Results for 'human-computer interaction'

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  1. Distributed Cognition, Toward a New Foundation for Human-Computer Interaction Research.David Kirsh, Jim Hollan & Edwin Hutchins - 2000 - ACM Transactions on Computer-Human Interaction 7 (2):174-196.
    We are quickly passing through the historical moment when people work in front of a single computer, dominated by a small CRT and focused on tasks involving only local information. Networked computers are becoming ubiquitous and are playing increasingly significant roles in our lives and in the basic infrastructure of science, business, and social interaction. For human-computer interaction o advance in the new millennium we need to better understand the emerging dynamic of interaction in (...)
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  2. Interaction and Resistance: The Recognition of Intentions in New Human-Computer Interaction.Vincent C. Müller - 2011 - In Anna Esposito, Antonietta M. Esposito, Raffaele Martone, Vincent C. Müller & Gaetano Scarpetta (eds.), Towards autonomous, adaptive, and context-aware multimodal interfaces: Theoretical and practical issues. Springer. pp. 1-7.
    Just as AI has moved away from classical AI, human-computer interaction (HCI) must move away from what I call ‘good old fashioned HCI’ to ‘new HCI’ – it must become a part of cognitive systems research where HCI is one case of the interaction of intelligent agents (we now know that interaction is essential for intelligent agents anyway). For such interaction, we cannot just ‘analyze the data’, but we must assume intentions in the other, (...)
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  3. An Analysis of the Interaction Between Intelligent Software Agents and Human Users.Christopher Burr, Nello Cristianini & James Ladyman - 2018 - Minds and Machines 28 (4):735-774.
    Interactions between an intelligent software agent and a human user are ubiquitous in everyday situations such as access to information, entertainment, and purchases. In such interactions, the ISA mediates the user’s access to the content, or controls some other aspect of the user experience, and is not designed to be neutral about outcomes of user choices. Like human users, ISAs are driven by goals, make autonomous decisions, and can learn from experience. Using ideas from bounded rationality, we frame (...)
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  4. Human-Aided Artificial Intelligence: Or, How to Run Large Computations in Human Brains? Towards a Media Sociology of Machine Learning.Rainer Mühlhoff - 2019 - New Media and Society 1.
    Today, artificial intelligence, especially machine learning, is structurally dependent on human participation. Technologies such as Deep Learning (DL) leverage networked media infrastructures and human-machine interaction designs to harness users to provide training and verification data. The emergence of DL is therefore based on a fundamental socio-technological transformation of the relationship between humans and machines. Rather than simulating human intelligence, DL-based AIs capture human cognitive abilities, so they are hybrid human-machine apparatuses. From a perspective of (...)
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  5.  7
    La computer-mediated interaction: Un modello interpretativo ed alcuni problemi.Luciano Floridi - 1997 - Internet Meeting 1997, Internet and Intranet for CompaniesAt: Centro Congressi Milanofiori, Assago, Milano.
    In this paper, I first outline a model of Computer-Meditated Interaction (CMI) to distinguish between (1) CMI HCI-transparent (HCI = human-computer interaction) and (2) CMI HCI-dependent. Some main features of (1) are then analysed (data-radiation, data-tracking, internalisation of problem solving), while (2) is further divided into (2.1) CMI-HCI stand-alone and (2.2) CMI-HCI on-line. Some advantages and limits of (2.1) are suggested, together with an overview of the present and future strategies leading the production of new (...)
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  6. Just Consequentialism and Computing.James H. Moor - 1999 - Ethics and Information Technology 1 (1):61-65.
    Computer and information ethics, as well as other fields of applied ethics, need ethical theories which coherently unify deontological and consequentialist aspects of ethical analysis. The proposed theory of just consequentialism emphasizes consequences of policies within the constraints of justice. This makes just consequentialism a practical and theoretically sound approach to ethical problems of computer and information ethics.
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  7. Information Ethics: On the Philosophical Foundation of Computer Ethics.Luciano Floridi - 1999 - Ethics and Information Technology 1 (1):33–52.
    The essential difficulty about Computer Ethics' (CE) philosophical status is a methodological problem: standard ethical theories cannot easily be adapted to deal with CE-problems, which appear to strain their conceptual resources, and CE requires a conceptual foundation as an ethical theory. Information Ethics (IE), the philosophical foundational counterpart of CE, can be seen as a particular case of environmental ethics or ethics of the infosphere. What is good for an information entity and the infosphere in general? This is the (...)
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  8.  16
    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 (...)-mediated interaction systems. (shrink)
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  9. Interactivity and Multimedia Interfaces.David Kirsh - 1997 - Instructional Science 25:79-96.
    Multimedia technology offers instructional designers an unprecedented opportunity to create richly interactive learning environments. With greater design freedom comes complexity. The standard answer to the problems of too much choice, disorientation, and complex navigation is thought to lie in the way we design interactivity in a system. Unfortunately, the theory of interactivity is at an early state of development. After critiquing the decision cycle model of interaction—the received theory in human computer interaction—I present arguments and observational (...)
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  10. HCI Model with Learning Mechanism for Cooperative Design in Pervasive Computing Environment.Hong Liu, Bin Hu & Philip Moore - 2015 - Journal of Internet Technology 16.
    This paper presents a human-computer interaction model with a three layers learning mechanism in a pervasive environment. We begin with a discussion around a number of important issues related to human-computer interaction followed by a description of the architecture for a multi-agent cooperative design system for pervasive computing environment. We present our proposed three- layer HCI model and introduce the group formation algorithm, which is predicated on a dynamic sharing niche technology. Finally, we explore (...)
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  11. Autonomous Cognitive Systems in Real-World Environments: Less Control, More Flexibility and Better Interaction.Vincent C. Müller - 2012 - Cognitive Computation 4 (3):212-215.
    In October 2011, the “2nd European Network for Cognitive Systems, Robotics and Interaction”, EUCogII, held its meeting in Groningen on “Autonomous activity in real-world environments”, organized by Tjeerd Andringa and myself. This is a brief personal report on why we thought autonomy in real-world environments is central for cognitive systems research and what I think I learned about it. --- The theses that crystallized are that a) autonomy is a relative property and a matter of degree, b) increasing autonomy (...)
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  12. Unveiling the Link Between Logical Fallacies and Web Persuasion.Antonio Lieto & Fabiana Vernero - 2013 - In ACM Proceedings of the 5th Web Science Conference, Paris. ACM.
    In the last decade Human-Computer Interaction (HCI) has started to focus attention on forms of persuasive interaction where computer technologies have the goal of changing users behavior and attitudes according to a predefined direction. In this work, we hypothesize a strong connection between logical fallacies (forms of reasoning which are logically invalid but cognitively effective) and some common persuasion strategies adopted within web technologies. With the aim of empirically evaluating our hypothesis, we carried out a (...)
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  13. Neural Implants as Gateways to Digital-Physical Ecosystems and Posthuman Socioeconomic Interaction.Matthew E. Gladden - 2016 - In Łukasz Jonak, Natalia Juchniewicz & Renata Włoch (eds.), Digital Ecosystems: Society in the Digital Age. Digital Economy Lab, University of Warsaw. pp. 85-98.
    For many employees, ‘work’ is no longer something performed while sitting at a computer in an office. Employees in a growing number of industries are expected to carry mobile devices and be available for work-related interactions even when beyond the workplace and outside of normal business hours. In this article it is argued that a future step will increasingly be to move work-related information and communication technology (ICT) inside the human body through the use of neuroprosthetics, to create (...)
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  14.  17
    Algorithm Exploitation: Humans Are Keen to Exploit Benevolent AI.Jurgis Karpus, Adrian Krüger, Julia Tovar Verba, Bahador Bahrami & Ophelia Deroy - 2021 - iScience 24 (6):102679.
    We cooperate with other people despite the risk of being exploited or hurt. If future artificial intelligence (AI) systems are benevolent and cooperative toward us, what will we do in return? Here we show that our cooperative dispositions are weaker when we interact with AI. In nine experiments, humans interacted with either another human or an AI agent in four classic social dilemma economic games and a newly designed game of Reciprocity that we introduce here. Contrary to the hypothesis (...)
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  15.  33
    Marketing as Control of Human Interfaces and its Political Exploitation.Luciano Floridi - 2019 - Philosophy and Technology 32 (3):379-388.
    In previous works, I defined ourselves as informational organisms, or inforgs for short, who forage for, produce, cultivate, curate, process, and consume information (Floridi 2013). Yet, we may also be understood as interfaces, who inhabit and interact with, an environment also made up of data and computational processes. By describing ourselves in such terms, this paper argues that we can better understand several crucial phenomena that characterise our digital age, including marketing and the “marketisation” of political communication. The article concludes (...)
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  16. Embodied Cognition and the Magical Future of Interaction Design.David Kirsh - 2013 - ACM Transactions on Computer-Human Interaction 20 (1):30.
    The theory of embodied cognition can provide HCI practitioners and theorists with new ideas about interac-tion and new principles for better designs. I support this claim with four ideas about cognition: (1) interacting with tools changes the way we think and perceive – tools, when manipulated, are soon absorbed into the body schema, and this absorption leads to fundamental changes in the way we perceive and conceive of our environments; (2) we think with our bodies not just with our brains; (...)
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  17. Bodily Systems and the Spatial-Functional Structure of the Human Body.Barry Smith - 2004 - Studies in Health and Technology Informatics 102:39–63.
    The human body is a system made of systems. The body is divided into bodily systems proper, such as the endocrine and circulatory systems, which are subdivided into many sub-systems at a variety of levels, whereby all systems and subsystems engage in massive causal interaction with each other and with their surrounding environments. Here we offer an explicit definition of bodily system and provide a framework for understanding their causal interactions. Medical sciences provide at best informal accounts of (...)
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  18. Turing on the Integration of Human and Machine Intelligence.S. G. Sterrett - 2014
    Abstract Philosophical discussion of Alan Turing’s writings on intelligence has mostly revolved around a single point made in a paper published in the journal Mind in 1950. This is unfortunate, for Turing’s reflections on machine (artificial) intelligence, human intelligence, and the relation between them were more extensive and sophisticated. They are seen to be extremely well-considered and sound in retrospect. Recently, IBM developed a question-answering computer (Watson) that could compete against humans on the game show Jeopardy! There are (...)
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  19. Cognition as Embodied Morphological Computation.Gordana Dodig-Crnkovic - 2018 - In Vincent C. Müller (ed.), Philosophy and Theory of Artificial Intelligence 2017. Springer.
    Cognitive science is considered to be the study of mind (consciousness and thought) and intelligence in humans. Under such definition variety of unsolved/unsolvable problems appear. This article argues for a broad understanding of cognition based on empirical results from i.a. natural sciences, self-organization, artificial intelligence and artificial life, network science and neuroscience, that apart from the high level mental activities in humans, includes sub-symbolic and sub-conscious processes, such as emotions, recognizes cognition in other living beings as well as extended and (...)
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  20. The Ethics of Digital Well-Being: A Thematic Review.Christopher Burr, Mariarosaria Taddeo & Luciano Floridi - 2020 - Science and Engineering Ethics 26:2313–2343.
    This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that is good for a human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to (...)
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  21. Social Machinery and Intelligence.Nello Cristianini, James Ladyman & Teresa Scantamburlo - manuscript
    Social machines are systems formed by technical and human elements interacting in a structured manner. The use of digital platforms as mediators allows large numbers of human participants to join such mechanisms, creating systems where interconnected digital and human components operate as a single machine capable of highly sophisticated behaviour. Under certain conditions, such systems can be described as autonomous and goal-driven agents. Many examples of modern Artificial Intelligence (AI) can be regarded as instances of this class (...)
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  22.  51
    Mutual Recognition in Human-Robot Interaction: a Deflationary Account.Ingar Brinck & Christian Balkenius - 2020 - Philosophy and Technology 33 (1):53-70.
    Mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behavior patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction between humans. We discuss what recognition involves and its behavioral manifestations, and describe the benefits of implementing it in HRI.
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  23.  25
    The Language of Human-Machine Communication. Technology and Language.Daria Bylieva - 2020 - Technology and Language 1 (1):16-21.
    This essay for the inaugural issue of Technology and Language discusses the problem of finding an optimal form of human-machine communication. In the ongoing search for an alien mind, humanity seems to find it not in the infinities of space, but in its own environment. Changes in the language of human-machine interaction made it understandable not only to trained specialists but to every household. In the course of time, home appliances and devices have developed their language abilities (...)
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  24.  99
    Mutual Recognition in Human-Robot Interaction: A Deflationary Account.Ingar Brinck & Christian Balkenius - 2018 - Philosophy and Technology 1 (1):53-70.
    Mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behavior patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction between humans. We discuss what recognition involves and its behavioral manifestations, and describe the benefits of implementing it in HRI.
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  25. Distributed Selves: Personal Identity and Extended Memory Systems.Richard Heersmink - 2017 - Synthese 194 (8):3135–3151.
    This paper explores the implications of extended and distributed cognition theory for our notions of personal identity. On an extended and distributed approach to cognition, external information is under certain conditions constitutive of memory. On a narrative approach to personal identity, autobiographical memory is constitutive of our diachronic self. In this paper, I bring these two approaches together and argue that external information can be constitutive of one’s autobiographical memory and thus also of one’s diachronic self. To develop this claim, (...)
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  26. Can Machines Read Our Minds?Christopher Burr & Nello Cristianini - 2019 - Minds and Machines 29 (3):461-494.
    We explore the question of whether machines can infer information about our psychological traits or mental states by observing samples of our behaviour gathered from our online activities. Ongoing technical advances across a range of research communities indicate that machines are now able to access this information, but the extent to which this is possible and the consequent implications have not been well explored. We begin by highlighting the urgency of asking this question, and then explore its conceptual underpinnings, in (...)
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  27.  46
    Menschengestützte Künstliche Intelligenz: Über die soziotechnischen Voraussetzungen von "deep learning".Rainer Mühlhoff - 2019 - Zeitschrift Für Medienwissenschaft (ZfM) 21 (2):56–64.
    Die aktuellen Erfolge von Künstlicher Intelligenz beruhen nicht nur auf technologischen Fortschritten, sondern auch auf einem grundlegenden soziotechnischen Strukturwandel. Denn maschinelle Lernverfahren wie Deep Learning benötigen eine große Menge Trainingsdaten, die nur über menschliche Mitarbeit gewonnen werden können. In einer Konvergenz von Methoden der Human-Computer-Interaction und der KI ist in den letzten zehn Jahren eine Fülle von Mensch-Maschine-Interfaces und medialen Infrastrukturen entstanden, durch die menschliche kognitive Ressourcen in hybride Mensch-Maschine-Apparate eingespannt werden. Diese Apparate vollbringen im Ganzen jene (...)
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  28.  48
    Planning for Ethical Agent-Agent Interaction.Jesse David Dinneen - 2019 - Good Systems: Ethical AI for CSCW, Workshop at CSCW '19: ACM SIGCHI Conference on Computer-Supported Cooperative Work.
    In this position paper for the 2019 CSCW workshop Good Systems: Ethical AI for CSCW I propose one tool and one idea for navigating the complex ethical problem space that results from the interaction of human and/or AI agents in shared, hopefully cooperative, computing environments.
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  29.  42
    The Ethics of Digital Well-Being: A Thematic Review.Christopher Burr, Mariarosaria Taddeo & Luciano Floridi - 2020 - Science and Engineering Ethics 26 (4):2313–⁠2343.
    This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that is good for a human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to (...)
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  30.  87
    Introduction To: Norms, Logics and Information Systems: New Studies on Deontic Logic and Computer Science.Paul McNamara & Henry Prakken - 1999 - In Paul McNamara & Prakken Henry (eds.), Norms, Logics and Information Systems: New Studies on Deontic Logic and Computer Science. Amsterdam: pp. 1-14.
    (See also the separate entry for the volume itself.) This introduction has three parts. The first providing an overview of some main lines of research in deontic logic: the emergence of SDL, Chisholm's paradox and the development of dyadic deontic logics, various other puzzles/challenges and areas of development, along with philosophical applications. The second part focus on some actual and potential fruitful interactions between deontic logic, computer science and artificial intelligence. These include applications of deontic logic to AI knowledge (...)
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  31.  37
    Consensus-Based Data Management Within Fog Computing For the Internet of Things.Al-Doghman Firas Qais Mohammed Saleh - 2019 - Dissertation, University of Technology Sydney
    The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. This (...)
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  32. Cognitive Ecology as a Framework for Shakespearean Studies.John Sutton & Evelyn Tribble - 2011 - Shakespeare Studies 39:94-103.
    ‘‘COGNITIVE ECOLOGY’’ is a fruitful model for Shakespearian studies, early modern literary and cultural history, and theatrical history more widely. Cognitive ecologies are the multidimensional contexts in which we remember, feel, think, sense, communicate, imagine, and act, often collaboratively, on the fly, and in rich ongoing interaction with our environments. Along with the anthropologist Edwin Hutchins,1 we use the term ‘‘cognitive ecology’’ to integrate a number of recent approaches to cultural cognition: we believe these approaches offer productive lines of (...)
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  33.  18
    Robots Working with Humans or Humans Working with Robots? Searching for Social Dimensions in New Human-Robot Interaction in Industry.António Moniz & Bettina-Johanna Krings - 2016 - Societies 2016 (23).
    The focus of the following article is on the use of new robotic systems in the manufacturing industry with respect to the social dimension. Since “intuitive” human–machine interaction (HMI) in robotic systems becomes a significant objective of technical progress, new models of work organization are needed. This hypothesis will be investigated through the following two aims: The first aim is to identify relevant research questions related to the potential use of robotic systems in different systems of work organization (...)
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  34. Social Norms in Virtual Worlds of Computer Games.Daria Bylieva & Tatiana Nam - 2018 - In Advances in Social Science, Education and Humanities Research. Proceedings of the International Conference Communicative Strategies of Information Society (CSIS 2018). pp. 369-373.
    Immersing in the virtual world of the Internet, information and communication technologies are changing the human being. In spite of the apparent similarity of on-line and off-line, social laws of their existence are different. According to the analysis of games, based on the violation of the accepted laws of the world off-line, their censoring, as well as the cheating, features of formation and violations of social norms in virtual worlds were formulated. Although the creators of the games have priority (...)
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  35. Environments of Intelligence. From Natural Information to Artficial Interaction.Hajo Greif - 2017 - London: Routledge.
    What is the role of the environment, and of the information it provides, in cognition? More specifically, may there be a role for certain artefacts to play in this context? These are questions that motivate "4E" theories of cognition (as being embodied, embedded, extended, enactive). In his take on that family of views, Hajo Greif first defends and refines a concept of information as primarily natural, environmentally embedded in character, which had been eclipsed by information-processing views of cognition. He continues (...)
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  36.  32
    The Social Turn of Artificial Intelligence.Nello Cristianini, Teresa Scantamburlo & James Ladyman - 2021 - AI and Society (online).
    Social machines are systems formed by material and human elements interacting in a structured way. The use of digital platforms as mediators allows large numbers of humans to participate in such machines, which have interconnected AI and human components operating as a single system capable of highly sophisticated behavior. Under certain conditions, such systems can be understood as autonomous goal-driven agents. Many popular online platforms can be regarded as instances of this class of agent. We argue that autonomous (...)
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  37. Agency and Embodiment: Groups, Human–Machine Interactions, and Virtual Realities.Johannes Himmelreich - 2018 - Ratio 31 (2):197-213.
    This paper develops a taxonomy of kinds of actions that can be seen in group agency, human–machine interactions, and virtual realities. These kinds of actions are special in that they are not embodied in the ordinary sense. I begin by analysing the notion of embodiment into three separate assumptions that together comprise what I call the Embodiment View. Although this view may find support in paradigmatic cases of agency, I suggest that each of its assumptions can be relaxed. With (...)
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  38.  80
    Information Ethics: A Reappraisal.Luciano Floridi - 2008 - Ethics and Information Technology 10 (2–3):189–204.
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  39.  42
    The Case for E-Trust.Mariarosaria Taddeo & Luciano Floridi - 2011 - Ethics and Information Technology 13 (1):1–3.
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  40. Rebound Effects of Progress in Information Technology.Lorenz M. Hilty, Andreas Köhler, Fabian Schéele, Rainer Zah & Thomas Ruddy - 2006 - Poiesis and Praxis 4 (1):19-38.
    Information technology (IT) is continuously making astounding progress in technical efficiency. The time, space, material and energy needed to provide a unit of IT service have decreased by three orders of magnitude since the first personal computer (PC) was sold. However, it seems difficult for society to translate IT’s efficiency progress into progress in terms of individual, organizational or socio-economic goals. In particular it seems to be difficult for individuals to work more efficiently, for organizations to be more productive (...)
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  41.  70
    Editorial Introduction – Ethics of New Information Technology.Philip Brey, Luciano Floridi & Frances Grodzinsky - 2005 - Ethics and Information Technology 7 (3):109–109.
    This special issue of Ethics and Information Technology focuses on the ethics of new and emerging information technology (IT). The papers have been selected from submissions to the sixth international conference on Computer Ethics: Philosophical Enquiry (CEPE2005), which took place at the University of Twente, the Netherlands, July 17–19, 2005. -/- .
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  42.  32
    Cognitive Biases for the Design of Persuasive Technologies: Uses, Abuses and Ethical Concerns.Antonio Lieto - 2021 - ACM Distinguished Speakers - Lecture Series.
    In the last decades Human-Computer Interaction (HCI) has started to focus attention on “persuasive technologies” having the goal of changing users’ behavior and attitudes according to a predefined direction. In this talk we show how some of the techniques employed in such technologies trigger some well known cognitive biases by adopting a strategy relying on logical fallacies (i.e. forms of reasoning which are logically invalid but psychologically persuasive). In particular, we will show how the mechanisms reducible to (...)
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  43. Influencing the Others’ Minds: An Experimental Evaluation of the Use and Efficacy of Fallacious-Reducible Arguments in Web and Mobile Technologies.Antonio Lieto & Fabiana Vernero - 2014 - PsychNology Journa 12 (3):87-105.
    The research in Human Computer Interaction (HCI) has nowadays extended its attention to the study of persuasive technologies. Following this line of research, in this paper we focus on websites and mobile applications in the e-commerce domain. In particular, we take them as an evident example of persuasive technologies. Starting from the hypothesis that there is a strong connection between logical fallacies, i.e., forms of reasoning which are logically invalid but psychologically persuasive, and some common persuasion strategies (...)
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  44. From Agency to Apperception: Through Kinaesthesia to Cognition and Creation.Susan A. J. Stuart - 2008 - Ethics and Information Technology 10 (4):255-264.
    My aim in this paper is to go some way towards showing that the maintenance of hard and fast dichotomies, like those between mind and body, and the real and the virtual, is untenable, and that technological advance cannot occur with being cognisant of its reciprocal ethical implications. In their place I will present a softer enactivist ontology through which I examine the nature of our engagement with technology in general and with virtual realities in particular. This softer ontology is (...)
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  45. L'art d'Être Libres au Temps des Automates.Luis de Miranda - 2010 - Milo.
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  46. Cognition and the Web: Extended, Transactive, or Scaffolded?Richard Heersmink & John Sutton - 2020 - Erkenntnis 85 (1):139-164.
    In the history of external information systems, the World Wide Web presents a significant change in terms of the accessibility and amount of available information. Constant access to various kinds of online information has consequences for the way we think, act and remember. Philosophers and cognitive scientists have recently started to examine the interactions between the human mind and the Web, mainly focussing on the way online information influences our biological memory systems. In this article, we use concepts from (...)
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  47.  25
    “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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  48. Cognitive Behavioural Systems.Esposito Anna, Esposito Antonietta M., Hoffmann Rüdiger, Müller Vincent C. & Vinciarelli Alessandro (eds.) - 2012 - Springer.
    This book constitutes refereed proceedings of the COST 2102 International Training School on Cognitive Behavioural Systems held in Dresden, Germany, in February 2011. The 39 revised full papers presented were carefully reviewed and selected from various submissions. The volume presents new and original research results in the field of human-machine interaction inspired by cognitive behavioural human-human interaction features. The themes covered are on cognitive and computational social information processing, emotional and social believable Human-Computer (...)
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  49. Sexual Robots: The Social-Relational Approach and the Concept of Subjective Reference.Piercosma Bisconti & Susanna Piermattei - 2020 - Lecture Notes in Computer Science.
    In this paper we propose the notion of “subjective reference” as a conceptual tool that explains how and why human-robot sexual interactions could reframe users approach to human-human sexual interactions. First, we introduce the current debate about Sexual Robotics, situated in the wider discussion about Social Robots, stating the urgency of a regulative framework. We underline the importance of a social-relational approach, mostly concerned about Social Robots impact in human social structures. Then, we point out the (...)
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  50.  99
    Companion Robots: The Hallucinatory Danger of Human-Robot Interactions.Piercosma Bisconti & Daniele Nardi - 2018 - In AIES '18: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. pp. 17-22.
    The advent of the so-called Companion Robots is raising many ethical concerns among scholars and in the public opinion. Focusing mainly on robots caring for the elderly, in this paper we analyze these concerns to distinguish which are directly ascribable to robotic, and which are instead preexistent. One of these is the “deception objection”, namely the ethical unacceptability of deceiving the user about the simulated nature of the robot’s behaviors. We argue on the inconsistency of this charge, as today formulated. (...)
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