Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 9849099

Telepresence.

J V Draper·D B Kaber·J M Usher
View original source ↗Export metadata ↓

Abstract

Telepresence, the perception of presence within a physically remote or simulated site, has been identified as a design ideal for synthetic environments. However, confusion exists within the literature about the precise definition of telepresence. Furthermore, there is a need for a plausible and parsimonious model of telepresence. This paper identifies three types of telepresence extant in the literature: simple telepresence, cybernetic telepresence, and experiential telepresence. The third definition is the most interesting. This paper reviews the origins of experiential telepresence and the theoretical approaches commonly used to explain it. One can term these technological approaches, which emphasize the role of control/display technology, and psychological approaches, which identify experiential telepresence with known psychological phenomena. Finally, the paper presents and discusses an integrative approach to telepresence featuring a structured attentional resource model. Actual or potential applications of this research include the design of future human-machine interfaces for teleoperated robots and virtual reality systems.

Explore related subjects

CyberneticsHumansModels, TheoreticalRoboticsUser-Computer InterfaceJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J V Draper, D B Kaber, J M Usher. 1998. Telepresence.. https://doi.org/10.1518/001872098779591386

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2006

Bipedal locomotion: toward unified concepts in robotics and neuroscience.

This review is the result of a joint reflection carried out by researchers in the fields of robotics and automatic control on the one hand and neuroscience on the other, both trying to answer the same question: what are the functional bases of bipedal locomotion and how can they be controlled? The originality of this work is to synthesize the two approaches in order to take advantage of the knowledge concerning the adaptability and reactivity performances of humans and of the rich tools and formal concepts available in biped robotics. Indeed, we claim that the theoretical framework of robotics can enhance our understanding of human postural control by formally expressing the experimental concepts used in neuroscience. Conversely, biological knowledge of human posture and gait can inspire biped robot design and control. Therefore, both neuroscientists and roboticists should find useful information in this paper.

Cybernetics↗
PubMed2006

Head tilt-translation combinations distinguished at the level of neurons.

Angular and linear accelerations of the head occur throughout everyday life, whether from external forces such as in a vehicle or from volitional head movements. The relative timing of the angular and linear components of motion differs depending on the movement. The inner ear detects the angular and linear components with its semicircular canals and otolith organs, respectively, and secondary neurons in the vestibular nuclei receive input from these vestibular organs. Many secondary neurons receive both angular and linear input. Linear information alone does not distinguish between translational linear acceleration and angular tilt, with its gravity-induced change in the linear acceleration vector. Instead, motions are thought to be distinguished by use of both angular and linear information. However, for combined motions, composed of angular tilt and linear translation, the infinite range of possible relative timing of the angular and linear components gives an infinite set of motions among which to distinguish the various types of movement. The present research focuses on motions consisting of angular tilt and horizontal translation, both sinusoidal, where the relative timing, i.e. phase, of the tilt and translation can take any value in the range -180 degrees to 180 degrees . The results show how hypothetical neurons receiving convergent input can distinguish tilt from translation, and that each of these neurons has a preferred combined motion, to which the neuron responds maximally. Also shown are the values of angular and linear response amplitudes and phases that can cause a neuron to be tilt-only or translation-only. Such neurons turn out to be sufficient for distinguishing between combined motions, with all of the possible relative angular-linear phases. Combinations of other neurons, as well, are shown to distinguish motions. Relative response phases and in-phase firing-rate modulation are the key to identifying specific motions from within this infinite set of combined motions.

Cybernetics↗
PubMed2006

Reflections on biomedical informatics: from cybernetics to genomic medicine and nanomedicine.

Expanding on our previous analysis of Biomedical Informatics (BMI), the present perspective ranges from cybernetics to nanomedicine, based on its scientific, historical, philosophical, theoretical, experimental, and technological aspects as they affect systems developments, simulation and modelling, education, and the impact on healthcare. We then suggest that BMI is still searching for strong basic scientific principles around which it can crystallize. As -omic biological knowledge increasingly impacts the future of medicine, ubiquitous computing and informatics become even more essential, not only for the technological infrastructure, but as a part of the scientific enterprise itself. The Virtual Physiological Human and investigations into nanomedicine will surely produce yet more unpredictable opportunities, leading to significant changes in biomedical research and practice. As a discipline involved in making such advances possible, BMI is likely to need to re-define itself and extend its research horizons to meet the new challenges.

Cybernetics↗