Results for ' User Interface'

979 found
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  1.  93
    User interfaces for communication bridges across the digital divide.Edwin H. Blake & William D. Tucker - 2006 - AI and Society 20 (2):232-242.
    Connecting people across the digital divide is as much a social effort as a technological one. We are developing a community-centred approach to learn how interaction techniques can compensate for poor communication across the digital divide. We have incorporated the lessons learned regarding social intelligence design in an abstraction and in a device called the SoftBridge. The SoftBridge allows communication to flow from endpoints through adapters, getting converted if necessary, and out to destination endpoints. Field trials are underway with two (...)
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  2. User interface design.Andrew Dillon - 2003 - In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group.
  3. Designing user interfaces for problem solving, with application to hypertext and creative writing.Harold Thimbleby - 1994 - AI and Society 8 (1):29-44.
    Interactive computer systems can support their users in problem solving, both in Performing their work tasks and in using the systems themselves. Not only is direct support for heuristics beneficial, but to do so modifies the form of computer support provided. This Paper defines and explores the use of problem solving heuristics in user interface design.
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  4.  31
    Linear mixed-effects models for within-participant psychology experiments: an introductory tutorial and free, graphical user interface (LMMgui).David A. Magezi - 2015 - Frontiers in Psychology 6:110312.
    Linear mixed-effects models (LMMs) are increasingly being used for data analysis in cognitive neuroscience and experimental psychology, where within-participant designs are common. The current article provides an introductory review of the use of LMMs for within-participant data analysis and describes a free, simple, graphical user interface (LMMgui). LMMgui uses the package lme4 (Bates et al., 2014a, b ) in the statistical environment R (R Core Team).
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  5. User interface tools for telerobotic systems for handling hazardous waste.Edward Angel, Forrest Thompson, Anthony Ferrara & Jeff VanDyke - 1991 - Ai 1991 Frontiers in Innovative Computing for the Nuclear Industry Topical Meeting, Jackson Lake, Wy, Sept. 15-18, 1991 1.
     
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  6.  15
    How user interfaces can improve DSSs: visual simulation modelling.Jasna Kuljis - 1995 - Journal of Intelligent Systems 5 (2-4):225-248.
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  7.  29
    A new tangible user interface for machine learning document review.Caroline Privault, Jacki O’Neill, Victor Ciriza & Jean-Michel Renders - 2010 - Artificial Intelligence and Law 18 (4):459-479.
    This paper describes a tool for assisting lawyers and paralegal teams during document review in eDiscovery. The tool combines a machine learning technology (CategoriX) and advanced multi-touch interface capable of not only addressing the usual cost, time and accuracy issues in document review, but also of facilitating the work of the review teams by capitalizing on the intelligence of the reviewers and enabling collaborative work.
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  8.  12
    MUDS as textbased spatial user interfaces and research tools.Jolanda Tromp & Andreas Dieberger - 1995 - Journal of Intelligent Systems 5 (2-4):179-202.
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  9.  23
    Semiotics of the user interface.René Jorna & Barend van Heusden - 1996 - Semiotica 109 (3-4):237-250.
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  10.  15
    Automatically generating personalized user interfaces with Supple.Krzysztof Z. Gajos, Daniel S. Weld & Jacob O. Wobbrock - 2010 - Artificial Intelligence 174 (12-13):910-950.
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  11.  21
    A Theoretical Framework of Haptic Processing in Automotive User Interfaces and Its Implications on Design and Engineering.Stefan Josef Breitschaft, Stella Clarke & Claus-Christian Carbon - 2019 - Frontiers in Psychology 10:455986.
    Driving a car is a highly visual task. Despite the trend towards increased driver assistance and autonomous vehicles, drivers still need to interact with the car for both driving and non-driving relevant tasks, at times simultaneously. The often-resulting high cognitive load is a safety issue which can be addressed by providing the driver with alternative feedback modalities, such as haptics. Recent trends in the automotive industry are moving towards the seamless integration of control elements through touch-sensitive surfaces. Psychological knowledge on (...)
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  12.  15
    NPSNET: Four user interface paradigms for entity control in a virtual world.David Pratt, John Locke, Paul Barham & John Falby - 1995 - Journal of Intelligent Systems 5 (2-4):89-110.
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  13. The role of cognitive modeling for user interface design representations: An epistemological analysis of knowledge engineering in the context of human-computer interaction. [REVIEW]Markus F. Peschl & Chris Stary - 1998 - 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 that in a first (...)
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  14.  8
    Assessing neuroelectrical markers of emotional appraisal during the interaction with adaptive user interfaces.Feroze Malik, Kathrin Pollmann, Matthias Peissner & Mathias Vukelić - 2018 - Frontiers in Human Neuroscience 12.
  15.  21
    Engineering Service Descriptions from Legacy User Interfaces: An Asset Management Example.A. Johnston & M. Lycett - 2006 - Journal of Intelligent Systems 15 (1-4):203-232.
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  16.  49
    Conflicting directional and locational cues afforded by arrowhead cursors in graphical user interfaces.James G. Phillips, Thomas J. Triggs & James W. Meehan - 2003 - Journal of Experimental Psychology: Applied 9 (2):75.
  17.  13
    Corrigendum: Linear mixed-effects models for within-participant psychology experiments: an introductory tutorial and free, graphical user interface.David A. Magezi - 2019 - Frontiers in Psychology 10.
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  18.  62
    User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface.Minkyu Ahn, Hohyun Cho, Sangtae Ahn & Sung C. Jun - 2018 - Frontiers in Human Neuroscience 12.
  19. Reader as user: Applying interface design techniques to the Web.Karen McGrane Chauss - 1996 - Kairos: A Journal of Rhetoric, Technology, and Pedagogy 1 (2).
    he World Wide Web is not just an electronic display of text and information. To navigate the WWW, readers need to make decisions about how to pursue and translate their decisions into physical actions. The Web is an interface. -/- Because the WWW shares common ground with both papertext writing and with software interfaces, theories and research from interface design, human-computer interaction, and cognitive science can be used to improve web page interfaces and make the design and presentation (...)
     
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  20.  30
    What It Takes to Be a Pioneer: Ability Expectations From Brain-Computer Interface Users.Johannes Kögel & Gregor Wolbring - 2020 - NanoEthics 14 (3):227-239.
    Brain-computer interfaces are envisioned to enable new abilities of action. This potential can be fruitful in particular when it comes to restoring lost motion or communication abilities or to implementing new possibilities of action. However, BCIs do not come without presuppositions. Applying the concept of ability expectations to BCIs, a wide range of requirements on the side of the users becomes apparent. We examined these ability expectations by taking the example of therapeutic BCI users who got enrolled into BCI research (...)
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  21.  19
    The interface envelope: gaming, technology, power.James Ash - 2015 - New York: Bloomsbury Academic, an imprint of Bloomsbury Publishing.
    In The Interface Envelope, James Ash develops a series of concepts to understand how digital interfaces work to shape the spatial and temporal perception of players. Drawing upon examples from videogame design and work from post-phenomenology, speculative realism, new materialism and media theory, Ash argues that interfaces create envelopes, or localised foldings of space time, around which bodily and perceptual capacities are organised for the explicit production of economic profit. Modifying and developing Bernard Stiegler's account of psychopower and Warren (...)
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  22.  12
    A direct manipulation interface for a user enhanceable crowd simulator.Len Bottaci - 1995 - Journal of Intelligent Systems 5 (2-4):249-272.
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  23.  47
    Expert systems as extensions of the human mind: A user oriented, holistic approach to the design of multiple reasoning system environments and interfaces. [REVIEW]Barbara Gorayska & Kevin Cox - 1992 - AI and Society 6 (3):245-262.
    Expert systems have had little impact as computing artifacts. In this paper we argue that the reason for this stems from the underlying assumption of most builders of expert systems that an expert system needs to acquire information and to control the interaction between the human user and itself. We show that this assumption has serious linguistic and usability flaws which diminish the likelihood of producing socially acceptable expert systems. We propose a reversal of this paradigm, for the design (...)
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  24.  52
    Haptically creating affordances: The user-tool interface.Jeffrey B. Wagman & Claudia Carello - 2003 - Journal of Experimental Psychology: Applied 9 (3):175.
  25.  20
    The tenuous interface: Policymakers, researchers and user-publics the case of the netherlands’ development cooperation.Leen Boer & Louk Box - 1993 - Knowledge, Technology & Policy 6 (3-4):158-175.
  26. Ghost in the Machine: A Philosophical Analysis of the Relationship Between Brain-Computer Interface Applications and their Users.Richard Heersmink - 2009 - Dissertation, University of Twente.
    This Master’s thesis explores the relationship between Brain-Computer Interfaces (BCIs) and their human users from a functional, epistemological and phenomenological perspective. The analysis has four steps. I start out with a technical description of BCI systems in which I conceptually analyze different types of BCI applications. This results in the development of a taxonomy of applications which is the point of departure for further philosophical analysis. Thereafter, I explore the functional relationship between BCI applications and their users. That is to (...)
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  27.  56
    What is it like to use a BCI? – insights from an interview study with brain-computer interface users.Johannes Kögel, Ralf J. Jox & Orsolya Friedrich - 2020 - BMC Medical Ethics 21 (1):1-14.
    BackgroundThe neurotechnology behind brain-computer interfaces (BCIs) raises various ethical questions. The ethical literature has pinpointed several issues concerning safety, autonomy, responsibility and accountability, psychosocial identity, consent, privacy and data security. This study aims to assess BCI users’ experiences, self-observations and attitudes in their own right and looks for social and ethical implications.MethodsWe conducted nine semi-structured interviews with BCI users, who used the technology for medical reasons. The transcribed interviews were analyzed according to the Grounded Theory coding method.ResultsBCI users perceive themselves (...)
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  28.  13
    The impact of different age-friendly smart home interface styles on the interaction behavior of elderly users.Chengmin Zhou, Yawen Qian, Ting Huang, Jake Kaner & Yurong Zhang - 2022 - Frontiers in Psychology 13.
    Smart homes create a beneficial environment for the lives of elderly people and enhance the quality of their home lives. This study aims to explore the design of age-friendly interfaces that can meet the emotional needs of self-care elderly people from the perspective of functional realization of the operating interface. Sixteen elderly users aged fifty-five and above were selected as subjects with healthy eyes and no excessive drooping eyelids to obscure them. Four representative age-friendly applications with different interface (...)
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  29. Semantic Transparency in User Assistance Systems.Michael Kohlhase - unknown
    transparency as a user interface property that enables giving appropriate help. We explicate this notion in document player applications found in office suites, for example. Moreover, we show how semantic transparency can be strengthened when the underlying software is complemented by a semantic ally system. The approach consists in illustrating existing software semantically. We present some semantic extensions of office applications as examples. We also deaction task. scribe how the semantic transparency approach allows the..
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  30.  50
    Conceptualizations of user autonomy within the normative evaluation of dark patterns.Jyoti Kumar & Sanju Ahuja - 2022 - Ethics and Information Technology 24 (4):1-18.
    Dark patterns have received significant attention in literature as interface design practices which undermine users’ autonomy by coercing, misleading or manipulating their decision making and behavior. Individual autonomy has been argued to be one of the normative lenses for the evaluation of dark patterns. However, theoretical perspectives on autonomy have not been sufficiently adapted in literature to identify the ethical concerns raised by dark patterns. The aim of this paper is to conceptualize user autonomy within the context of (...)
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  31.  49
    Study on Smart Home Interface Design Characteristics Considering the Influence of Age Difference: Focusing on Sliders.Na Yu, Ziwei Ouyang & Hehe Wang - 2022 - Frontiers in Psychology 13.
    Smart homes represent an effective approach to improve one’s quality of life. Developing user interfaces that are both comfortable and understandable can assist users, particularly the elderly, embrace smart home technologies. It’s critical to concentrate on the characteristics of smart home interface design and their impact on people of various ages. Since sliders are one of the most common components utilized in the smart home user interface, this article aimed to investigate the effects of slider design (...)
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  32.  56
    An auditory multiclass brain-computer interface with natural stimuli: Usability evaluation with healthy participants and a motor impaired end user.Nadine Simon, Ivo Kã¤Thner, Carolin A. Ruf, Emanuele Pasqualotto, Andrea Kã¼Bler & Sebastian Halder - 2014 - Frontiers in Human Neuroscience 8.
  33.  14
    On the Politics of Chrono-Design: Capture, Time and the Interface.Michael Dieter & David Gauthier - 2019 - Theory, Culture and Society 36 (2):61-87.
    This article makes a contribution to interface criticism through the notion of chrono-design: the deliberate shaping of experiences of temporality and time through contemporary software techniques and digital technologies. This notion is articulated through discussions of network optimisation, user experience design, behavioural tracking, Hansen’s work on 21st-century media and Hayles’ framework of cognitive assemblages. In particular, the argument considers how contemporary user interfaces complicate conventional notions of the rational, self-reflexive subject by operating beyond consciousness at vast environmental (...)
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  34. People with Disabilities: Human Computer Interface-A User-Orientation Evaluation Framework: Assessing Accessibility Throughout the User Experience Lifecycle.Alexandros Mourouzis, Margherita Antona, Evagelos Boutsakis & Constantine Stephanidis - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes In Computer Science. Springer Verlag. pp. 421-428.
  35. Did I Do That? Brain–Computer Interfacing and the Sense of Agency.Pim Haselager - 2013 - Minds and Machines 23 (3):405-418.
    Brain–computer interfacing (BCI) aims at directly capturing brain activity in order to enable a user to drive an application such as a wheelchair without using peripheral neural or motor systems. Low signal to noise ratio’s, low processing speed, and huge intra- and inter-subject variability currently call for the addition of intelligence to the applications, in order to compensate for errors in the production and/or the decoding of brain signals. However, the combination of minds and machines through BCI’s and intelligent (...)
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  36.  14
    User Agency in the Middle Range: Rumors and the Reinvention of the Internet in Accra, Ghana.Jenna Burrell - 2011 - Science, Technology, and Human Values 36 (2):139-159.
    This article is an analysis of rumors about Internet scamming told by Internet café users in the West African capital city of Accra, Ghana. Rumors provided accounts of how the Internet can be effectively operated by young Ghanaians to realize ‘‘big gains’’ through foreign connections. Yet these accounts were contradicted by the less promising direct experiences users had at the computer interface. Rumors amplified evidence of wildly successful as well as especially harmful encounters with the Internet. Rather than simply (...)
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  37.  13
    Gender and interface agents in the on-line news.Pekka Isotalus - 2009 - Communications 34 (1):39-53.
    Interface agents are increasingly being used to enhance the user-friendliness of computers. In the new mobile technology of handheld computers, interface agents are also being used to present on-line news. The purpose of the study was to explore how the gender of the interface agent and the user affect evaluations of the agent and the news service. The results revealed that attitudes toward the interface agent significantly correlated with evaluations of the entire news service. (...)
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  38.  24
    Hic sunt leones. User orientation as a design principle for emerging institutions on social media platforms.Lavinia Marin & Constantin Vică - forthcoming - AI and Society:1-14.
    The phenomenon of missed interactions between online users is a specific issue occurring when users of different language games interact on social media platforms. We use the lens of institutional theory to analyze this phenomenon and argue that current online institutions will necessarily fail to regulate user interactions in a way that creates common meanings because online institutions are not set up to deal with the multiplicity of language games and forms of life co-existing in the online social space. (...)
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  39.  61
    The Roles of User/Producer Hybrids in the Production of Translational Science.Conor M. W. Douglas, Bryn Lander, Cory Fairley & Janet Atkinson-Grosjean - 2015 - Social Epistemology 29 (3):323-343.
    This paper explores the interface between users and producers of translational science through three case studies. It argues that effective TS requires a breakdown between user and producer roles: users become producers and producers become users. In making this claim, we challenge conventional understandings of TS as well as linear models of innovation. Policy-makers and funders increasingly expect TS and its associated socioeconomic benefits to occur when funding scientific research. We argue that a better understanding of the hybridity (...)
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  40.  34
    An explanation space to align user studies with the technical development of Explainable AI.Garrick Cabour, Andrés Morales-Forero, Élise Ledoux & Samuel Bassetto - 2023 - AI and Society 38 (2):869-887.
    Providing meaningful and actionable explanations for end-users is a situated problem requiring the intersection of multiple disciplines to address social, operational, and technical challenges. However, the explainable artificial intelligence community has not commonly adopted or created tangible design tools that allow interdisciplinary work to develop reliable AI-powered solutions. This paper proposes a formative architecture that defines the explanation space from a user-inspired perspective. The architecture comprises five intertwined components to outline explanation requirements for a task: (1) the end-users’ mental (...)
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  41.  99
    On Invention of Structure in the World: Interfaces and Conscious Agents.Chetan Prakash - 2020 - Foundations of Science 25 (1):121-134.
    The Interface Theory of Perception, as stated by D. Hoffman, says that perceptual experiences do not to approximate properties of an “objective” world; instead, they have evolved to provide a simplified, species-specific, user interface to the world. Conscious Realism states that the objective world consists of ‘conscious agents’ and their experiences. Under these two theses, consciousness creates all objects and properties of the physical world: the problem of explaining this process reverses the mind-body problem. In support of (...)
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  42. Psychosocial and Ethical Aspects in Non-Invasive EEG-Based BCI Research—A Survey Among BCI Users and BCI Professionals.Gerd Grübler, Abdul Al-Khodairy, Robert Leeb, Iolanda Pisotta, Angela Riccio, Martin Rohm & Elisabeth Hildt - 2013 - Neuroethics 7 (1):29-41.
    In this paper, the results of a pilot interview study with 19 subjects participating in an EEG-based non-invasive brain–computer interface (BCI) research study on stroke rehabilitation and assistive technology and of a survey among 17 BCI professionals are presented and discussed in the light of ethical, legal, and social issues in research with human subjects. Most of the users were content with study participation and felt well informed. Negative aspects reported include the long and cumbersome preparation procedure, discomfort with (...)
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  43. Committing Crimes with BCIs: How Brain-Computer Interface Users can Satisfy Actus Reus and be Criminally Responsible.Kramer Thompson - 2021 - Neuroethics 14 (S3):311-322.
    Brain-computer interfaces allow agents to control computers without moving their bodies. The agents imagine certain things and the brain-computer interfaces read the concomitant neural activity and operate the computer accordingly. But the use of brain-computer interfaces is problematic for criminal law, which requires that someone can only be found criminally responsible if they have satisfied the actus reus requirement: that the agent has performed some (suitably specified) conduct. Agents who affect the world using brain-computer interfaces do not obviously perform any (...)
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  44.  42
    Resolving the paradox of the active user: stable suboptimal performance in interactive tasks.Wai-Tat Fu & Wayne D. Gray - 2004 - Cognitive Science 28 (6):901-935.
    This paper brings the intellectual tools of cognitive science to bear on resolving the “paradox of the active user” [Interfacing Thought: Cognitive Aspects of Human–Computer Interaction, Cambridge, MIT Press, MA, USA]—the persistent use of inefficient procedures in interactive tasks by experienced or even expert users when demonstrably more efficient procedures exist. The goal of this paper is to understand the roots of this paradox by finding regularities in these inefficient procedures. We examine three very different data sets. For each (...)
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  45.  40
    The influence of robot personality on perceived and preferred level of user control.Bernt Meerbeek, Jettie Hoonhout, Peter Bingley & Jacques M. B. Terken - 2008 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 9 (2):204-229.
    This paper describes the design and evaluation of a personality for the robotic user interface “iCat”. An application was developed that helps users find a TV-programme that fits their interests. Two experiments were conducted to investigate what personality users prefer for the robotic TV-assistant, what level of control they prefer, and how personality and the level of control relate to each other. The first experiment demonstrated that it is possible to create convincing personalities of the TV-assistant by applying (...)
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  46.  19
    A Hybrid Brain-Computer Interface Based on Visual Evoked Potential and Pupillary Response.Lu Jiang, Xiaoyang Li, Weihua Pei, Xiaorong Gao & Yijun Wang - 2022 - Frontiers in Human Neuroscience 16.
    Brain-computer interface based on steady-state visual evoked potential has been widely studied due to the high information transfer rate, little user training, and wide subject applicability. However, there are also disadvantages such as visual discomfort and “BCI illiteracy.” To address these problems, this study proposes to use low-frequency stimulations, which can simultaneously elicit visual evoked potential and pupillary response to construct a hybrid BCI system. Classification accuracy was calculated using supervised and unsupervised methods, respectively, and the hybrid accuracy (...)
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  47.  29
    Convivo communicator: An interface‐adaptive VoIP system for poor quality networks.Marco A. Escobar & Michael L. Best - 2003 - Journal of Information, Communication and Ethics in Society 1 (3):167-180.
    Convivo is a VoIP system designed to provide reliable voice communication for poor quality networks, especially those found in rural areas of the developing world. Convivo introduces an original approach to maintain voice communication interaction in the presence of poor network performance: an Interface‐ Adaptation mechanism that adjusts the user interface to reduce the impact of high latency and low bandwidth networks. Interface modes facilitate turn taking for high latency connections, and help to sustain voice communication (...)
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  48.  90
    Ethical aspects of brain computer interfaces: a scoping review.Sasha Burwell, Matthew Sample & Eric Racine - 2017 - BMC Medical Ethics 18 (1):60.
    Brain-Computer Interface is a set of technologies that are of increasing interest to researchers. BCI has been proposed as assistive technology for individuals who are non-communicative or paralyzed, such as those with amyotrophic lateral sclerosis or spinal cord injury. The technology has also been suggested for enhancement and entertainment uses, and there are companies currently marketing BCI devices for those purposes as well as health-related purposes. The unprecedented direct connection created by BCI between human brains and computer hardware raises (...)
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  49.  33
    How to approximate users' values while preserving privacy: experiences with using attitudes towards work tasks as proxies for personal value elicitation. [REVIEW]Sven H. Koch, Rumyana Proynova, Barbara Paech & Thomas Wetter - 2013 - Ethics and Information Technology 15 (1):45-61.
    Software users have different sets of personal values, such as benevolence, self-direction, and tradition. Among other factors, these personal values influence users’ emotions, preferences, motivations, and ways of performing tasks—and hence, information needs. Studies of user acceptance indicate that personal traits like values and related soft issues are important for the user’s approval of software. If a user’s dominant personal value were known, software could automatically show an interface variant which offers information and functionality that best (...)
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  50.  26
    The sense of the interface: Applying semiotics to HCI research.Carlos Scolari - 2009 - Semiotica 2009 (177):1-27.
    The objective of this article is to reflect on the application of Semiotics to Human-Computer Interaction (HCI) and interface analysis. To accomplish the objective the article presents an example of semiotic analysis of a blog interface but the methodology proposed, conveniently adapted, may be applied to any kind of digital interactive environment. The analysis reconstructs the interface sense production device (including the surface of the page and the link architecture), identifies implied users and exchange scenes of the (...)
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