and practitioner knowledge, as well as the knowledge valorization of the latter. In order to take into account users (...) and their situated actions, a usage study was integrated in the analysis phase. This study allows the creation of procedural and contextual telelearning models, and also lists of needs. These results serve as a basis for formulating guidelines for the development of ontologies, for the design of the telelearning knowledge base user interface and telelearning knowledge base environmental description. This paper presents the guidelines and orientations derived from these models. (shrink)

Expert systems have had little impact as computing artifacts. In this paper we argue that the reason for this stems from the underlying assumption of most builders of expert systems that an expert system needs to acquire information and to control the interaction between the human user and itself. We show that this assumption has serious linguistic and usability flaws which diminish the likelihood of producing socially acceptable expert systems. We propose a reversal of this paradigm, for the design (...) of expert systems, by assuming that it is the human user who needs to acquire information and to control the interaction between themselves and the system. (shrink)

With the rise of research impact as a ‘third’ space (next to research and teaching) within the universities in the United Kingdom and beyond, academics are increasingly expected to not only produce research but also engage in brokering knowledge beyond academia. And yet little is known about the ways in which academics shape their practices in order to respond to these new forms of institutionalised expectations and make sense of knowledge brokering as a form of academic practice. Drawing (...) on 51 qualitative interviews with researchers and research users involved in two large knowledge brokering initiatives in the UK, this study identifies four repertoires of co-production practices: (i) _Challenge_ to the existing policy framework, (ii) _Deliberation_ between diverse stakeholders, (iii) _Evidence intervention_ producing of actionable knowledge, and (iv) _Advocacy_ for specific evidence-based options. By exploring knowledge brokering as navigation of different knowledge production regimes – traditionally academic and policy-oriented – the paper contributes to the existing debates by providing insights into the nature of navigating science-policy interactions as a process of epistemological bricolage, requiring an assemblage of different meanings, values and practices into new repertoires of practice. Importantly, the choice of a repertoire is not limited to the individual choice of a researcher but rather, it is shaped by the broader institutional context of higher education, risking _instrumental bias_ in which practices oriented towards practical solutions are incentivised over critical or participatory forms of engagement. (shrink)

This paper presents an approach to managing knowledge specific to a particular location for complex instruments. The goal is to improve the knowledge communication between experts and end-users of scientific instruments. We propose a computational framework that integrates augmented reality and augmented virtuality as interface for manipulating knowledge. The augmented virtuality-based interface can be produced and distributed without extra costs. It allows knowledge dissemination at a larger scale. The prominent feature of our model is that (...) the knowledge representation is independent from those interfaces. A preliminary version of our framework has been implemented and deployed in customers’ environments. (shrink)

The paper focuses on a difficult problem when formalizing knowledge: What about the possible concepts that didn’t make it into the formalization? We call such concepts the unconsidered context of the formalized knowledge and argue that erroneous and inadequate behavior of systems based on formalized knowledge can be attributed to different states of the unconsidered context; either while formalizing or during application of the formalization. We then propose an automatic strategy to identify different states of unconsidered (...) context inside a given formalization and to classify which parts of the formalization to use in a given application situation. The goal of this work is to uncover unconsidered context by observing sucess and failure of a given system in use. The paper closes with the evaluation of the proposed procedures in an error diagnosis scenario featuring a plan based user interface. (shrink)

Brain–computer interfaces (BCIs) utilizing machine learning techniques are an emerging technology that enables a communication pathway between a user and an external system, such as a computer. Owing to its practicality, electroencephalography (EEG) is one of the most widely used measurements for BCI. However, EEG has complex patterns and EEG-based BCIs mostly involve a cost/time-consuming calibration phase; thus, acquiring sufficient EEG data is rarely possible. Recently, deep learning (DL) has had a theoretical/practical impact on BCI research because (...) of its use in learning representations of complex patterns inherent in EEG. Moreover, algorithmic advances in DL facilitate short/zero-calibration in BCI, thereby suppressing the data acquisition phase. Those advancements include data augmentation (DA), increasing the number of training samples without acquiring additional data, and transfer learning (TL), taking advantage of representative knowledge obtained from one dataset to address the so-called data insufficiency problem in other datasets. In this study, we review DL-based short/zero-calibration methods for BCI. Further, we elaborate methodological/algorithmic trends, highlight intriguing approaches in the literature, and discuss directions for further research. In particular, we search forgenerative model-based andgeometric manipulation-based DA methods. Additionally, we categorize TL techniques in DL-based BCIs intoexplicitandimplicitmethods. Our systematization reveals advances in the DA and TL methods. Among the studies reviewed herein, ~45% of DA studies used generative model-based techniques, whereas ~45% of TL studies used explicit knowledge transferring strategy. Moreover, based on our literature review, we recommend an appropriate DA strategy for DL-based BCIs and discuss trends of TLs used in DL-based BCIs. (shrink)

The issue on the role of users in knowledge-based systems can be investigated from two aspects: the design aspect and the functionality aspect. Participatory design is an important approach for the first aspect while system adaptability supported by user modelling is crucial to the second aspect. In the article, we discuss the second aspect. We view a knowledge-based computer system as the partner of users' problem-solving process, and we argue that the system functionality can be (...) enhanced by adapting the behaviour of the system to fit the needs of users with different profiles. We emphasise that the notion of user modelling is crucial to realise such kind of flexibility. User modelling will be beneficial to the user, not only through adaptive interfaces, but also through the enhanced system adaptability. In a knowledge-based system, by incorporating user models, searching can be reduced to a smaller portion in the knowledge-base, thus enhancing system functionality. In other words, user modelling is incorporated to realise flexible inference control to achieve system adaptability. An example is provided, and a general conceptual model is sketched. We conclude this paper by emphasising that the design aspect and functionality aspect are complementary. Achieving enhanced functionality through joint efforts of computers and human users indicates a kind of participatory execution of computerised problem-solving or participatory problem-solving. (shrink)

Nowadays, higher education worldwide is affected by the COVID-19 pandemic. It has affected students’ attendance in the universities and causes universities to close down in more than 190 countries. On the other hand, novice engineers studied only a few lectures related to highway engineering. Their lectures have included very little knowledge about asphalt pavement construction as highway engineering consists of many areas that are not studied in detail during their studying years subject to their traditional education. Due to all (...) mentioned, a new drive to promote online learning paves the way to evaluate our future approach to curriculum development and delivery of educational materials for engineering courses. However, experts can offer solutions to these problems using their past experience. Hence, a system that allows experts to share their experience with other engineers after completing a project is needed. Nevertheless, the web-based expert system for maintaining flexible pavement problems in tropical regions designed in this study is a novel concept. Prior to developing this system, the need for such a system was determined through literature review and validated through a questionnaire survey. Experts were interviewed, and a questionnaire survey was conducted to construct the knowledge base of the system. Knowledge was presented as rules and coded in software through PHP programming. Web pages that support the user interface were designed using a framework that consists of CSS, HTML, and J-Query. Furthermore, the system was tested by an array of users engaged in highway engineering, namely, experts, teaching experts, novice engineers, and students. The mean values of the overall system evaluation performed by 20 users using a five-point Likert scale were 4, 4.5, 3.75, 4.25, 5, 4, and 3.5. Expert and user satisfaction prove the effectiveness of the proposed system. (shrink)

Juris-Data is one of the largest case-study base in France. The case studies are indexed by legal classification elaborated by the Juris-Data Group. Knowledge engineering was used to design an intelligent interface for information retrieval based on this classification. The aim of the system is to help users find the case-study which is the most relevant to their own.The approach is potentially very useful, but for standardising it for other legal document bases it is necessary to extract a (...) legal classification of the primary documents. Thus, a methodology for the construction of these classifications was designed together with a framework for index construction. The project led to the implementation of a Legal Case Studies Engineering Framework based on the accumulated experimentation and the methodologies designed. It consists of a set of computerised tools which support the life-cycle of the legal document from their processing by legal experts to their consultation by clients. (shrink)

This paper presents an in-depth study and analysis of the emotional classification of EEG neurofeedback interactive electronic music compositions using a multi-brain collaborative brain-computer interface. Based on previous research, this paper explores the design and performance of sound visualization in an interactive format from the perspective of visual performance design and the psychology of participating users with the help of knowledge from various disciplines such as psychology, acoustics, aesthetics, neurophysiology, and computer science. This paper proposes a specific mapping (...) model for the conversion of sound to visual expression based on people’s perception and aesthetics of sound based on the phenomenon of audiovisual association, which provides a theoretical basis for the subsequent research. Based on the mapping transformation pattern between audio and visual, this paper investigates the realization path of interactive sound visualization, the visual expression form and its formal composition, and the aesthetic style, and forms a design expression method for the visualization of interactive sound, to benefit the practice of interactive sound visualization. In response to the problem of neglecting the real-time and dynamic nature of the brain in traditional brain network research, dynamic brain networks proposed for analyzing the EEG signals induced by long-time music appreciation. During prolonged music appreciation, the connectivity of the brain changes continuously. We used mutual information on different frequency bands of EEG signals to construct dynamic brain networks, observe changes in brain networks over time and use them for emotion recognition. We used the brain network for emotion classification and achieved an emotion recognition rate of 67.3% under four classifications, exceeding the highest recognition rate available. (shrink)

With the widespread use of artificial intelligence, it becomes crucial to provide information about these systems and how they are used. Governments aim to disclose their use of algorithms to establish legitimacy and the EU AI Act mandates forms of transparency for all high-risk and limited-risk systems. Yet, what should the standards for transparency be? What information is needed to show to a wide public that a certain system can be used legitimately and responsibly? I argue that process-based approaches (...) fail to satisfy, as knowledge about the development process is insufficient to predict the properties of the resulting system. Current outcome-based approaches [Mitchell et al., 2019; Loi et al., 2021] are also criticized for a lack of attention to the broader socio-technical system and failure to account for empirical results that show that people care about more than just the outcomes of a process [as reported by Meyerson et al. (Procedural justice and relational theory: Empirical, philosophical, and legal perspectives, Taylor & Francis, 2021)]. Instead, I propose value-based transparency, on which the information we need to provide is what values have been considered in the design and how successful these have been realized in the final system. This can handle the objections to other frameworks, matches with current best practices on the design of responsible AI and provides the public with information on the crucial aspects of a system’s design. (shrink)

Developing countries are endeavoring to advance into the 21st century information age. Their progress, however, is hamstrung by the dire lack of trained, skilled and knowledgeable IS workers who are able to interact with online and off‐line information sources. These countries can tap from the rich intellectual capital lying dormant within the ranks of disabled people to boost the pool of IS workers in their societies. However, before developing countries can draw on the information systems capabilities of disabled workers, these (...) workers themselves must be able to function at par with their able‐bodied counterparts as information workers. This presupposes the availability of special‐purpose information systems devices and approaches developed for disabled users. In this paper, therefore, we examine several issues that are pertinent to IS and disabled people in developing countries, and propose an integrated infrastructure to enhance the interaction of disabled people with on‐line information sources. The study includes issues related to the suitability of different interaction methodologies and technologies for people with disabilities. Additionally, we propose the design of customized interfaces that can be used by disabled people to develop Web‐based database applications and to access and query on‐line databases. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, (...) and also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

The a Everyday language computing is a new computational paradigm that all people, from small children to aged persons, can access and use computing systems with his/her own everyday language. As a way to realize ELC, we proposed a framework of language-based operating system, and we are now working intensively to develop the fundamental part of it. In this paper, we report our status of research on LOS. One of the main components of LOS is the semiotic base, which (...) is a database of linguistic knowledge based on Systemic Functional Linguistic Theory. We explain the architecture of the semiotic base and corpus experiments conducted to determine the contents of it. A client's secretary agent is a user interface of LOS which realizes everyday language communication between a user and the system. We explain a client model that realizes personalized communication and the plan module that manages the structure of dialogue. In LOS, all kinds of information processing are done through everyday language. Language protocol is a computer protocol based on everyday language, and language-based application is a kind of agent software that provides services through language. We explain the characteristics of language protocol, the structure of language-based application programming interface, and text interpretation process of language-based applications. Finally, we discuss prospects of this project and mention future work that remains to be done. We argue that by processing meaning of language rather than processing numbers, we attempt to provide a more human-like computer system and an intelligent computational environment to all people. (shrink)

The Knowledge Based System for Diagnosing Breast Cancer is used to assist medical students to improve their education on diagnosis and counseling the process of analyzing the biopsy image of the microscope, determining the type of tumor and the treatment method for each case and identifying the disease related questions. According to the Ministry of Health in its annual report in Gaza, between 2009 and 2014 there are 7069 cases of breast cancer, and in 2014 there are 1502 (...) cases of breast cancer . We are now in the age of visual information where 65% of the populations are visual learners; the Knowledge Based System is the easiest way to ensure students remember the information in the long term, using visual and textual information. The Knowledge Based System has an easy-to-use interface to help students diagnose the disease and enhance their information about the disease; the system can be used on smart phones. This Knowledge Based System can be divided into three main parts: The first part is specific questions for the patient, to help student to know questions type. The second part is the process of analyzing the biopsy sample image, to see if the biopsy image is intact or infected. The last part is the video shows ways to treat breast cancer in the form of animation. (shrink)

Knowledge-Based Systems (KBS) are developed to contain substantial elements of human knowledge and expertise in a well-defined domain, and use these to support user or expert tasks. Issues related to the social and organisational contexts of these systems are widely acknowledged to be particularly critical to their success. However, methodology proposals usually stop short of adequately handling soft and unstructured data that frame the contexts of use. The handling of qualitative data needs to be done in (...) a way that directly impinges on the wider Knowledge-Based System engineering processes and decisions. In this paper, we discuss the nature of context-sensitive issues, and describe a methodological approach for resolving them through the rigorous analysis of qualitative data, using a methodology which is based upon the Grounded Theory method from the social sciences. (shrink)

The Knowledge-Based Bio-Economy has gained prominence as an agricultural R&D agenda of the European Union. Specific research policies are justified as necessary to create a KBBE for societal progress. Playing the role of a master narrative, the KBBE attracts rival visions; each favours a different diagnosis of unsustainable agriculture and its remedies in agro-food innovation. Each vision links a technoscientific paradigm with a quality paradigm: the dominant life sciences vision combines converging technologies with decomposability, while a marginal one (...) combines agro-ecology with integral product integrity. From these divergent visions, rival stakeholder networks contend for influence over research policies and priorities, especially within the Framework Programme 7 on Food, Agriculture, Fisheries and Biotechnology, which has aimed to promote a Knowledge-Based Bio-Economy. Although the FAFB programme has favoured a life sciences vision, agro-ecological approaches have gained a presence, thus overcoming their general lock-out from agricultural research agendas. In their own way, each rival paradigm emphasises the need for collective systems to gather information for linking producers with users, as a rationale for the public sector to fund distinctive research priorities. (shrink)

Driving a car is a highly visual task. Despite the trend towards increased driver assistance and autonomous vehicles, drivers still need to interact with the car for both driving and non-driving relevant tasks, at times simultaneously. The often-resulting high cognitive load is a safety issue which can be addressed by providing the driver with alternative feedback modalities, such as haptics. Recent trends in the automotive industry are moving towards the seamless integration of control elements through touch-sensitive surfaces. Psychological knowledge (...) on optimally utilizing haptic technologies remains limited. The literature on automotive haptic feedback consists mainly of singular findings without putting them into a broader user context with respect to haptic design of interfaces. Moreover, haptic feedback has primarily been limited to the confirmation of control actions rather than the searching or finding of control elements, the latter of which becomes particularly important considering the current trends. This paper presents an integrated framework on haptic processing in automotive user interfaces and provides guidelines for haptic design of user interfaces in car interiors. (shrink)

In this paper, we describe a collaborative information retrieval method among personal repositorie and an implementation of the method on a personal agent framework. We propose a framework for personal agents that aims to enable the sharing and exchange of information resources that are distributed unevenly among individuals. The kernel of a personal agent framework is an RDF(resource description framework)-based information repository for storing, retrieving and manipulating privately collected information, such as documents the user read and/or wrote, email (...) he/she exchanged, web pages he/she browsed, etc. The repository also collects annotations to information resources that describe relationships among information resources and records of interaction between the user and information resources. Since the information resources in a personal repository and their structure are personalized, information retrieval from other users' is an important application of the personal agent. A vector space model with a personalized concept-base is employed as an information retrieval mechanism in a personal repository. Since a personalized concept-base is constructed from information resources in a personal repository, it reflects its user's knowledge and interests. On the other hand, it leads to another problem while querying other users' personal repositories; that is, simply transferring query requests does not provide desirable results. To solve this problem, we propose a query equalization scheme based on a relevance feedback method for collaborative information retrieval between personalized concept-bases. In this paper, we describe an implementation of the collaborative information retrieval method and its user interface on the personal agent framework. (shrink)

This paper describes an experimental platform for approximate knowledge databases called the Approximate Knowledge Database, based on a semantics inspired by rough sets. The implementation is based upon the use of a standard SQL database to store logical facts, augmented with several query interface layers implemented in JAVA through which extensional, intensional and local closed world nonmonotonic queries in the form of crisp or approximate logical formulas can be evaluated tractably. A graphical database design user (...) interface is also provided which simplifies the design of databases, the entering of data and the construction of queries. The theory and semantics for AKDBs is presented in addition to application examples and details concerning the database implementation. (shrink)

This article focuses on the problems of application of artificial intelligence to represent legal knowledge. The volume of legal knowledge used in practice is unusually large, and therefore the ontological knowledge representation is proposed to be used for semantic analysis, presentation and use of common vocabulary, and knowledge integration of problem domain. At the same time some features of legal knowledge representation in Ukraine have been taken into account. The software package has been developed to (...) work with the ontology. The main features of the program complex, which has a Web-based interface and supports multi-user filling of the knowledge base, have been described. The crowdsourcing method is due to be used for filling the knowledge base of legal information. The success of this method is explained by the self-organization principle of information. However, as a result of such collective work a number of errors are identified, which are distributed throughout the structure of the ontology. The results of application of this program complex are discussed in the end of the article and the ways of improvement of the considered technique are planned. (shrink)

This article describes a project which involved an attempt to integrate an expert system with a hypertext database of primary and secondary text materials. Our chosen legal domain was that of the Convention on Jurisdiction and the Enforcement of Judgments in Civil and Commercial Matters (The Brussels Convention 1968). In this article, we address three dimensions of system design. With regard to the legal dimension, we consider the choice of domain and the representation of both knowledge and data in (...) the system. On the technological dimension, we discuss the selection of software development tools and problems associated with keeping knowledge bases and databases up-to-date. Finally, we pay particular attention to the Cinderella dimension of legal expert system development — the user interface. (shrink)

The literature addressing bias and fairness in AI models (fair-AI) is growing at a fast pace, making it difficult for novel researchers and practitioners to have a bird’s-eye view picture of the field. In particular, many policy initiatives, standards, and best practices in fair-AI have been proposed for setting principles, procedures, and knowledge bases to guide and operationalize the management of bias and fairness. The first objective of this paper is to concisely survey the state-of-the-art of fair-AI methods and (...) resources, and the main policies on bias in AI, with the aim of providing such a bird’s-eye guidance for both researchers and practitioners. The second objective of the paper is to contribute to the policy advice and best practices state-of-the-art by leveraging from the results of the NoBIAS research project. We present and discuss a few relevant topics organized around the NoBIAS architecture, which is made up of a Legal Layer, focusing on the European Union context, and a Bias Management Layer, focusing on understanding, mitigating, and accounting for bias. (shrink)

This paper examines the study of computer basedperformance monitoring (CBPM) in the workplaceas an issue dominated by questions of ethics.Its central contention paper is that anyinvestigation of ethical monitoring practice isinadequate if it simply applies best practiceguidelines to any one context to indicate,whether practice is, on balance, ethical or not. The broader social dynamics of access toprocedural and distributive justice examinedthrough a fine grained approach to the study ofworkplace social relations, and workplaceidentity construction, are also important here. This has three (...) implications, which are examinedin the paper, and are as follows: First, thatit is vital for any empirical investigation ofthe ethics of CBPM practice to take intoaccount not only its compliance withpreexisting best practice guidelines, butalso the social relations which pervade thecontext of its application. Second, that thisnecessitates a particular epistemologicaltreatment of CBPM as something whose effectsare measurable and identifiable, as well assomething which has a socially constructedmeaning and is tropic in nature. Third, thatexisting debates against which this argument isset, which regard contrasting epistemologiesand ontologies as incompatible, should beaddressed, and an alternative introduced. Introducing situated knowledges (Haraway 1991)and material semiotic ontologies as such analternative, the paper proceeds to analyse theethics of a particular case of monitoringpractice, Norco. Drawing on Marx (1998) thepaper concludes that a fine grain analysis ofthe social is vital if we are to understandfully the ethics of monitoring in theworkplace. (shrink)

Few empirical studies have explored how different types of knowledge are associated with diverse objectivities and moral economies. Here, we examine these associations through an empirical investigation of the public policy debate in Israel around medical cannabis, which may be termed a contested medicine because its therapeutic effects, while subjectively felt by users, are not generally recognized by the medical profession. Our findings indicate that beneath the MC debate lie deep-seated issues of epistemology, which are entwined with questions of (...) ethics and morality. Whereas some stakeholder groups viewed evidence-based medicine and mechanical objectivity as the only valid knowledge base, others called for recognition of a particular experience-based knowledge, championing regulatory, administrative, or strong objectivity. Stakeholders’ interpretations of what should be considered as ethical courses of action corresponded to their epistemological views, with most criticizing the regulators for relying on regulatory subjectivity instead of objectivity. Our in-depth mapping of this arena allowed us not only to shed light on the emergence of the new entity called “medical cannabis” but also to reexamine the link between epistemology, ethics, and action and to elucidate how heterogeneous groups view the validity and objectivity of knowledge and the interface between medicine, science, and policy. (shrink)

It is held that the quality of the working environment afforded to an individual critically affects the health and well-being of that individual. This has consequences for both the quality of work which that individual can actually perform, and for the quality of the society in which that individual has a place. Conceptions of a fit working environment have led to the idea of a human-centred system, and this idea is applicable to the area of knowledge-based systems (KBS). (...) A system structure is discussed, which permits a human-centred approach to be adopted towards KBS design. It is held that the performance of such a system will generally exceed that of unaided KBS operation. (shrink)

Smartphone apps might offer a low-threshold approach to the detection of mental health conditions, such as depression. Based on the gathering of ‘passive data,’ some apps generate a user’s ‘digital phenotype,’ compare it to those of users with clinically confirmed depression and issue a warning if a depressive episode is likely. These apps can, thus, serve as epistemic tools for affected users. From an ethical perspective, it is crucial to consider epistemic injustice to promote socially responsible innovations within (...) digital mental healthcare. In cases of epistemic injustice, people are wronged specifically as epistemic agents, i.e., agents of the production and distribution of knowledge. We suggest that epistemic agency relies on different resource- and uptake-related preconditions which can be impacted by the functionality of passive self-tracking apps. We consider how this can lead to different forms of epistemic injustice (testimonial, hermeneutical, and contributory injustice) and analyze the influence of the apps’ use on epistemic practices on an individual level, in mental healthcare settings, and on the structural level. (shrink)

Despite recent efforts by the Artificial Intelligence (AI) community to move towards standardised procedures for documenting models, methods, systems or datasets, there is currently no methodology focused on use cases aligned with the risk-based approach of the European AI Act (AI Act). In this paper, we propose a new framework for the documentation of use cases that we call use case cards, based on the use case modelling included in the Unified Markup Language (UML) standard. Unlike other documentation (...) methodologies, we focus on the intended purpose and operational use of an AI system. It consists of two main parts: firstly, a UML-based template, tailored to allow implicitly assessing the risk level of the AI system and defining relevant requirements, and secondly, a supporting UML diagram designed to provide information about the system-user interactions and relationships. The proposed framework is the result of a co-design process involving a relevant team of EU policy experts and scientists. We have validated our proposal with 11 experts with different backgrounds and a reasonable knowledge of the AI Act as a prerequisite. We provide the 5 use case cards used in the co-design and validation process. Use case cards allows framing and contextualising use cases in an effective way, and we hope this methodology can be a useful tool for policy makers and providers for documenting use cases, assessing the risk level, adapting the different requirements and building a catalogue of existing usages of AI. (shrink)

This article argues that Aristotle depicts the soul as a detectable aspect of one’s being, is in the form of properties, and is discernable by cognition. Thus, he proposed that it is possible to discern the complementary connection between one’s being and the first cause of creation. Aristotle, like Kant, recognised that the age-old problem of scepticism posed a challenge to epistemological, ontological, and ethical claims. However, Kant did not develop his ideas regarding bridging the gap between what is demonstrable (...) and the first cause of creation – which resulted in perpetuating problems with scepticism and dualism. Consequently, in the effort to resolve the problems of scepticism and dualism, to promote self-actualisation, holistic well-being and, to help individuals realise their full potential there is a resurgence of Aristotle’s explanation of the relationship between self-knowledge and knowledge of the first cause of creation. This article contributes to the philosophy of science, the philosophy of the social sciences, the philosophy of religion, to contemporary literature on social psychology, and to literature addressing the interface between the sciences and perennial philosophy by demonstrating that Aristotle’s perennial wisdom and his epistemic approach – based on logical positivism – resolve problems related to scepticism, materialism, and dualism. (shrink)

In modern day technology, the level of knowledge is increasing day by day. This increase is in terms of volume, velocity, and variety. Understanding of such knowledge is a dire need of an individual to extract meaningful insight from it. With the advancement in computer and image-based technologies, visualization becomes one of the most significant platforms to extract, interpret, and communicate information. In data modelling, visualization is the process of extracting knowledge to reveal the detail data (...) structure and process of data. The proposed study aim is to know about the user knowledge, data modelling, and visualization by handling through the fuzzy logic-based approach. The experimental setup is validated through the data user modelling dataset available in the UCI web repository. The results show that the model is effective and efficient in situations where uncertainty and complexity arise. (shrink)

ABSTRACT This work presents efficient algorithms to update knowledge bases in the presence of integrity constraints. The algorithms ensure that the changes to the knowledge bases are minimal. We use the deductive database paradigm to represent knowledge. Minimality is defined as a natural partial order over possible models of the database and expresses a preference for data explicity stored in the database over the data deduced by default. This requirement seems rational for many applications and yet it (...) is hard to be expressed with a set of integrity constraints. We handle safe negation and local variables in the bodies of the rules. We tackle the issue of modifying the active domain (i.e. adding new constants or removing some of the constants which are present in the knowledge base), and we demonstrate how interaction with the user can be used to handle recursive definitions. (shrink)

This article examines whether a crowdsourced research participant who quits a study before its completion should receive any monetary compensation. The study is focused on participants recruited from Amazon Mechanical Turk, the most widely used crowdsourcing platform, and examines the tensions between participants’ rights and research objectives when online labor markets are used to recruit research participants. The discussion is informed by the recent literature on online research with crowdsourced samples, evidence from human subjects’ practices at top US universities, and (...) an ethical analysis based on distributive justice and consequentialism. The results indicate that compensating crowdsourced research subjects who fail to complete their participation jeopardizes the benefits of many who dutifully participate and undermines the overall value of the research enterprise for advancing knowledge. By examining the issue of payment for crowdsourced participants who drop out, this article sheds light on modern ethical issues in online research and offers practical recommendations for researchers and ethics scholars. (shrink)

Data analytics and data-driven approaches in Machine Learning are now among the most hailed computing technologies in many industrial domains. One major application is predictive analytics, which is used to predict sensitive attributes, future behavior, or cost, risk and utility functions associated with target groups or individuals based on large sets of behavioral and usage data. This paper stresses the severe ethical and data protection implications of predictive analytics if it is used to predict sensitive information about single individuals (...) or treat individuals differently based on the data many unrelated individuals provided. To tackle these concerns in an applied ethics, first, the paper introduces the concept of “predictive privacy” to formulate an ethical principle protecting individuals and groups against differential treatment based on Machine Learning and Big Data analytics. Secondly, it analyses the typical data processing cycle of predictive systems to provide a step-by-step discussion of ethical implications, locating occurrences of predictive privacy violations. Thirdly, the paper sheds light on what is qualitatively new in the way predictive analytics challenges ethical principles such as human dignity and the (liberal) notion of individual privacy. These new challenges arise when predictive systems transform statistical inferences, which provide knowledge about the cohort of training data donors, into individual predictions, thereby crossing what I call the “prediction gap”. Finally, the paper summarizes that data protection in the age of predictive analytics is a collective matter as we face situations where an individual’s (or group’s) privacy is violated using dataotherindividuals provide about themselves, possibly even anonymously. (shrink)

This article develops a conceptual framework for regulating Artificial Intelligence (AI) that encompasses all stages of modern public policy-making, from the basics to a sustainable governance. Based on a vast systematic review of the literature on Artificial Intelligence Regulation (AIR) published between 2010 and 2020, a dispersed body of knowledge loosely centred around the “framework” concept was organised, described, and pictured for better understanding. The resulting integrative framework encapsulates 21 prior depictions of the policy-making process, aiming to achieve (...) gold-standard societal values, such as fairness, freedom and long-term sustainability. This challenge of integrating the AIR literature was matched by the identification of a structural common ground among different approaches. The AIR framework results from an effort to identify and later analytically deduce synthetic, and generic tool for a country-specific, stakeholder-aware analysis of AIR matters. Theories and principles as diverse as Agile and Ethics were combined in the “AIR framework”, which provides a conceptual lens for societies to think collectively and make informed policy decisions related to what, when, and how the uses and applications of AI should be regulated. Moreover, the AIR framework serves as a theoretically sound starting point for endeavours related to AI regulation, from legislation to research and development. As we know, the (potential) impacts of AI on society are immense, and therefore the discourses, social negotiations, and applications of this technology should be guided by common grounds based on contemporary governance techniques, and social values legitimated via dialogue and scientific research. (shrink)

he World Wide Web is not just an electronic display of text and information. To navigate the WWW, readers need to make decisions about how to pursue and translate their decisions into physical actions. The Web is an interface. -/- Because the WWW shares common ground with both papertext writing and with software interfaces, theories and research from interface design, human-computer interaction, and cognitive science can be used to improve web page interfaces and make the design and presentation (...) of information more effective and usable for the reader. -/- One important similarity between writing and interface design is that both emphasize the need for a thorough audience analysis to determine the tasks, goals, and needs of the reader or user. Writers can apply their knowledge of techniques used to focus their writing on the needs of the user, such as reader analysis and reader-response criticisms, to the interface of the WWW document. (shrink)

The phenomenon of knowledge withholding is a vital issue that undermines knowledge sharing and innovation, hinders the development of offline and online organizations. Clarifying the relationship between influencing factors and knowledge withholding is significant to improve the phenomenon of knowledge withholding in offline and online organizations. Few types of research focus on the online virtual academic community and integrate the three factors of knowledge, individual, and environment to research knowledge withholding. To solve the limitation, (...) this research is based on sociology and psychology-related theories. The two dimensions of enabling and inhibition are divided into factors affecting knowledge withholding. An attempt is made to explore the path between the three types of factors influencing knowledge, individual and environment, and knowledge withholding. This study collected data from 616 users in China’s virtual academic community. It used a structural equation model combined with a cross-layer connected neural network to conduct an empirical analysis on the proposed hypothesis. The results found that: in the virtual academic community, knowledge power in the enabling dimension is the main reason for users to form knowledge psychological ownership, which affects users’ knowledge withholding. However, the effect of professional commitment on users’ knowledge psychological ownership is not significant. After SEM-ANN model fitting, the combined inhibitory effect of community privacy protection and community reciprocity on user knowledge withholding in the inhibition dimension is significantly improved. This research has a specific guiding significance for enhancing the knowledge withholding phenomenon of the virtual academic community and creating an excellent academic exchange atmosphere. (shrink)

This article draws on the concept of “performance” to argue for greater recognition of preexisting practices in the configuration of users. Through an Australian case study of a computer-based dairy decision-support system introduced via a two-day workshop to participating farmers, the article examines the assembling of imputed farmer users in the design of the software. It then explores how the designer and trainers attempt, through the decision-support system, to mobilize their network and align the imputed user with farmers' (...) preexisting performances. The case study highlights that attempts to make workable on-farm the “new” performances of users inscribed in the software are highly contingent on farmers' preexisting knowledge practices. These “old” performances problematize the designer's and trainers' version of imputed users and contribute to partial translation of the decision-support system. A focus on performance is argued to provide a useful starting point in mapping the effects of preexisting knowledge practices on attempts to enroll users in technosocial programs. (shrink)

Brain-computer interface based on steady-state visual evoked potential has been widely studied due to the high information transfer rate, little user training, and wide subject applicability. However, there are also disadvantages such as visual discomfort and “BCI illiteracy.” To address these problems, this study proposes to use low-frequency stimulations, which can simultaneously elicit visual evoked potential and pupillary response to construct a hybrid BCI system. Classification accuracy was calculated using supervised and unsupervised methods, respectively, and the hybrid accuracy (...) was obtained using a decision fusion method to combine the information of VEP and PR. Online experimental results from 10 subjects showed that the averaged accuracy was 94.90 ± 2.34% for the supervised method and 91.88 ± 3.68% for the unsupervised method, which correspond to the ITR of 64.35 ± 3.07 bits/min and 33.19 ± 2.38 bpm, respectively. Notably, the hybrid method achieved higher accuracy and ITR than that of VEP and PR for most subjects, especially for the short data length. Together with the subjects’ feedback on user experience, these results indicate that the proposed h-BCI with the low-frequency stimulation paradigm is more comfortable and favorable than the traditional SSVEP-BCI paradigm using the alpha frequency range. (shrink)

In this paper, the results of a pilot interview study with 19 subjects participating in an EEG-based non-invasive brain–computer interface (BCI) research study on stroke rehabilitation and assistive technology and of a survey among 17 BCI professionals are presented and discussed in the light of ethical, legal, and social issues in research with human subjects. Most of the users were content with study participation and felt well informed. Negative aspects reported include the long and cumbersome preparation procedure, discomfort with (...) the cap and the wet electrodes, problems concerning BCI control, and strains during the training sessions. In addition, some users reflected on issues concerning system security. When asked for morally problematic issues in this field of non-invasive BCI research, the BCI professionals stressed the need for correct information transfer, the obligation to avoid unrealistic expectations in study participants, the selection of study participants, benefits and strains of participation, BCI illiteracy, the possibility of detrimental brain modifications induced by BCI use, and problems that may arise at the end of the trials. Furthermore, privacy issues were raised. Based on the results obtained, psychosocial and ethical aspects of EEG-based non-invasive BCI research are discussed and possible implications for future research addressed. (shrink)

Resumen: La presente investigación tuvo por objetivo analizar los usos del discurso institucional de universidades chilenas autodefinidas como complejas en relación con la organización del conocimiento e iniciativas intertransdisciplinarias relevantes informadas a nivel de estructuras estáticas y noticias en sitios web oficiales de cada una de ellas. En este contexto y mediante un Análisis Crítico del Discurso, se indaga en el despliegue de estrategias comunicativas, la producción y difusión del discurso institucional, como asimismo, su exposición y disposición en las páginas (...) web. Desde esta base se contribuye con información cualitativa a la discusión en torno a los formatos y dispositivos de comunicación social referidos a las nociones de inter y transdisciplina en el contexto de la educación superior en el país. Los resultados dan cuenta de la emergencia, centralidad y valor comunicacional de la prospectiva inter y transdisciplinaria en el contexto universitario chileno, no obstante, también evidencian las condicionantes epistemológicas y metodológicas para su despliegue organizacional crítico y sostenible.: The following investigation had as an objective to analyse the usages of the Institutional Discourse from Chilean universities self-described as complex, in relation to the Knowledge Organization and relevant inter-disciplinaries initiatives that are informed at the level of static structures and pieces of news published on each official website. In this context, and, through a Critical Discourse Analysis, the communicative strategies deployment is explored, as well as the production and broadcasting of their institutional discourse. Likewise, their exposure and disposal on web pages. On this basis, the qualitative information is contributed to the discussion around the formats and social communication devices, referred to the concepts of inter and trans-disciplines in the context of higher education in the nation. The results, reflect the emergency, centrality and communicational value of the inter and trans-disciplinary prospective in the Chilean university context. However, the epistemological and methodological conditions are evidenced for its organizational, critical, and sustainable deployment. (shrink)

In this paper, a multiagent simulation framework for design of micro chemical processes is proposed. In order to simulate performance of micro chemical device and process behavior under various operational conditions and micro chemical devices, an agent dynamically acquires simulation models collaborating with a DB-agent which relates to a XML-based knowledge database "MDCOs". The classifications of micro chemical devices and simulation models are carried out. Thus the agents can use every simulation models acquiring from DB through the implemented (...) methods declared in the interfaces, which was defined as functions of micro chemical devices. AHP is adopted to multi-objective evaluation of simulation models to select the preferable simulation model responding to the various objectives of simulation, which are set by the users. (shrink)

The paper aims to examine the construction, circulation, and transformation of knowledge about man (anthropological knowledge) in human-technology interaction in the 20th century. The analysis focuses on the prerequisites of the industrial working world and its implicit knowledge about human beings. However, the basis and starting point of technical adaptation is usually ignored: The concepts of “man” and the anthropological knowledge gained experimentally from a anthropocentric designed interface. Based on the concept of an intuitive interface (...) design this problem will be investigated. The questions posed by this article as well as the objectives associated with them open up an interdisciplinary framework between philosophy of technology, philosophical anthropology and history of science given that they not only focus – by means of historical reconstruction – on historical changes in technological developments. They also address the issue of generation and transformation of anthropological knowledge in the definitions and interactions of “man” and “technology”. (shrink)

People with post-stroke motor aphasia know what they would like to say but cannot express it through motor pathways due to disruption of cortical circuits. We present a theoretical background for our hypothesized connection between attention and aphasia rehabilitation and suggest why in this context, Brain-Computer Interfaces (BCI) use might be beneficial for patients diagnosed with aphasia. Not only could BCI technology provide a communication tool, it might support neuronal plasticity by activating language circuits and thereby boost aphasia recovery. (...) However, stroke may lead to heterogeneous symptoms that might hinder BCI use which is why the feasibility of this approach needed to be investigated first. In this pilot study, we included five participants diagnosed with post-stroke aphasia. Four participants were initially unable to use the visual P300 speller paradigm. By adjusting the paradigm to their needs, all participants could successfully learn to use the speller for communication with accuracies up to 100%. We describe necessary adjustments to the paradigm and present future steps to further investigate the here presented approach. (shrink)

Climate change and sustainability science have become more international in scope and transdisciplinary in nature, in response to growing expectations that scientific knowledge directly informs collective action and transformation. In this article, we move past idealized models of the science–policy interface to examine the social processes and geopolitical dynamics of knowledge mobilization. We argue that sociotechnical imaginaries of transdisciplinary research, deployed in parallel to “universal” regimes of evidence-based decision-making from the global North, conceal how international collaborations of (...) scientists and societal actors actually experience knowledge mobilization, its systemic barriers, and its paths to policy action. Through ethnographic study of a transdisciplinary research program in the Americas, coupled with in-depth analysis of Colombia, we reveal divergences in how participants envision and experience knowledge mobilization and identify persistent disparities that diminish the capacity of researchers to influence decision-making and fit climate knowledge within broader neoliberal development paradigms. Results of the study point to a plurality of science–policy interface, each shaped by national sociotechnical imaginaries, development priorities, and local social orders. We conclude that a geopolitical approach to transdisciplinary science is necessary to understand how climate and sustainability knowledge circulates unevenly in a world marked by persistent inequality and dominance. (shrink)