Search results for '*Human Computer Interaction' (try it on Scholar)

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  1.  51
    Vincent C. Müller (2011). Interaction and Resistance: The Recognition of Intentions in New Human-Computer Interaction. 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 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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  2.  62
    Philip Brey (2005). The Epistemology and Ontology of Human-Computer Interaction. Minds and Machines 15 (3-4):383-398.
    This paper analyzes epistemological and ontological dimensions of Human-Computer Interaction (HCI) through an analysis of the functions of computer systems in relation to their users. It is argued that the primary relation between humans and computer systems has historically been epistemic: computers are used as information-processing and problem-solving tools that extend human cognition, thereby creating hybrid cognitive systems consisting of a human processor and an artificial processor that process information in tandem. In this role, computer (...)
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  3.  31
    Markus F. Peschl & Chris Stary (1998). The Role of Cognitive Modeling for User Interface Design Representations: An Epistemological Analysis of Knowledge Engineering in the Context of Human-Computer Interaction. [REVIEW] Minds and Machines 8 (2):203-236.
    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 (...)
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  4. David Kirsh (2000). Distributed Cognition, Toward a New Foundation for Human-Computer Interaction Research. 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 which (...)
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  5. David Kirsh, Jim Hollan & Edwin Hutchins (2000). Distributed Cognition, Toward a New Foundation for Human-Computer Interaction Research. 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 which (...)
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  6.  14
    W. Oberschelp (1998). The Sorcerer and the Apprentice. Human-Computer Interaction Today. AI and Society 12 (1-2):97-104.
    Human-computer interaction today has got a touch of magic: Without understanding the causal coherence, using a computer seems to become the art to use the right spell with the mouse as the magic wand — the sorcerer's staff. Goethes's poem admits an allegoric interpretation. We explicate the analogy between using a computer and casting a spell with emphasis on teaching magic skills. The art to create an ergonomic user interface has to take care of various levels (...)
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  7.  12
    Daniel Fallman (2010). A Different Way of Seeing: Albert Borgmann's Philosophy of Technology and Human–Computer Interaction. [REVIEW] AI and Society 25 (1):53-60.
    Traditional human–computer interaction (HCI) allowed researchers and practitioners to share and rely on the ‘five E’s’ of usability, the principle that interactive systems should be designed to be effective, efficient, engaging, error tolerant, and easy to learn. A recent trend in HCI, however, is that academic researchers as well as practitioners are becoming increasingly interested in user experiences, i.e., understanding and designing for relationships between users and artifacts that are for instance affective, engaging, fun, playable, sociable, creative, involving, (...)
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  8.  9
    Christine L. Lisetti & Diane J. Schiano (2000). Automatic Facial Expression Interpretation: Where Human Computer Interaction, Artificial Intelligence and Cognitive Science Intersect. Pragmatics and Cognition 8 (1):185-236.
    We discuss here one of our projects, aimed at developing an automatic facial expression interpreter, mainly in terms of signaled emotions. We present some of the relevant findings on facial expressions from cognitive science and psychology that can be understood by and be useful to researchers in Human-Computer Interaction and Artificial Intelligence. We then give an overview of HCI applications involving automated facial expression recognition, we survey some of the latest progresses in this area reached by various approaches (...)
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  9.  21
    Robert G. Magee & Sriram Kalyanaraman (2010). The Perceived Moral Qualities of Web Sites: Implications for Persuasion Processes in Human–Computer Interaction. [REVIEW] Ethics and Information Technology 12 (2):109-125.
    This study extended the scope of previous findings in human–computer interaction research within the computers are social actors paradigm by showing that online users attribute perceptions of moral qualities to Websites and, further, that differential perceptions of morality affected the extent of persuasion. In an experiment (N = 138) that manipulated four morality conditions (universalist, relativist, egotistic, control) across worldview, a measured independent variable, users were asked to evaluate a Web site designed to aid them in making ethical (...)
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  10.  19
    D. Alexander Varakin, Daniel T. Levin & Roger Fidler (2004). Unseen and Unaware: Implications of Recent Research on Failures of Visual Awareness for Human-Computer Interface Design. Human-Computer Interaction 19 (4):389-422.
  11. Jaeseon Lee, Kyoung Shin Park & Minsoo Hahn (2006). Human-Computer Interaction-The 3D Sensor Table for Bare Hand Tracking and Posture Recognition. In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer-Verlag 138-146.
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  12. Yoshiyuki Takahashi, Osamu Nitta, Shigeru Okikawa & Takashi Komeda (2006). People with Motor and Mobility Impairement: Human Computer Interaction, Rehabilitation-Development of a Power Assisted Handrail--Handrail Trajectory and Standing Up Motion. In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer-Verlag 935-942.
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  13.  22
    Yoonjae Nam & Joohan Kim (2010). A Semiotic Analysis of Sounds in Personal Computers: Toward a Semiotic Model of Human-Computer Interaction. Semiotica 2010 (182):269-284.
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  14.  40
    Robert J. K. Jacob & Keith S. Karn (2003). Eye Tracking in Human-Computer Interaction and Usability Research: Ready to Deliver the Promises. Mind 2 (3):4.
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  15.  11
    Kristinn R. Thórisson (1994). Simulated Perceptual Grouping: An Application to Human-Computer Interaction. In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum
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  16.  8
    Piyush Kumar, Jyoti Verma & Shitala Prasad (2012). Hand Data Glove: A Wearable Real-Time Device for Human-Computer Interaction. In Zdravko Radman (ed.), The Hand. MIT Press 43.
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  17.  1
    Chris Fields (1987). Human-Computer Interaction: A Critical Synthesis. Social Epistemology 1 (1):5 – 25.
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  18.  7
    Yun Xia (2001). Human-Computer Interaction: Sign and Its Application in the Digital Representation and Code Conversion in Computers. American Journal of Semiotics 17 (2):369-390.
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  19.  18
    Matthias Rehm, Yukiko Nakano, Elisabeth André & Toyoaki Nishida (2009). Enculturating Human–Computer Interaction. AI and Society 24 (3):209-211.
  20. Stephen Downes (1987). Human-Computer Interaction: A Critical Synthesis. Social Epistemology 1 (1):27 – 36.
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  21.  8
    Barbara Gorayska & Jacob Mey (1996). Cognitive Technology: A New Deal in Human Computer Interaction. [REVIEW] AI and Society 10 (3-4):219-225.
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  22. John H. Connolly, Alan Chamberlain & Iain W. Phillips (2008). An Approach to Context in Human-Computer Interaction. Semiotica 2008 (169):45-70.
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  23. H. H. Huang, A. Cerekovic, I. S. Pandzic, Y. Nakano & T. Nishida (2009). Enculturating Human-Computer Interaction. AI and Society 24:225-235.
     
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  24. Christine L. Lisetti & Diane J. Schiano (2000). Automatic Facial Expression Interpretation: Where Human-Computer Interaction, Artificial Intelligence and Cognitive Science Intersect. Pragmatics and Cognitionpragmatics and Cognition 8 (1):185-235.
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  25. Marcin Składanek (2008). Hybrid Spaces of Human-Computer Interaction in View of Ubicomp Postulates. Art Inquiry. Recherches Sur les Arts 10:51-62.
     
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  26.  7
    Vladimir Popescu & Jean Caelen (2009). Argumentative Ordering of Utterances for Language Generation in Multi-Party Human–Computer Dialogue. Argumentation 23 (2):205-237.
    In trying to control various aspects concerning utterance production in multi-party human–computer dialogue, argumentative considerations play an important part, particularly in choosing appropriate lexical units so that we fine-tune the degree of persuasion that each utterance has. A preliminary step in this endeavor is the ability to place an ordering relation between semantic forms (that are due to be realized as utterances, by the machine), concerning their persuasion strength, with respect to certain (explicit or implicit) conclusions. Thus, in this (...)
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  27.  29
    John M. Artz (1999). Human Values and the Design of Computer Technology, Edited by Batya Friedman. Ethics and Information Technology 1 (4):305-306.
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  28.  48
    Guglielmo Tamburrini (2009). Brain to Computer Communication: Ethical Perspectives on Interaction Models. [REVIEW] Neuroethics 2 (3):137-149.
    Brain Computer Interfaces (BCIs) enable one to control peripheral ICT and robotic devices by processing brain activity on-line. The potential usefulness of BCI systems, initially demonstrated in rehabilitation medicine, is now being explored in education, entertainment, intensive workflow monitoring, security, and training. Ethical issues arising in connection with these investigations are triaged taking into account technological imminence and pervasiveness of BCI technologies. By focussing on imminent technological developments, ethical reflection is informatively grounded into realistic protocols of brain-to-computer communication. (...)
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  29.  2
    Maria Miceli, Amedo Cesta & Paola Rizzo (1995). Distributed Artificial Intelligence From a Socio-Cognitive Standpoint: Looking at Reasons for Interaction. [REVIEW] AI and Society 9 (4):287-320.
    Distributed Artificial Intelligence (DAI) deals with computational systems where several intelligent components interact in a common environment. This paper is aimed at pointing out and fostering the exchange between DAI and cognitive and social science in order to deal with the issues of interaction, and in particular with the reasons and possible strategies for social behaviour in multi-agent interaction is also described which is motivated by requirements of cognitive plausibility and grounded the notions of power, dependence and help. (...)
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  30.  13
    Elisabeth Hildt (2010). Brain-Computer Interaction and Medical Access to the Brain: Individual, Social and Ethical Implications. Studies in Ethics, Law, and Technology 4 (3).
    This paper discusses current clinical applications and possible future uses of brain-computer interfaces as a means for communication, motor control and entertainment. After giving a brief account of the various approaches to direct brain-computer interaction, the paper will address individual, social and ethical implications of BCI technology to extract signals from the brain. These include reflections on medical and psychosocial benefits and risks, user control, informed consent, autonomy and privacy as well as ethical and social issues implicated (...)
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  31. Norm Friesen (2010). Mind and Machine: Ethical and Epistemological Implications for Research. [REVIEW] AI and Society 25 (1):83-92.
    Technologies are significant in research not only as instruments for gathering data and analyzing information; they also provide a valuable resource for the development of theory—in terms of what has been called the “tools to theory heuristic.” Focusing on the specific example of the fields of educational psychology and instructional technology and design, this paper begins by describing how the workings of the “tools to theory heuristic” are evident in the metaphors and descriptions of behaviorism, cognitivism, and constructivism. In each (...)
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  32.  10
    Professor Mary L. Cummings (2006). Integrating Ethics in Design Through the Value-Sensitive Design Approach. Science and Engineering Ethics 12 (4):701-715.
    The Accreditation Board of Engineering and Technology (ABET) has declared that to achieve accredited status, “engineering programs must demonstrate that their graduates have an understanding of professional and ethical responsibility.” Many engineering professors struggle to integrate this required ethics instruction in technical classes and projects because of the lack of a formalized ethics-in-design approach. However, one methodology developed in human-computer interaction research, the Value-Sensitive Design approach, can serve as an engineering education tool which bridges the gap between design (...)
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  33.  5
    Liam J. Bannon (1989). A Pilgrim's Progress: From Cognitive Science to Cooperative Design. [REVIEW] AI and Society 4 (4):259-275.
    This paper provides a glimpse of some different theoretical frameworks and empirical methods in the author's search for theories and practices that might improve the utility and usability of computer artifacts. The essay touches on some problematic aspects of currently accepted theories and techniques in the cognitive sciences, especially in their application to the field of human-computer interaction, and mentions some alternative conceptions based on a cultural-historical approach. The intent is to widen the nature of the debate (...)
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  34.  1
    Thomas Hermann & Katharina Just (1995). Experts' Systems Instead of Expert Systems. AI and Society 9 (4):321-355.
    By studying several cases of expert systems' use, a variety of difficulties were identified as directly depending on specific characteristics of experts and their tasks. This concerns more than the questions: “May experts be replaced by machines?” or “Is experts' knowledge explicable?”. The organisational structure of their work as well as the cyclic, non-plannable way of their task performing have further relevance. The paper introduces the concept of experts' systems to deal with diversities of their expertise and complexities of their (...)
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  35.  39
    Brian Fisher, Tera Marie Green & Richard Arias-Hernández (2011). Visual Analytics as a Translational Cognitive Science. Topics in Cognitive Science 3 (3):609-625.
    Visual analytics is a new interdisciplinary field of study that calls for a more structured scientific approach to understanding the effects of interaction with complex graphical displays on human cognitive processes. Its primary goal is to support the design and evaluation of graphical information systems that better support cognitive processes in areas as diverse as scientific research and emergency management. The methodologies that make up this new field are as yet ill defined. This paper proposes a pathway for development (...)
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  36.  10
    Andrew Fordham & Nigel Gilbert (1995). On the Nature of Rules and Conversation. AI and Society 9 (4):356-372.
    The use of findings from conversation analysis in the design of human-computer interfaces and especially in the design of computer-human speech dialogues is a matter of considerable controversy. For example, in “Going up a Blind Alley” (Button, 1990) and “On Simulacrums of Conversation” (Button and Sharrock, 1995), Button argues that conversation analysis is of only limited use in the computational modelling of interaction. He suggests that computers will never be able to “converse” with humans because of the (...)
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  37.  49
    Deborah G. Johnson & Thomas M. Powers (2005). Computer Systems and Responsibility: A Normative Look at Technological Complexity. [REVIEW] Ethics and Information Technology 7 (2):99-107.
    In this paper, we focus attention on the role of computer system complexity in ascribing responsibility. We begin by introducing the notion of technological moral action (TMA). TMA is carried out by the combination of a computer system user, a system designer (developers, programmers, and testers), and a computer system (hardware and software). We discuss three sometimes overlapping types of responsibility: causal responsibility, moral responsibility, and role responsibility. Our analysis is informed by the well-known accounts provided by (...)
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  38.  18
    Toni Robertson (2006). Ethical Issues in Interaction Design. Ethics and Information Technology 8 (2):49-59.
    When we design information technology we risk building specific metaphors and models of human activities into the technology itself and into the embodied activities, work practices, organisational cultures and social identities of those who use it. This paper is motivated by the recognition that the assumptions about human activity used to guide the design of particular technology are made active, in use, by the interaction design of that technology. A fragment of shared design work is used to ground an (...)
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  39. Luciano Floridi (1999). Information Ethics: On the Philosophical Foundation of Computer Ethics. [REVIEW] 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 (...)
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  40.  64
    Vincent C. Müller (2012). Autonomous Cognitive Systems in Real-World Environments: Less Control, More Flexibility and Better Interaction. 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 (...)
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  41. Philip Brey (2000). Method in Computer Ethics: Towards a Multi-Level Interdisciplinary Approach. [REVIEW] Ethics and Information Technology 2 (2):125-129.
    This essay considers methodological aspects ofcomputer ethics and argues for a multi-levelinterdisciplinary approach with a central role forwhat is called disclosive computer ethics. Disclosivecomputer ethics is concerned with the moraldeciphering of embedded values and norms in computersystems, applications and practices. In themethodology for computer ethics research proposed inthe essay, research takes place at three levels: thedisclosure level, in which ideally philosophers,computer scientists and social scientists collaborateto disclose embedded normativity in computer systemsand practices, the theoretical level, in (...)
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  42.  30
    Kenneth Einar Himma (2003). The Relationship Between the Uniqueness of Computer Ethics and its Independence as a Discipline in Applied Ethics. Ethics and Information Technology 5 (4):225-237.
    A number of different uniquenessclaims have been made about computer ethics inorder to justify characterizing it as adistinct subdiscipline of applied ethics. Iconsider several different interpretations ofthese claims and argue, first, that none areplausible and, second, that none provideadequate justification for characterizingcomputer ethics as a distinct subdiscipline ofapplied ethics. Even so, I argue that computerethics shares certain important characteristicswith medical ethics that justifies treatingboth as separate subdisciplines of appliedethics.
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  43.  70
    Kirstie S. Ball (2001). Situating Workplace Surveillance: Ethics and Computer Based Performance Monitoring. [REVIEW] Ethics and Information Technology 3 (3):209-221.
    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 (...)
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  44. R. Sorbello, A. Chella, C. Calì, M. Giardina, S. Nishio & H. Ishiguro (2014). Telenoid Android Robot as an Embodied Perceptual Social Regulation Medium Engaging Natural Human–Humanoid Interaction. Robotics and Autonomous System 62:1329-1341.
    The present paper aims to validate our research on human–humanoid interaction (HHI) using the minimalist humanoid robot Telenoid. We conducted the human–robot interaction test with 142 young people who had no prior interaction experience with this robot. The main goal is the analysis of the two social dimensions (‘‘Perception’’ and ‘‘Believability’’) useful for increasing the natural behaviour between users and Telenoid.Weadministered our custom questionnaire to human subjects in association with a well defined experimental setting (...)
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  45.  6
    John R. Anderson (1987). Methodologies for Studying Human Knowledge. Behavioral and Brain Sciences 10 (3):467.
  46.  67
    Deborah G. Johnson, James H. Moor & Herman T. Tavani (2001). Introduction to Computer Ethics: Philosophy Enquiry. [REVIEW] Ethics and Information Technology 3 (1):1-2.
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  47.  23
    Timm Triplett (2002). Bernard Gert's Morality and its Application to Computer Ethics. Ethics and Information Technology 4 (1):79-92.
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  48.  13
    Terrell Ward Bynum (2001). Computer Ethics: Its Birth and its Future. Ethics and Information Technology 3 (2):109-112.
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  49.  26
    Mark H. Rosenbaum (2010). Giannis Stamatellos: Computer Ethics—A Global Perspective. [REVIEW] Ethics and Information Technology 12 (4):371-373.
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  50.  27
    Herman T. Tavani, Frances S. Grodzinsky & Richard A. Spinello (2003). Computer Ethics in the Post-September 11 World. Ethics and Information Technology 5 (4):181-182.
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