Are orthographic rules used by children with and without writing disabilities? / ¿Utilizan las reglas ortográficas los niños con y sin dificultades de aprendizaje en la escritura de palabras?

The aim of this study was to explore whether children with and without learning difficulties use orthographic rules to write words. To study this, two types of tasks from the Early Grade Writing Assessment (EGWA) test were used: (1) a dictation task which included pseudowords with an implicit orthographic rule; and (2) a dictation task which included words with arbitrary, unregulated orthography. An initial sample of 1,447 students from grades 1 to 3 of elementary school was selected. The results showed that the variables task type and grade were significant when explaining the differences found between the groups. These findings are discussed from the perspective of the orthographic representations self-teaching hypothesis as related to the orthographic depth hypothesis, associated with the orthographic transparency of Spanish.     

The implications of low quality bicycle paths on gaze behavior of cyclists: A field test

Unlike for car driving and walking, the visual behavior during cycling is poorly documented. The aim of this experiment was to explore the visual behavior of adult bicycle users ‘in situ’ and to investigate to what extent the surface quality affects this behavior. Therefore cycling speed, gaze distribution and gaze location of five participants were analyzed on a high and a low quality bicycle track. Although there was no difference in cycling speed between the low and the high quality cycling path, there was an apparent shift of attention from distant environmental regions to more proximate road properties on the low quality track. These findings suggest that low quality bicycle tracks may affect the alertness and responsiveness of cyclists to environmental hazards.     

Intelligent digital image firewall system for filtering privacy or sensitive images

As the commonest part of social networks, sharing images in social network not only provides more information, but also gives more intuitive view than text. However, images also can leak out information more easily than text, so the audit of image content is particularly essential. The disclosure of a tiny image, which involves sensitive information about individual, society even the state, may trigger a series of serious problems. In this paper, we design a kind of intelligent image firewall to detect and filter sensitive or privacy images. Two different approaches of the firewall are proposed. In the first approach, we propose an image firewall based on joint sparse representation, which can provide accurate and robust privacy prediction, and also can provide rich spatial relationship information. In the second approach, we propose a method based on the deep learning (Faster RCNN), which can predict the privacy relationships or actions (like kiss, hug and hand in hand) among the persons of an image. Experimental results show the effectiveness of the two kinds of approaches.     

Feature selection using Ant Colony Optimization (ACO) and Road Sign Detection and Recognition (RSDR) system

Road Sign Detection and Recognition (RSDR) is aimed to enable drivers maintain basic functionality with the aim of identifying and notifying driver through the existing restrictions so that the process is a success on the present widened road. Examples for RSDR include ‘traffic light ahead’ or ‘pedestrian crossing’ signs. An innovative RSDR system has been introduced which comprises of pre-processing, edge detection, feature extraction, features selection and Ensemble Fuzzy Support Vector Machine (EFSVM) classifier. Feature selection is carried out successfully by deployment of Ant Colony Optimization (ACO) algorithm to determine most prominent and definitive features. These features are then fed into the ensemble SVM to enable both road side traffic detection as well as recognition. Suggested system’s performance is analyzed and evaluated with respect to road signs having a capable recognition rate.     

Bicycle fatalities: Trends in crashes with and without motor vehicles in The Netherlands

Boufous and Olivier (2015) recently found an increasing trend of police-reported cyclist deaths in single-vehicle crashes while a decreasing trend was found for fatal bicycle-motor vehicle crashes. This study sets out to conduct the same trend analyses for the Netherlands using causes of death statistics. The results show that for 1996–2014, the number of cyclist deaths in motor vehicle collisions per km cycled (i.e. the risk) has declined by 3.8% per annum (95% CI: −4.6%, −3.0%) while the risk of cyclist deaths in crashes without motor vehicles increased by 7.0% per annum (95% CI: 5.5%, 8.7%). The large majority of cyclist deaths at the beginning of the study period were due to bicycle-motor vehicle crashes. By 2014, however, the share with motor vehicles was only slightly higher than the share without motor vehicles. We also conducted trend analyses controlling for age by stratifying into nine age groups. After controlling for age, the average annual decrease of cyclist deaths in crashes with motor vehicles was 5.4% (95% CI: −6.0% to − 4.7%). The average annual increase of deaths in crashes without motor vehicles was 4.4% (95% CI: 3.1–5.7%). These trends are more favourable than those without controlling for age which can be explained by more cycling among the elderly who have an elevated risk. We conclude that, similar to Australia, cyclist deaths following motor vehicle crashes in the Netherlands have decreased while deaths without motor vehicles have increased.     

The implications of low quality bicycle paths on the gaze behaviour of young learner cyclists

In a recent study, Vansteenkiste et al. (2014) described how low quality bicycle paths cause an apparent shift of visual attention from distant environmental regions to more proximate road properties. Surprisingly, this shift of visual attention was not accompanied by an adaptation in cycling speed. The current experiment investigated to what extent these findings are applicable for young learner bicyclists (aged 6–12 years). Since young learner bicyclists do not yet have mature visual and motor skills, it was expected that the implications of a poor road surface would be larger for them than for experienced adult bicyclists. In general, children looked less to the road and more to task irrelevant regions, but the magnitude of the shift of visual attention when cycling on a low quality bicycle track was similar to that of adults. Although children cycled slower than adults, they did not cycle slower on the low quality track compared to the high quality track. Overall, our results suggest that children displayed a different visual-motor strategy than adults, characterized by lower cycling speeds and a different visual behaviour, and that they responded in a similar way to a low quality bicycle path as adults.     

Children’s understanding of depreciation in scenarios of envy and modesty

The aim of this study was to explore children’s understanding of depreciation when being presented with scenarios of envious or modest behavior. 123 Spanish children, six to eight years of age, decided how a character should respond when faced with a situation of envy or modesty. These situations were described in vignettes. The children chose between a response of either depreciation or admiration in the case of envy and between a response of either modesty or immodesty when faced with modest behavior. They were then asked to explain the reasons for their choices. Generally speaking, the results indicated that children rated self-depreciation in scenarios of modesty more highly than they did depreciation of another in situations of envy. An interaction effect showed that eight-year-old chose modest responses more than immodest ones, in contrast to the six-year-old. Conversely, age differences were not observed for the scenarios of envy. We discuss these results in light of the children’s explanations. Furthermore, the acquisition of emotional display rules is discussed, as well as the ability to manage emotions. Also, we discuss the truths and falsehoods of expression within the framework of social pragmatism in the selection of responses in both scenarios.     

Stopping rule use during information search in design problems

Information search is critical in most decision-making tasks. An important aspect of information search is the stopping rule used by the decision maker to terminate information acquisition. Decision-making problems may be usefully decomposed into design problems and choice problems. The distinction is critical because the goals of stopping behavior in the two types of problems are quite different. In design problems, the focus is on the sufficiency of information obtained for problem structuring and generating alternatives, while choice problems focus on convergence toward a solution. While previous research has studied stopping behavior in choice problems, the present research is concerned with stopping rule use during information search in design problems. To build theory in this area, we conducted two experiments. In the first, we presented professional systems analysts with an information search problem in a systems development context and asked them to gather information for a proposed system. Protocols of the search sessions were analyzed, and stopping rules used and information gathered by the analysts were identified. Results indicated that the use of certain stopping rules resulted in greater quantity and quality of information gathered. Additionally, stopping rule use, rather than analyst experience, accounted for the quantity and quality of information elicited. Finally, stopping rule use differed between more experienced and less experienced analysts. To apply our findings about stopping rules from the first experiment, we performed a second experiment in which we investigated stopping rule use in a consumer information search task on the world wide web. Results indicated the use of the same stopping rules as in the first experiment, although in different proportions. Implications for information search theory and practice are discussed.     

Contrasting rule-based and similarity-based category learning: The effects of mood and prior knowledge on ambiguous categorization

This study adopts a dual-system view of category learning. The findings suggest that consumers who learn a dominant feature as a verbal rule for a product category will classify a new ambiguous product according to that feature even if it more closely resembles a different product category. The findings also demonstrate that dominant features can bias categorization toward a less prototypical category in the event that the new product breaks the rule. We refer to this phenomenon as criterial inferencing. Lastly, we offer unique empirical evidence to suggest that mood influences category learning and thus attenuates the criterial inferencing bias.