111,781 research outputs found
Biocybernetic Adaptation Strategies: Machine awareness of human state for improved operational performance
Human operators interacting with machines or computers continually adapt to the needs of the system ideally resulting in optimal performance. In some cases, however, deteriorated performance is an outcome. Adaptation to the situation is a strength expected of the human operator which is often accomplished by the human through self-regulation of mental state. Adaptation is at the core of the human operator’s activity, and research has demonstrated that the implementation of a feedback loop can enhance this natural skill to improve training and human/machine interaction. Biocybernetic adaptation involves a “loop upon a loop,” which may be visualized as a superimposed loop which senses a physiological signal and influences the operator’s task at some point. Biocybernetic adaptation in, for example, physiologically adaptive automation employs the “steering” sense of “cybernetic,” and serves a transitory adaptive purpose – to better serve the human operator by more fully representing their responses to the system. The adaptation process usually makes use of an assessment of transient cognitive state to steer a functional aspect of a system that is external to the operator’s physiology from which the state assessment is derived. Therefore, the objective of this paper is to detail the structure of biocybernetic systems regarding the level of engagement of interest for adaptive systems, their processing pipeline, and the adaptation strategies employed for training purposes, in an effort to pave the way towards machine awareness of human state for self-regulation and improved operational performance
Biocybernetic Adaptation Strategies: Machine Awareness of Human Engagement for Improved Operational Performance
Human operators interacting with machines or computers continually adapt to the needs of the system ideally resulting in optimal performance. In some cases, however, deteriorated performance is an outcome. Adaptation to the situation is a strength expected of the human operator which is often accomplished by the human through self-regulation of mental state. Adaptation is at the core of the human operator's activity, and research has demonstrated that the implementation of a feedback loop can enhance this natural skill to improve training and human/machine interaction. Biocybernetic adaptation involves a loop upon a loop, which may be visualized as a superimposed loop which senses a physiological signal and influences the operators task at some point. Biocybernetic adaptation in, for example, physiologically adaptive automation employs the steering sense of cybernetic, and serves a transitory adaptive purpose to better serve the human operator by more fully representing their responses to the sys- tem. The adaptation process usually makes use of an assessment of transient cog- nitive state to steer a functional aspect of a system that is external to the operators physiology from which the state assessment is derived. Therefore, the objective of this paper is to detail the structure of biocybernetic systems regarding the level of engagement of interest for adaptive systems, their processing pipeline, and the adaptation strategies employed for training purposes, in an effort to pave the way towards machine awareness of human state for self-regulation and improved operational performance
Theory of Robot Communication: II. Befriending a Robot over Time
In building on theories of Computer-Mediated Communication (CMC), Human-Robot
Interaction, and Media Psychology (i.e. Theory of Affective Bonding), the
current paper proposes an explanation of how over time, people experience the
mediated or simulated aspects of the interaction with a social robot. In two
simultaneously running loops, a more reflective process is balanced with a more
affective process. If human interference is detected behind the machine,
Robot-Mediated Communication commences, which basically follows CMC
assumptions; if human interference remains undetected, Human-Robot
Communication comes into play, holding the robot for an autonomous social
actor. The more emotionally aroused a robot user is, the more likely they
develop an affective relationship with what actually is a machine. The main
contribution of this paper is an integration of Computer-Mediated
Communication, Human-Robot Communication, and Media Psychology, outlining a
full-blown theory of robot communication connected to friendship formation,
accounting for communicative features, modes of processing, as well as
psychophysiology.Comment: Hoorn, J. F. (2018). Theory of robot communication: II. Befriending a
robot over time. arXiv:cs, 2502572(v1), 1-2
Affordances and Safe Design of Assistance Wearable Virtual Environment of Gesture
Safety and reliability are the main issues for designing assistance wearable
virtual environment of technical gesture in aerospace, or health application
domains. That needs the integration in the same isomorphic engineering
framework of human requirements, systems requirements and the rationale of
their relation to the natural and artifactual environment.To explore coupling
integration and design functional organization of support technical gesture
systems, firstly ecological psychologyprovides usa heuristicconcept: the
affordance. On the other hand mathematical theory of integrative physiology
provides us scientific concepts: the stabilizing auto-association principle and
functional interaction.After demonstrating the epistemological consistence of
these concepts, we define an isomorphic framework to describe and model human
systems integration dedicated to human in-the-loop system engineering.We
present an experimental approach of safe design of assistance wearable virtual
environment of gesture based in laboratory and parabolic flights. On the
results, we discuss the relevance of our conceptual approach and the
applications to future assistance of gesture wearable systems engineering
Affective games:a multimodal classification system
Affective gaming is a relatively new field of research that exploits human emotions to influence gameplay for an enhanced player experience. Changes in player’s psychology reflect on their behaviour and physiology, hence recognition of such variation is a core element in affective games. Complementary sources of affect offer more reliable recognition, especially in contexts where one modality is partial or unavailable. As a multimodal recognition system, affect-aware games are subject to the practical difficulties met by traditional trained classifiers. In addition, inherited game-related challenges in terms of data collection and performance arise while attempting to sustain an acceptable level of immersion. Most existing scenarios employ sensors that offer limited freedom of movement resulting in less realistic experiences. Recent advances now offer technology that allows players to communicate more freely and naturally with the game, and furthermore, control it without the use of input devices. However, the affective game industry is still in its infancy and definitely needs to catch up with the current life-like level of adaptation provided by graphics and animation
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