Automated stress detection is important in developing adaptive e-learning systems. Empirical evidence suggests that mouse dynamics and keyboard dynamics analyses can be both effective in user behaviour modelling as we...
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Automated stress detection is important in developing adaptive e-learning systems. Empirical evidence suggests that mouse dynamics and keyboard dynamics analyses can be both effective in user behaviour modelling as well as emotion detection compared to physiological measures and facial expression recognitions, and yet they are far less expensive and considered non-intrusive. This paper investigates how mouse dynamics and keyboard dynamics can be affected by emotional stress, particularly stress induced by time pressure, text length and language familiarity. Our research findings show that longer text and unfamiliar language raise users' stress perceptions. Demanding job such as long typing task could result in anomalous behaviours once the users have lost motivation. Language familiarity mainly affects keyboard behaviour but text length change mouse behaviour. This shows that there is a good potential of developing an adaptive e-learning system by detecting learners' emotional stress from keyboard and mouse input.
One should not ignore the fact that affect (or emotion) plays an important role in cognition and learning. For instance, badly designed interface brings negative impact on user's performance if the user does not f...
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One should not ignore the fact that affect (or emotion) plays an important role in cognition and learning. For instance, badly designed interface brings negative impact on user's performance if the user does not find enjoyment in his or her overall experience with the system. Automatic analyses of user behaviour in adaptive e-learning system development is important and it would be good to have an effective yet flexible computation metrics to learn user's emotion, so that necessary adaptation could be provided to enhance user experience. The introduction of keyboard and mouse analyses shed a light to the development of a non-intrusive and inexpensive automated emotion detection method, as these peripherals are part of the computer system. This research investigates the effects of menu design on users' emotion, search task performance and their mouse behaviours. The results show that the effects of menu design on users' search task performance and their mouse behaviours are statistically significant. Menu design factors do affect users' emotions, which they feel uncomfortable with bad combination of colours, smaller font size, text without code, abbreviated text, use of ambiguous term, random display and the need to scroll. However, their discomfort with the bad menu design does not necessarily affect their search job performance.
Much research has been done to detect human emotion using various computational methods, such as physiological measures and facial expression recognition. These methods are effective but they could be expensive or int...
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Much research has been done to detect human emotion using various computational methods, such as physiological measures and facial expression recognition. These methods are effective but they could be expensive or intrusive as special setups of equipments are needed. Some researchers have utilized non-intrusive methods by using mouse or keyboard analyses and presented comparable effectiveness in detecting human emotion. This paper investigates how both keyboard and mouse features can be combined to detect human stress, particularly cognitive stress induced by time pressure and mental arithmetic problems. The results show that the complexity of the mental arithmetic problem and time pressure affect user behaviour, mouse behaviour and keyboard behaviour significantly. This indicates that automatic analysis of human stress from keyboard and mouse input is potentially useful for providing adaptation in interactive system such as an e-learning system.
Strontium hexaferrite (SrFe 12 O 19 ) particles were prepared by sol gel method at two different calcination temperatures, namely, at 800 °C and 1000 °C. It was found that SrFe 12 O 19 prepared...
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Strontium hexaferrite (SrFe 12 O 19 ) particles were prepared by sol gel method at two different calcination temperatures, namely, at 800 °C and 1000 °C. It was found that SrFe 12 O 19 prepared, at 800 °C showed a mixture of Fe 2 O 3 co-existed while at a higher temperature of 1000 °C, no other oxide impurities was detected. Superconducting quantum interference device (SQUID) was performed on both the sol-gel prepared samples. The coercivity for the low temperature prepared SrFe 12 O 19 showed a much higher value of 6250 Oe compared with the high temperature prepared SrFe 12 O 19 which was only 4500 Oe. In addition to the calcination temperature, the presence of Fe 2 O 3 also affected the coercivity of the hexaferrite particles. Thermogravimetric analysis (TGA) was performed at 950 °C on both the sol-gel samples and it was noted that the low temperature prepared SrFe 12 O 19 has a higher weight loss about 3.2% compared to the high temperature sample which has a much smaller weight loss of only 0.6%. The high weight loss was attributed by the breakdown of Fe 2 O 3 .
An intraocular lens (IOL) is implanted in the eye after a cataract surgery. When an IOL is in an aqueous environment, glistenings that are fluid-filled microvacuoles are often observed. Previously, studies of glisteni...
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ISBN:
(纸本)9789881925275
An intraocular lens (IOL) is implanted in the eye after a cataract surgery. When an IOL is in an aqueous environment, glistenings that are fluid-filled microvacuoles are often observed. Previously, studies of glistenings involved tedious work of manual glistenings labeling and rough estimation of glistening distribution. This paper proposes a software that can be used for automatic glistenings detection. The software evaluates glistenings appearance in a lens, separating the IOL lens into 3 zones and accurately computingthe average area, density and distribution to assist the user. The results are compared with clinicians hand-drawn ground truth for validation. The proposed GUI front-end is easy to use and very suitable for users who want accurate and quick glistenings detection. Numerical results can be achieved without manual drawing and rough estimation.
Today, Air Traffic keep increasing, for this raison, many research programs focus on collision avoidance technique. Aircraft trajectory prediction is a critical issue for Air Traffic Management (ATM). A safe and effic...
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Today, Air Traffic keep increasing, for this raison, many research programs focus on collision avoidance technique. Aircraft trajectory prediction is a critical issue for Air Traffic Management (ATM). A safe and efficient prediction is a prerequisite for the implementation of automated tools that detect and solve conflicts between trajectories. Moreover, regarding the safety constraints, it could be more reasonable to predict intervals rather than precise aircraft positions. This paper a twofold objective; the first one, we develop an approach based on Artificial Neural Networks (ANNs), called Optimization of Multilayer Perceptron Architecture (OMPA), the second one, we use this approach to forecast trajectory in vertical plane to solve conflicts between two aircrafts in airspace.
In the present paper we describe a recent approach of probabilistic self-organizing maps (PRSOM). The PRSOM become more and more interesting in many fields such as: pattern recognition, clustering, classification, spe...
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In the present paper we describe a recent approach of probabilistic self-organizing maps (PRSOM). The PRSOM become more and more interesting in many fields such as: pattern recognition, clustering, classification, speech recognition, data compression, medical diagnosis. The PRSOM give an estimation of the density probability function of the data, this density dependent on the parameters of the PRSOM, such as the architecture. Associated with a given problem, it is one of the most important research problems in the neural network research. Also, we implemented and evaluated the proposed method; the numerical results are powerful and show the practical interest of our approach.
The Broyden family update in quasi-Newton method is known as one of the most efficient update method in solving unconstrained optimization. However, by using the standard search direction, sometimes the algorithm may ...
The Broyden family update in quasi-Newton method is known as one of the most efficient update method in solving unconstrained optimization. However, by using the standard search direction, sometimes the algorithm may lead to the failure for some complicated problems and this scenario worsen when the cases of the initial points selected are far away from the minimizer. To overcome this scenario, we proposed a new search direction by using the Fletcher Reeves formula in the conjugate gradient method to be fit with the new search direction. We proved that this new search direction globally converge and positively affect the Broyden family update in quasi-Newton method.
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