The Systemics of Dialogism: On the Prevalence of the Self in HCI Design.

Journal of the American Society for Information Science (Impact Factor: 2.01). 11/1997; 48:1073-1081. DOI: 10.1002/(SICI)1097-4571(199711)48:113.0.CO;2-T
Source: DBLP


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    ABSTRACT: The year 2001 was a "fast year" for research in Natural Computation and Robotics. In that year, the author of an article in Minds & Machines asks two highly pertinent questions for robotics: 1) If a robot is able to participate in simple language games as adequately as a child, should we concede true meaning and intelligence to it? and 2) How would we go about developing a robot which could possibly live up to a positive answer to the first question? My approach is straightforward: a) refute the first question, so as to b) forget the last. I then argue in favour of supporting another well-known sub-domain of AI/HCI/Robotics thought in order to stimulate research in the artificial sciences.
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    ABSTRACT: Discussion about the application of scientific knowledge in robotics in order to build people helpers is widespread. The issue herein addressed is philosophically poignant, that of robots that are “people”. It is currently popular to speak about robots and the image of Man. Behind this lurks the dialogical mind and the questions about the significance of an artificial version of it. Without intending to defend or refute the discourse in favour of ‘recreating’ Man, a lesser familiar question is brought forth: “and what if we were capable of creating a very convincible replica of man (constructing a robot-person), what would the consequences of this be and would we be satisfied with such technology?” Thorny topic; it questions the entire knowledge foundation upon which strong AI/Robotics is positioned. The author argues for improved monitoring of technological progress and thus favours implementing weaker techniques.
    Minds and Machines 01/2005; 15(2):195-205. · 0.46 Impact Factor
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    ABSTRACT: Technologies such as the Internet and World Wide Web are changing our conceptions of information systems, from who uses them and how they are used, to how the systems are created and who is doing the creating. Everyday users are afforded the same information retrieval opportunities as information scientists or librarians by using emerging information systems such as the Web. Yet, defining best practices for assisting users in finding the information they seek remains an unrealized goal. Discovering how users engage in information retrieval and strategy building while searching for information in open-ended systems such as the Web is an area in need of exploration if these systems are to fulfill their potential as tools for information seeking and learning. This paper describes a theoretically and empirically based framework for how users formulate and employ information-seeking strategies in open-ended information systems (OEISs). Background information and challenges related to OEISs are provided. OEIS theoretical and user perspectives are described. An example based on a recent research study is provided to illustrate use of the OEIS information-seeking framework. Implications for practice and research are offered.
    Educational Technology Research and Development 02/1999; 47(1):5-27. · 1.09 Impact Factor


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Jun 4, 2014