Results for 'Affective Computing'

950 found
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  1. A computational model of affects.Mika Turkia - 2009 - In D. Dietrich, G. Fodor, G. Zucker & D. Bruckner (eds.), Simulating the mind: A technical neuropsychoanalytical approach. pp. 277-289.
    Emotions and feelings (i.e. affects) are a central feature of human behavior. Due to complexity and interdisciplinarity of affective phenomena, attempts to define them have often been unsatisfactory. This article provides a simple logical structure, in which affective concepts can be defined. The set of affects defined is similar to the set of emotions covered in the OCC model, but the model presented in this article is fully computationally defined, whereas the OCC model depends on undefined concepts. Following (...)
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  2. Affective Artificial Agents as sui generis Affective Artifacts.Marco Facchin & Giacomo Zanotti - 2024 - Topoi 43 (3).
    AI-based technologies are increasingly pervasive in a number of contexts. Our affective and emotional life makes no exception. In this article, we analyze one way in which AI-based technologies can affect them. In particular, our investigation will focus on affective artificial agents, namely AI-powered software or robotic agents designed to interact with us in affectively salient ways. We build upon the existing literature on affective artifacts with the aim of providing an original analysis of affective artificial (...)
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  3. Easy's gettin' harder all the time: The computational theory and affective states.Jason Megill & Jon Cogburn - 2005 - Ratio 18 (3):306-316.
    We argue that A. Damasio’s (1994) Somatic Marker hypothesis can explain why humans don’t generally suffer from the frame problem, arguably the greatest obstacle facing the Computational Theory of Mind. This involves showing how humans with damaged emotional centers are best understood as actually suffering from the frame problem. We are then able to show that, paradoxically, these results provide evidence for the Computational Theory of Mind, and in addition call into question the very distinction between easy and hard problems (...)
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  4. Towards a computational theory of mood.Laura Sizer - 2000 - British Journal for the Philosophy of Science 51 (4):743-770.
    Moods have global and profound effects on our thoughts, motivations and behavior. To understand human behavior and cognition fully, we must understand moods. In this paper I critically examine and reject the methodology of conventional ?cognitive theories? of affect. I lay the foundations of a new theory of moods that identifies them with processes of our cognitive functional architecture. Moods differ fundamentally from some of our other affective states and hence require distinct explanatory tools. The computational theory of mood (...)
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  5. Emotional AI as affective artifacts: A philosophical exploration.Manh-Tung Ho & Manh-Toan Ho - manuscript
    In recent years, with the advances in machine learning and neuroscience, the abundances of sensors and emotion data, computer engineers have started to endow machines with ability to detect, classify, and interact with human emotions. Emotional artificial intelligence (AI), also known as a more technical term in affective computing, is increasingly more prevalent in our daily life as it is embedded in many applications in our mobile devices as well as in physical spaces. Critically, emotional AI systems have (...)
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  6. Introducing Argument & Computation.Guillermo R. Simari, Chris Reed, Iyad Rahwan & Floriana Grasso - 2010 - Argument and Computation 1 (1):1-5.
    Over the past decade or so, a new interdisciplinary field has emerged in the ground between, on the one hand, computer science – and artificial intelligence in particular – and, on the other, the area of philosophy concentrating on the language and structure of argument. There are now hundreds of researchers worldwide who would consider themselves a part of this nascent community. Various terms have been proposed for the area, including "Computational Dialectics," "Argumentation Technology," and "Argument-based Computing," but the (...)
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  7. On Hostile and Oppressive Affective Technologies.David Spurrett - 2024 - Topoi 43 (3):821-832.
    4E approaches to affective technology tend to focus on how ‘users’ manage their situated affectivity, analogously to how they help themselves cognitively through epistemic actions or using artefacts and scaffolding. Here I focus on cases where the function of affective technology is to exploit or manipulate the agent engaging with it. My opening example is the cigarette, where technological refinements have harmfully transformed the affective process of consuming nicotine. I proceed to develop case studies of two very (...)
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  8. Computer-administered testing practice in higher education in era of severe acute respiratory syndrome-related diseases outbreaks.Valentine Joseph Owan - 2020 - In V. C. Emeribe, L. U. Akah, O. A. Dada, D. A. Alawa & B. A. Akuegwu (eds.), Multidisciplinary issues in health, human kinetics and general education practices. University of Calabar Press. pp. 429-442.
    The focal point of this chapter is to discuss the concept of computer regulated testing and its implications in an era of Severe Acute Respiratory Syndrome (SARS) related infection pandemics. This is especially significant because during the outbreak of most SARS-related diseases (like the COVID-19), social and physical distancing is advocated by the government of different nations. SARS-related diseases are caused by a virus known as the coronavirus which affects the respiration of infected persons or animals. These diseases can be (...)
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  9. A Computer Simulation of the Argument from Disagreement.Johan E. Gustafsson & Martin Peterson - 2012 - Synthese 184 (3):387-405.
    In this paper we shed new light on the Argument from Disagreement by putting it to test in a computer simulation. According to this argument widespread and persistent disagreement on ethical issues indicates that our moral opinions are not influenced by any moral facts, either because no such facts exist or because they are epistemically inaccessible or inefficacious for some other reason. Our simulation shows that if our moral opinions were influenced at least a little bit by moral facts, we (...)
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  10. Computer-Aided Argument Mapping as a Tool for Teaching Critical Thinking.W. Martin Davies - 2014 - International Journal of Learning and Media 4 (3-4):79-84.
    As individuals we often face complex issues about which we must weigh evidence and come to conclusions. Corporations also have to make decisions on the basis of strong and compelling arguments. Legal practitioners, compelled by arguments for or against a proposition and underpinned by the weight of evidence, are often required to make judgments that affect the lives of others. Medical doctors face similar decisions. Governments make purchasing decisions—for example, for expensive military equipment—or decisions in the areas of public or (...)
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  11. Computer, Graphic, and Traditional Systems: A Theoretical Study of Music Notation.Richard Wood Massi - 1993 - Dissertation, University of California, San Diego
    This study examines problems related to the representation of music. It constructs the sender/message/perceiver/result model, a prototype broad enough to incorporate a large variety of music and other notation systems, including those having to do with computers. The work defines music notation itself, describes various models for studying the subject--including the binary types prescriptive/descriptive, and symbolic/iconic--and assesses music notation as a contemporary practice. It encompasses a review of the actions and intentions of composers, performers, and audiences, and a consideration of (...)
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  12. The Emotional Mind: the affective roots of culture and cognition.Stephen Asma & Rami Gabriel - 2019 - Harvard University Press.
    Tracing the leading role of emotions in the evolution of the mind, a philosopher and a psychologist pair up to reveal how thought and culture owe less to our faculty for reason than to our capacity to feel. Many accounts of the human mind concentrate on the brain’s computational power. Yet, in evolutionary terms, rational cognition emerged only the day before yesterday. For nearly 200 million years before humans developed a capacity to reason, the emotional centers of the brain were (...)
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  13. Varieties of artifacts: Embodied, perceptual, cognitive, and affective.Richard Heersmink - 2021 - Topics in Cognitive Science (4):1-24.
    The primary goal of this essay is to provide a comprehensive overview and analysis of the various relations between material artifacts and the embodied mind. A secondary goal of this essay is to identify some of the trends in the design and use of artifacts. First, based on their functional properties, I identify four categories of artifacts co-opted by the embodied mind, namely (1) embodied artifacts, (2) perceptual artifacts, (3) cognitive artifacts, and (4) affective artifacts. These categories can overlap (...)
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  14. Understanding Creativity: Affect Decision and Inference.Avijit Lahiri - manuscript
    In this essay we collect and put together a number of ideas relevant to the under- standing of the phenomenon of creativity, confining our considerations mostly to the domain of cognitive psychology while we will, on a few occasions, hint at neuropsy- chological underpinnings as well. In this, we will mostly focus on creativity in science, since creativity in other domains of human endeavor have common links with scientific creativity while differing in numerous other specific respects. We begin by briefly (...)
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  15.  75
    AI-Driven Emotion Recognition and Regulation Using Advanced Deep Learning Models.S. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):383-389.
    Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies that provide (...)
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  16. Understanding Games as Played:Sketch for a first-person perspective for computer game analysis.Olli Tapio Leino - 2009 - Philosophy of Computer Games 2009 Proceedings.
    Researchers interested in player’s experience would assumedly, across disciplines, agree that the goal behind enquiries into player’s experience is to understand the how games’ features end up affecting the player’s experience. Much of the contemporary interdisciplinary research into player’s experience leans toward the empirical-scientific, in the forms psychology, sociology and cognitive science, to name a few. In such approaches, for example demonstrating correlation between physiological symptoms and an in-game event may amount to ‘understanding’. However, the experience of computer game play (...)
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  17. Hydrates Production Prediction With Computer Modelling Group (CMG) Stars. A Comprehensive Review.Daudi Matungwa Katabaro & Wang Jinjie - 2018 - International Journal of Academic Multidisciplinary Research (IJAMR) 2 (11):24-30.
    Abstract: Hydrates are an enormous energy resource with global circulation in the permafrost and in the oceans. Even if conventional estimates are deliberated and only a small fraction is recoverable, the pure size of the resource is so huge that it demands assessment as a potential energy source. In this research work, we discuss the hydrate production prediction with Computer Modeling Group STARS (CMG STARS). In this paper different literatures reviews have been visited concerning hydrate production prediction with CMG STARS (...)
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  18. A review of Elizabeth Wilson’s Affect and Artificial Intelligence. [REVIEW]Ho Manh-Tung - manuscript
    Wilson’s book is of great interest to readers of the biographical history of computer science and, more importantly, humanities scholars who would like to explore how emotions influence the works of early pioneers amongst AI theoreticians and engineers. However, I present three areas where the book can improve: engaging with affective computing, acculturation of emotion, and organization of biographical data.
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  19. The effect of aging on facial attractiveness: An empirical and computational investigation.Dexian He, Clifford Ian Workman, Yoed Kennett & Anjan Chatterjee - 2021 - Acta Psychologica 219 (103385):1-11.
    How does aging affect facial attractiveness? We tested the hypothesis that people find older faces less attractive than younger faces, and furthermore, that these aging effects are modulated by the age and sex of the perceiver and by the specific kind of attractiveness judgment being made. Using empirical and computational network science methods, we confirmed that with increasing age, faces are perceived as less attractive. This effect was less pronounced in judgments made by older than younger and middle-aged perceivers, and (...)
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  20. Informatique affective: L’utilisation des systèmes de reconnaissance des émotions est-elle en cohérence avec la justice sociale?Alexandra Prégent - 2021 - Dissertation, Université Laval
    Emotion recognition systems (ERS) offer the ability to identify the emotions of others, based on an analysis of their facial expressions and regardless of culture, ethnicity, context, gender or social class. By claiming universalism in the expression as well as in the recognition of emotions, we believe that ERS present significant risks of causing great harm to some individuals, in addition to targeting, in some contexts, specific social groups. Drawing on a wide range of multidisciplinary knowledge - including philosophy, psychology, (...)
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  21. Can motto-goals outperform learning and performance goals? Influence of goal setting on performance and affect in a complex problem solving task.Miriam Sophia Rohe, Joachim Funke, Maja Storch & Julia Weber - 2016 - Journal of Dynamic Decision Making 2 (1):1-15.
    In this paper, we bring together research on complex problem solving with that on motivational psychology about goal setting. Complex problems require motivational effort because of their inherent difficulties. Goal Setting Theory has shown with simple tasks that high, specific performance goals lead to better performance outcome than do-your-best goals. However, in complex tasks, learning goals have proven more effective than performance goals. Based on the Zurich Resource Model, so-called motto-goals should activate a person’s resources through positive affect. It was (...)
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  22. Autonomous Weapons Systems, the Frame Problem and Computer Security.Michał Klincewicz - 2015 - Journal of Military Ethics 14 (2):162-176.
    Unlike human soldiers, autonomous weapons systems are unaffected by psychological factors that would cause them to act outside the chain of command. This is a compelling moral justification for their development and eventual deployment in war. To achieve this level of sophistication, the software that runs AWS will have to first solve two problems: the frame problem and the representation problem. Solutions to these problems will inevitably involve complex software. Complex software will create security risks and will make AWS critically (...)
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  23. “Excavating AI” Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset.Michael J. Lyons - 2021 - arXiv 2107:1-20.
    Twenty-five years ago, my colleagues Miyuki Kamachi and Jiro Gyoba and I designed and photographed JAFFE, a set of facial expression images intended for use in a study of face perception. In 2019, without seeking permission or informing us, Kate Crawford and Trevor Paglen exhibited JAFFE in two widely publicized art shows. In addition, they published a nonfactual account of the images in the essay “Excavating AI: The Politics of Images in Machine Learning Training Sets.” The present article recounts the (...)
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  24. KM Factors Affecting High Performance in Intermediate Colleges and its Impact on High Performance - Comparative Study.S. `Abu-Naser, Mazen J. Al Shobaki & Youssef M. Abu Amuna - 2016 - Computational Research Progress in Applied Science and Engineering 2 (4):158-167.
    This paper aims to determine knowledge management (KM) factors which have strong impact on high performance. Also, the study aims to compare KMM between intermediate colleges. This study was applied on three intermediate colleges in Gaza strip, Palestine. Asian productivity organization model was applied to measure KMM. Second dimension which assess high performance was developed by the authors. The controlled sample was 190. Several statistical tools were used for data analysis and hypotheses testing, including reliability correlation using Cronbach’s alpha, “ANOVA”, (...)
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  25. Three Patterns to Support Empathy in Computer-Mediated Human Interaction.Michael Lyons & Daniel Kluender - 2020 - arXiv 2011:1-6.
    We present three patterns for computer-mediated interaction which we discovered during the design and development of a platform for remote teaching and learning of kanji, the Chinese characters used in written Japanese. Our aim in developing this system was to provide a basis for embodiment in remote interaction, and in particular to support the experience of empathy by both teacher and student. From this study, the essential elements are abstracted and suggested as design patterns for other computer-mediated interaction systems.
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  26.  78
    Smart Homes with Augmented Reality and IoT Integration for Enhanced User Experience and Automation.M. Arulselvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):389-394.
    The proposed system allows users to monitor and control various home appliances, security systems, and environmental controls through AR interfaces, which overlay digital information on the physical environment. IoT devices communicate with each other and with the AR system, providing real-time data and enabling automated responses based on user preferences or environmental conditions. This synergy between AR and IoT facilitates a more responsive and intelligent home environment that adapts to the needs of its occupants.
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  27.  28
    Emotion Recognition Technology: Re-Shaping Human Relationships.Alexandra Prégent - 2022 - Aies'22: Proceedings of the 2022 Aaai/Acm Conference on Ai, Ethics, and Society.
    The promise and ambition of emotion recognition software is to provide a technological tool to access the inner self of others; their feelings, apprehensions, joys and passions. For several years now, the demand for emotion recognition software (ERS) has been increasing drastically in both countries and private companies, especially in the areas of security and consumer profiling. Exploring the relationships between emotion recognition software (ERS) and humans, and its impact on privacy is thus imperative. In doing so, we are forced (...)
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  28. Models, Algorithms, and the Subjects of Transparency.Hajo Greif - 2022 - In Vincent C. Müller (ed.), Philosophy and Theory of Artificial Intelligence 2021. Berlin: Springer. pp. 27-37.
    Concerns over epistemic opacity abound in contemporary debates on Artificial Intelligence (AI). However, it is not always clear to what extent these concerns refer to the same set of problems. We can observe, first, that the terms 'transparency' and 'opacity' are used either in reference to the computational elements of an AI model or to the models to which they pertain. Second, opacity and transparency might either be understood to refer to the properties of AI systems or to the epistemic (...)
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  29. Turing’s Three Senses of “Emotional”.Diane Proudfoot - 2014 - International Journal of Synthetic Emotions 5 (2):7-20.
    Turing used the expression “emotional” in three distinct ways: to state his philosophical theory of the concept of intelligence, to classify arguments for and against the possibility of machine intelligence, and to describe the education of a “child machine”. The remarks on emotion include several of the most important philosophical claims. This paper analyses these remarks and their significance for current research in Artificial Intelligence.
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  30. Human-like Knowledge Invention: A Non Monotonic Reasoning framework.Antonio Lieto - 2023 - In Model Based Reasoning Conference, 2023, Rome. Springer.
    Inventing novel knowledge to solve problems is a crucial, creative, mechanism employed by humans, to extend their range of action. In this paper, we present TCL (typicality-based compositional logic): a probabilistic, non monotonic extension of standard Description Logics of typicality, and will show how this framework is able to endow artificial systems of a human-like, commonsense based, concept composition procedure that allows its employment in a number of applications (ranging from computational creativity to goal-based reasoning to recommender systems and (...) computing). -/- The framework relies on 3 main ingredients: a non monotonic extension of standard Description Logics (allowing to reason on exceptions to inheritance in standard knowledge bases) a probabilistic extension coming from the field of logic programming (the DISPONTE semantics) a cognitive heuristics known ad HEAD-Modifier determining preference rules for the inheritance mechanisms of the novel concepts to be generated via commonsense rules. -/- We report the obtained results and the lessons learned of this research path in the context of model-based AI applications. -/- . (shrink)
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  31. Dreary useless centuries of happiness: Cordwainer Smith’s “Under Old Earth” as an ethical critique of our current Emotion AI goals.Alba Curry - 2022 - Neohelicon 49:465–476.
    This paper explores the ways in which Cordwainer Smith’s short story “Under Old Earth” problematizes emotions, who/what has them, and who/what is granted moral status. Most importantly, however, “Under Old Earth” questions the primacy of happiness in human society, especially where happiness is understood as the absence of other (negative) emotions. As such, “Under Old Earth” challenges the notion, widely held in contemporary ethics, that our moral obligation to one another is mediated through the goal of the attainment of happiness. (...)
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  32. The Ethics of Digital Touch.Nicholas Barrow & Patrick Haggard - manuscript
    This paper aims to outline the foundations for an ethics of digital touch. Digital touch refers to hardware and software technologies, often collectively referred to as ‘haptics’, that provide somatic sensations including touch and kinaesthesis, either as a stand-alone interface to users, or as part of a wider immersive experience. Digital touch has particular promise in application areas such as communication, affective computing, medicine, and education. However, as with all emerging technologies, potential value needs to be considered against (...)
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  33. Quantum of Wisdom.Colin Allen & Brett Karlan - 2022 - In Greg Viggiano (ed.), Quantum Computing and AI: Social, Ethical, and Geo-Political Implications. pp. 157-166.
    Practical quantum computing devices and their applications to AI in particular are presently mostly speculative. Nevertheless, questions about whether this future technology, if achieved, presents any special ethical issues are beginning to take shape. As with any novel technology, one can be reasonably confident that the challenges presented by "quantum AI" will be a mixture of something new and something old. Other commentators (Sevilla & Moreno 2019), have emphasized continuity, arguing that quantum computing does not substantially affect approaches (...)
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  34. Modeling economic systems as locally-constructive sequential games.Leigh Tesfatsion - 2017 - Journal of Economic Methodology 24 (4):1-26.
    Real-world economies are open-ended dynamic systems consisting of heterogeneous interacting participants. Human participants are decision-makers who strategically take into account the past actions and potential future actions of other participants. All participants are forced to be locally constructive, meaning their actions at any given time must be based on their local states; and participant actions at any given time affect future local states. Taken together, these essential properties imply real-world economies are locally-constructive sequential games. This paper discusses a modeling approach, (...)
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  35. (9 other versions)Stepping Beyond the Newtonian Paradigm in Biology. Towards an Integrable Model of Life: Accelerating Discovery in the Biological Foundations of Science.Plamen L. Simeonov, Edwin Brezina, Ron Cottam, Andreé C. Ehresmann, Arran Gare, Ted Goranson, Jaime Gomez-­‐Ramirez, Brian D. Josephson, Bruno Marchal, Koichiro Matsuno, Robert S. Root-­Bernstein, Otto E. Rössler, Stanley N. Salthe, Marcin Schroeder, Bill Seaman & Pridi Siregar - 2012 - In Plamen L. Simeonov, Leslie S. Smith & Andrée C. Ehresmann (eds.), Integral Biomathics: Tracing the Road to Reality. Springer. pp. 328-427.
    The INBIOSA project brings together a group of experts across many disciplines who believe that science requires a revolutionary transformative step in order to address many of the vexing challenges presented by the world. It is INBIOSA’s purpose to enable the focused collaboration of an interdisciplinary community of original thinkers. This paper sets out the case for support for this effort. The focus of the transformative research program proposal is biology-centric. We admit that biology to date has been more fact-oriented (...)
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  36. Ethics after the information revolution.Luciano Floridi - 2010 - In The Cambridge handbook of information and computer ethics. Cambridge University Press. pp. 3-19.
    This chapter discusses some conceptual undercurrents, which flow beneath the surface of the literature on information and computer ethics (ICE). It focuses on the potential impact of Information and Communication Technologies (ICTs) on our lives. Because of their 'data superconductivity', ICTs are well known for being among the most influential factors that affect the ontological friction in the infosphere. As a full expression of techne, the information society has already posed fundamental ethical problems, whose complexity and global dimensions are rapidly (...)
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  37. IoT-Integrated Smart Home Technologies with Augmented Reality for Improved User Experience.M. Arul Selvan - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):389-394.
    The paper also discusses the technical architecture, including the network protocols, data management strategies, and user interface design considerations necessary to implement such a system. Additionally, it addresses the challenges related to data security, privacy, and system interoperability. Finally, the paper outlines potential future enhancements, such as the incorporation of AI-driven predictive analytics and advanced AR features, to further elevate the smart home experience.
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  38. Indiscretions of a Contemporary Artist: Reflections on Trevor Paglen's (ab)use of the JAFFE dataset.Michael Lyons - manuscript
    Reflections on Trevor Paglen's (ab)use of the JAFFE dataset.
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  39. Excavating “Excavating AI”: The Elephant in the Gallery.Michael J. Lyons - 2020 - arXiv 2009:1-15.
    Two art exhibitions, “Training Humans” and “Making Faces,” and the accompanying essay “Excavating AI: The politics of images in machine learning training sets” by Kate Crawford and Trevor Paglen, are making substantial impact on discourse taking place in the social and mass media networks, and some scholarly circles. Critical scrutiny reveals, however, a self-contradictory stance regarding informed consent for the use of facial images, as well as serious flaws in their critique of ML training sets. Our analysis underlines the non-negotiability (...)
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  40.  65
    AUGMENTED REALITY AND IOT-INTEGRATED SMART HOMES: ENHANCING USER EXPERIENCE AND AUTOMATION.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):389-394.
    The integration of Augmented Reality (AR) and the Internet of Things (IoT) within smart homes represents a significant leap forward in home automation and user experience. This paper explores a comprehensive framework that combines these technologies to create an immersive, efficient, and user-friendly smart home environment. By utilizing AR, users can interact with and control IoT-enabled devices in real time through visual and intuitive interfaces. This integration not only simplifies the management of home systems but also enhances the overall user (...)
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  41.  59
    ADVANCED EMOTION RECOGNITION AND REGULATION UTILIZING DEEP LEARNING TECHNIQUES.S. Yoheswari - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):383-388.
    Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management strategies that provide (...)
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  42. The role of emotions in complex problem-solving.Miriam Spering, Daniel Wagener & Joachim Funke - 2005 - Cognition and Emotion 19:1252-1261.
    The assumption that positive affect leads to a better performance in simple cognitive tasks has become well established. We address the question whether positive and negative emotions differentially influence performance in complex problem-solving in the same way. Emotions were induced by positive or negative feedback in 74 participants who had to manage a computer-simulated complex problem-solving scenario. Results show that overall scenario performance is not affected, but positive and negative emotions elicit distinguishable problem-solving strategies: Participants with negative emotions are more (...)
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  43. Science Transformed?: Debating Claims of an Epochal Break.Alfred Nordmann, Hans Radder & Gregor Schiemann (eds.) - 2011 - University of Pittsburgh Press.
    Advancements in computing, instrumentation, robotics, digital imaging, and simulation modeling have changed science into a technology-driven institution. Government, industry, and society increasingly exert their influence over science, raising questions of values and objectivity. These and other profound changes have led many to speculate that we are in the midst of an epochal break in scientific history. -/- This edited volume presents an in-depth examination of these issues from philosophical, historical, social, and cultural perspectives. It offers arguments both for and (...)
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  44.  25
    Sikhism and Artificial Intelligence - The Mutual Relevance.Devinder Pal Singh - 2023 - Journal of Studies in Sikhism and Comparative Religion 49 (2):34-42.
    Artificial Intelligence refers to developing computer systems and machines that can perform tasks that usually require human intelligence. AI is an evolving field, and researchers and engineers continue to explore and develop new techniques and technologies to enhance its capabilities. The impact of AI on religions is not entirely predictable. AI is likely to affect religions or be affected by them in various ways, some of which are already becoming apparent. As with any new technology, it is up to individuals (...)
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  45. Deepfake detection by human crowds, machines, and machine-informed crowds.Matthew Groh, Ziv Epstein, Chaz Firestone & Rosalind Picard - 2022 - Proceedings of the National Academy of Sciences 119 (1):e2110013119.
    The recent emergence of machine-manipulated media raises an important societal question: How can we know whether a video that we watch is real or fake? In two online studies with 15,016 participants, we present authentic videos and deepfakes and ask participants to identify which is which. We compare the performance of ordinary human observers with the leading computer vision deepfake detection model and find them similarly accurate, while making different kinds of mistakes. Together, participants with access to the model’s prediction (...)
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  46. The Role of Social Network Structure in the Emergence of Linguistic Structure.Limor Raviv, Antje Meyer & Shiri Lev-Ari - 2020 - Cognitive Science 44 (8):e12876.
    Social network structure has been argued to shape the structure of languages, as well as affect the spread of innovations and the formation of conventions in the community. Specifically, theoretical and computational models of language change predict that sparsely connected communities develop more systematic languages, while tightly knit communities can maintain high levels of linguistic complexity and variability. However, the role of social network structure in the cultural evolution of languages has never been tested experimentally. Here, we present results from (...)
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  47. Robot Consciousness: Physics and Metaphysics Here and Abroad.Stephen Ripley - manuscript
    Interest has been renewed in the study of consciousness, both theoretical and applied, following developments in 20th and early 21st-century logic, metamathematics, computer science, and the brain sciences. In this evolving narrative, I explore several theoretical questions about the types of artificial intelligence and offer several conjectures about how they affect possible future developments in this exceptionally transformative field of research. I also address the practical significance of the advances in artificial intelligence in view of the cautions issued by prominent (...)
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  48.  76
    Consciousness without Report: Insights from Summary Statistics and Inattention ‘Blindness’.Marius Usher, Zohar Bronfman, Shiri Talmor, Hilla Jacobson & Baruch Eitam - 2018 - Philosophical Transactions of the Royal Society B: Biological Sciences 373 (1755).
    We contrast two theoretical positions on the relation between phenomenal and access consciousness. First, we discuss previous data supporting a mild Overflow position, according to which transient visual awareness can overflow report. These data are open to two interpretations: (i) observers transiently experience specific visual elements outside attentional focus without encoding them into working memory; (ii) no specific visual elements but only statistical summaries are experienced in such conditions. We present new data showing that under data-limited conditions observers cannot discriminate (...)
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  49. State of the Art of Audio- and Video-Based Solutions for AAL.Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Cartolovni, Pau Climent-Perez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazim Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta, Danila Germanese, Nicole Grech, Steinunn Gróa Sigurđardóttir, Murat Emirzeoglu, Ivo Iliev, Mladjan Jovanovic, Martin Kampel, William Kearns, Andrzej Klimczuk, Lambros Lambrinos, Jennifer Lumetzberger, Wiktor Mucha, Sophie Noiret, Zada Pajalic, Rodrigo Rodriguez Perez, Galidiya Petrova, Sintija Petrovica, Peter Pocta, Angelica Poli, Mara Pudane, Susanna Spinsante, Albert Ali Salah, Maria Jose Santofimia, Anna Sigríđur Islind, Lacramioara Stoicu-Tivadar, Hilda Tellioglu & Andrej Zgank - 2022 - Alicante: University of Alicante.
    It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred (...)
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  50. The Impact of Perceived Control on the Imagination of Better and Worse Possible Worlds.Keith Markman, Igor Gavanski, Steven Sherman & Matthew McMullen - 1995 - Personality and Social Psychology Bulletin 21 (6):588-595.
    Effects of perceived control and close alternative outcomes were examined. Subjects played a computer-simulated "wheel-of-fortune" game with another player in which two wheels spun simultaneously. Subjects had either control over spinning the wheel or control over which wheel would determine their outcome and which would determine the other player's outcome. Results showed that (a) subjects generated counterfactuals about the aspect of the game that they controlled, (b) the direction of these counterfactuals corresponded to the close outcome associated with the aspect (...)
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