Purpose: Older adults are more susceptible to fraud offline than younger adults. As they increasingly use the internet for activities including managing financial assets, this susceptibility is transferred online. thu...
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Purpose: Older adults are more susceptible to fraud offline than younger adults. As they increasingly use the internet for activities including managing financial assets, this susceptibility is transferred online. thus, there is an imminent need to communicate the risks inherent in these new technologies, especially that of data disclosure, to older adults. these risks might best be communicated by using appropriate mental models and grounding analogies in more familiar risks, e.g. physical risks. Using videos rather than text may improve comprehension as well as address other concerns of aging, e.g. attention and memory. While videos can lead to richer comprehension, multi-media communications can challenge cognitive reserves. We present the design of narrative-driven risk communication videos that leverage physical analogies to answer the following questions: (i) What are the determinants of older adults perception of online risk, specifically for responding to phishing and malware e-mails?;and (ii) What is the effect on comprehension when using videos as opposed to text? Method: To investigate the determinants of older adults' perceptions of online risk, Garg and Camp investigated a nine-dimensional model of risk perception that is based on an expressed preferences. they found that not all the nine dimensions are equally relevant online. they proposed a five-dimensional model for online risks consisting of voluntariness, immediacy, control, chronic-catastrophic, and severity. these dimensions were adapted to create a survey to assess elders' determinants of risk. For example, voluntariness is redefined as, "To what extent does an older adult have a choice in being exposed to this risk? (1=Voluntary, 5= Involuntary)". Our second question, whether video is more effective than text in communicating risk, was evaluated by participant comprehension: participants' ability to identify the risk, the attack vector, the impact of risk if exploited, and strategies to avoid
In the typical computer control systems the core control algorithm itself is usually hard coded in a fixed form in a computer program. As such the control algorithm is not easily adjustable for run-time changing contr...
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In the typical computer control systems the core control algorithm itself is usually hard coded in a fixed form in a computer program. As such the control algorithm is not easily adjustable for run-time changing control goals and usually if any kind of reconfiguration of the algorithm is required, it can only be achieved via some kind of external tuning. In this paper a software architecture of Fuzzy Logic controller algorithm for control of DC generator with separate excitation is presented. As such, the generator is a non-linear system due to the non-linear magnetization characteristic of its excitation circuit. Novelty of the paper lies in using the Open Decision Point component architecture to implement a flexible control algorithm where the core decision making logic is run-time loadable, configurable and replaceable which does not only enable parametric adjustment of control strategy but also changing the control strategy itself.
A well-known reactive motion planning technique, the dynamic window approach (DWA) provides an elegant way to navigate safely in the presence of obstacles, also taking the dynamic properties of the robot into account....
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A well-known reactive motion planning technique, the dynamic window approach (DWA) provides an elegant way to navigate safely in the presence of obstacles, also taking the dynamic properties of the robot into account. Most of the DWA-based methods have the same limitation, namely they use an objective function consisting of weighted terms. Different situations require different weights, however, there is no algorithm for choosing them. this paper presents a global dynamic window-based navigation scheme using model predictive control and having no weighted objective function. Former DWA-based methods take dynamic limitations of the robot by acceleration constraints into account. In contrast withthat, the proposed approach utilizes a dynamic motion model of the robot.
this paper discusses implementation aspects related to a Particle Swarm Optimization (PSO) algorithm, a Gravitational Search Algorithm (GSA) and a hybrid PSO-GSA. these evolutionary optimization algorithms are applied...
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Analysis of time-series became an inevitable tool in applied settings, such as stock market analysis, process and quality control, observation of natural phenomena, medical treatments, and in the behavioral science, s...
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ISBN:
(纸本)9781450312400
Analysis of time-series became an inevitable tool in applied settings, such as stock market analysis, process and quality control, observation of natural phenomena, medical treatments, and in the behavioral science, such as psychological research. In this paper, we utilize a new kind of a tool set for time-series analysis (FAP, developed at Department of Mathematics and informatics, University of Novi Sad) on behavioral data gained from a specific experimental lab system, a so called Socially Augmented Microworld withthree human participants (developed by informatics and psychologists for Human Factors Research at Humboldt University Berlin). On the basis of these data (logfiles) we extracted three types of time-series and generated distance matrices using three kinds of time-series similarity measures. Finally, the clustering of generated distance matrices produced dendrograms which serve as the basis for a deeper analysis of human behavior. the outcome of this analysis is two-fold: (a) it allows to select the most suitable similarity measure for this domain of experimental research and (b) these results can serve as a basis for the development of artificial agents, which may in turn replace the human participants in the experiment. Copyright 2012 ACM.
this paper presents the conceptual design and simulation of a rotational parallel robot. this robot is used to reproduce movement;the robot workspace, inverse kinematic study and a simulation of the system in a trajec...
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In the paper finite-dimensional dynamical control systems described by first order semilinear both stationary and nonstationary ordinary differential state equations with single variable point delay in control are con...
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In the paper finite-dimensional dynamical control systems described by first order semilinear both stationary and nonstationary ordinary differential state equations with single variable point delay in control are considered. Using a generalized open mapping theorem, sufficient conditions for constrained local controllability in a given time interval are formulated and proved. these conditions require verification of constrained global controllability of the associated linear first-order stationary or nonstationary dynamical control systems. It is generally assumed, that the values of admissible controls are in a convex and closed cone with vertex at zero. Moreover, several remarks and comments on the existing results for controllability of semilinear dynamical control systems are also presented. Finally, simple numerical example which illustrates theoretical considerations is also given. It should be pointed out, that the results given in the paper extend for the case of semilinear nonstationary first-order dynamical systems constrained controllability conditions, which were previously known only for linear stationary first-order systems.
We propose a novel approach for transferring evolved control systems from a simulated environment to a real robot. Multiple dynamic simulation systems are simultaneously employed to provide a valid range of simulation...
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ISBN:
(纸本)9781467318716
We propose a novel approach for transferring evolved control systems from a simulated environment to a real robot. Multiple dynamic simulation systems are simultaneously employed to provide a valid range of simulation variance that can be exploited to generate robust controllers in a purely virtual environment. these controllers can then be directly transferred to a physical robot.
Decode the human motion intension precisely in real time is the key problem in coordinated control of the lower extremity exoskeleton. In this research, the relationship between frequency characteristics of sEMG (surf...
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