Information Processing Demands Research Articles

Health Information Technology in the Knowledge Management of Health Care Organizations

Background: The complexity of clinical decisions in health care organizations (HCOs) increases the information-processing demands, and the benefits of a Health Information Technology (HIT)-based Knowledge Management (KM). Therefore, since 1995, the health sector of Iran has gradually introduced and utilized hospital information systems, the internet, and office automation in HCOs to increase the efficiency of health care services. Studies show that the status of information management and knowledge in HCOs of Iran is inappropriate. Objectives: The current study evaluated whether the current status of HIT and its application in the HCOs are in line with KM goals. Patients and Methods: The study was performed on 550 staff members of hospitals affiliated to Semnan university of medical sciences in 2014. A researcher made questionnaire was developed. All medical and non-medical staff members were included in this study. Results: According to the obtained results 15% of the subjects highly used clinical information systems for information exchange inside their institution, 35.5% somewhat used electronic reports, and in some subjects significant relationship was found between demographic background and attitude (P < 0.05). Conclusions: It was concluded that HCOs need an HIT clearly designed with KM and they have to recognize where knowledge is resided, when designing strategies to warrant that knowledge is being created and transferred in the best way and to the right persons. Otherwise, the HCOs do not use an efficiency-oriented HIT.

Application of Neural Network Modeling to Identify Auditory Processing Disorders in School-Age Children

P300 Auditory Event-Related Potentials (P3AERPs) were recorded in nine school-age children with auditory processing disorders and nine age- and gender-matched controls in response to tone burst stimuli presented at varying rates (1/second or 3/second) under varying levels of competing noise (0 dB, 40 dB, or 60 dB SPL). Neural network modeling results indicated that speed of information processing and task-related demands significantly influenced P3AERP latency in children with auditory processing disorders. Competing noise and rapid stimulus rates influenced P3AERP amplitude in both groups.

Cloud Computing

The population is living in a complex world at information explosion age. Today in Enterprises, the size and complexity of managing information have been increasing significantly and the demand for cost efficient information storage and processing grows higher. Enterprises need to optimize their IT management and minimize server maintenance costs become greater as usage demands prove to be increasingly unpredictable. Cloud computing offers a promising solution. Cloud computing is a computing model that relies on a large, centralized data center to store and process a great wealth of information. Computing power and storage space are provided on-demand to Enterprises that outsource their IT management to the cloud service provider. The immediate advantage to this computing model is a lower infrastructure maintenance cost. Since Enterprises that use cloud no longer require on-site servers, they eliminate the associated cost in IT management and electrical power.

A survey on context-aware recommender systems based on computational intelligence techniques

The demand for ubiquitous information processing over the Web has called for the development of context-aware recommender systems capable of dealing with the problems of information overload and information filtering. Contemporary recommender systems harness context-awareness with the personalization to offer the most accurate recommendations about different products, services, and resources. However, such systems come across the issues, such as sparsity, cold start, and scalability that lead to imprecise recommendations. Computational Intelligence (CI) techniques not only improve recommendation accuracy but also substantially mitigate the aforementioned issues. Large numbers of context-aware recommender systems are based on the CI techniques, such as: (a) fuzzy sets, (b) artificial neural networks, (c) evolutionary computing, (d) swarm intelligence, and (e) artificial immune systems. This survey aims to encompass the state-of-the-art context-aware recommender systems based on the CI techniques. Taxonomy of the CI techniques is presented and challenges particular to the context-aware recommender systems are also discussed. Moreover, the ability of each of the CI techniques to deal with the aforesaid challenges is also highlighted. Furthermore, the strengths and weaknesses of each of the CI techniques used in context-aware recommender systems are discussed and a comparison of the techniques is also presented.

Research on the Construction of Digital Library Virtual Environment Based on the Cloud Computing Technology

With the growth in demand for information processing, considering that cloud computing technology and virtual digital libraries have common goal. In this paper, take the cloud computing as the basis of virtual digital libraries, firstly, research the digital library virtualization under the circumstance of cloud computing; secondly, study digital books Museum of virtualized resources in a cloud computing environment integration and sharing mechanism; finally, creating digital library environment with cloud computing virtualization technology driven.

Visual choice behavior by bumblebees (Bombus impatiens) confirms unsupervised neural network's predictions.

The behavioral experiment herein tests the computational load hypothesis generated by an unsupervised neural network to examine bumblebee (Bombus impatiens) behavior at 2 visual properties: spatial frequency and symmetry. Untrained "flower-naïve" bumblebees were hypothesized to prefer symmetry only when the spatial frequency of artificial flowers is high and therefore places great information-processing demands on the bumblebees' visual system. Bumblebee choice behavior was recorded using high-definition motion-sensitive camcorders. The results support the computational model's prediction: 1-axis symmetry influenced bumblebees' preference behavior at low and high spatial frequency patterns. Additionally, increasing the level of symmetry from 1 axis to 4 axes amplified preference toward the symmetric patterns of both low and high spatial frequency patterns. The results are discussed in the context of the artificial neural network model and other hypotheses generated from the behavioral literature.

Voltage imaging of waking mouse cortex reveals emergence of critical neuronal dynamics.

Complex cognitive processes require neuronal activity to be coordinated across multiple scales, ranging from local microcircuits to cortex-wide networks. However, multiscale cortical dynamics are not well understood because few experimental approaches have provided sufficient support for hypotheses involving multiscale interactions. To address these limitations, we used, in experiments involving mice, genetically encoded voltage indicator imaging, which measures cortex-wide electrical activity at high spatiotemporal resolution. Here we show that, as mice recovered from anesthesia, scale-invariant spatiotemporal patterns of neuronal activity gradually emerge. We show for the first time that this scale-invariant activity spans four orders of magnitude in awake mice. In contrast, we found that the cortical dynamics of anesthetized mice were not scale invariant. Our results bridge empirical evidence from disparate scales and support theoretical predictions that the awake cortex operates in a dynamical regime known as criticality. The criticality hypothesis predicts that small-scale cortical dynamics are governed by the same principles as those governing larger-scale dynamics. Importantly, these scale-invariant principles also optimize certain aspects of information processing. Our results suggest that during the emergence from anesthesia, criticality arises as information processing demands increase. We expect that, as measurement tools advance toward larger scales and greater resolution, the multiscale framework offered by criticality will continue to provide quantitative predictions and insight on how neurons, microcircuits, and large-scale networks are dynamically coordinated in the brain.

Importance of Task Complexity

Although the concept of task and its role has been a matter of much controversy in the field of second language acquisition (SLA), there is a general agreement that in language learning, task complexity is required for the effectiveness of the final performance of tasks, (Robinson, 2011). This paper is an overview of the task based language teaching, task complexity, its definition and its importance in language education to gain more insights into this area and its effect on second language (L2) development. Robinson (2001, p. 29) defines task complexity as “the result of attentional, memory, reasoning, and other information processing demands imposed by the structure of the task on the language learner.” Our goal is to gain further insights into this area of second language acquisition (SLA) research by understanding how task complexity works and the effects it has on L2 acquisition.

The science of mind wandering: empirically navigating the stream of consciousness.

Conscious experience is fluid; it rarely remains on one topic for an extended period without deviation. Its dynamic nature is illustrated by the experience of mind wandering, in which attention switches from a current task to unrelated thoughts and feelings. Studies exploring the phenomenology of mind wandering highlight the importance of its content and relation to meta-cognition in determining its functional outcomes. Examination of the information-processing demands of the mind-wandering state suggests that it involves perceptual decoupling to escape the constraints of the moment, its content arises from episodic and affective processes, and its regulation relies on executive control. Mind wandering also involves a complex balance of costs and benefits: Its association with various kinds of error underlines its cost, whereas its relationship to creativity and future planning suggest its potential value. Although essential to the stream of consciousness, various strategies may minimize the downsides of mind wandering while maintaining its productive aspects.

Combined Task and Physical Demands Analyses towards a Comprehensive Human Work Model

Task analyses and physical demands analyses are combined to identify common and extreme postures and postural sequences, durations, frequency, and forces for Griffon Helicopter aircrew tasks, mission phases, and whole missions. The result is a comprehensive model of tasks and associated physical demands from which one can estimate the accumulative neck loads and moments caused by Night Vision Googles usage. Combining task and physical demands analyses yields a methodology for building a model of human work where information processing and physical demands are equally important for finding effective solutions to work issues.

The strategic role of the sales force: perceptions of senior sales executives

Current models of sales force strategy imply formidable information processing demands, which leads us to take a cognitive approach to studying the issue of sales force strategy. We focus on how top-level executives use mental models of sales force performance to simplify the issue of sales force strategy. We interviewed 74 senior executives responsible for their firms’ selling function using the repertory grid approach, as this methodology has been shown to be particularly effective at uncovering the collective cognitive maps on which executives’ decisions and behaviors are based. Executives identified a broad set of 37 strategic concepts that they felt distinguish the sales force efforts of directly competing companies. A second set of sales executives classified the 37 concepts into capabilities, resources, and organizational context concepts. Based on the classification results and feedback from both sets of executives, we developed research propositions for examining sales force strategy and provide directions for future research.

Keeping the reader's mind in mind: Development of perspective-taking in children's dictations

This study investigated when children can take the perspective of their reader if the information-processing demands of writing are removed by means of dictation to a scribe. Participants (N=96) aged 5, 6 and 7years dictated letters to an addressee who possessed requisite content knowledge, and then revised the letter or dictated a new letter to an addressee who lacked this knowledge (counterbalanced). Results showed that 19% of 5-year-olds, 41% of 6-year-olds, and 72% of 7-year-olds considered their reader's missing knowledge. Children's awareness of their reader's knowledge was neither related to performance on higher-order theory of mind tasks, nor to measures of executive function. Significantly greater perspective-taking was demonstrated in children's new letters than revised letters. However, although revision is considered a late-developing skill, half of even the 5-year-olds were able to make revisions (albeit few revisions demonstrated actual perspective-taking). Findings have significant implications for the emergent-literacy curriculum.

Director Human Capital, Information Processing Demands, and Board Effectiveness

Research on human capital as a source of competitive advantage has focused largely on firm employees. In this article, we argue that outside directors’ general human capital can also be a source of competitive advantage. Firm performance is likely to benefit from directors’ human capital—that is, their prior experience and education—because such human capital is likely to make them more effective at monitoring management and providing advice. Drawing on insights from research on individuals’ cognitive limitations, we further argue that the extent to which the firm is able to benefit from this human capital can be severely limited by the demands for information processing that directors face from their other board positions. Consequently, we find that the benefit of directors’ human capital is contingent upon the information processing load placed upon them from their other board appointments. We find support for our hypotheses using data on over 5,700 directors from 650 firms sampled from the Fortune 1000. This study extends the nascent literature on board human capital by showing that in addition to specific expertise in relevant areas, directors’ general human capital can also help firms create competitive advantage. The theory developed in this article also contributes to the literature on strategic human capital by incorporating the concept of information processing demands, suggesting that not only do such demands leave limited cognitive capacity for directors to focus on the focal firm but also that they can severely diminish the beneficial effects of directors’ general human capital.

Response interference under near-concurrent presentation of safety and non-safety information

The growing advent of Connected Vehicle Systems (CVS) is changing the information environment within the vehicle cab. As vehicles add the capability to receive data from the road infrastructure or share data with other vehicles, there is an expanding amount of safety and non-safety information from these systems with which the driver must contend. The information processing demands for the driver may become more complex, especially under conditions that present multiple information signals to the driver at the same time. To manage this complexity, the design of CVS will need to incorporate information management functions to prioritize information so as to be compatible with the processing capacity of the driver. The objective of this research was to examine the potential interference effect of non-safety critical information on driver responses to near concurrent, critical safety warnings. The study design was based on theory and evidence that there is a “bottle neck” in a human’s central processing of information, such that the processing of early signals (S1) in the environment may delay the response to a later signal (S2) until such time as the response to the first stimulus has been initiated. The results of the study suggest that there is the possibility that near concurrent presentation of safety and non-safety critical information may generate interference effects, but the combination of signal parameters (modality, timing) that are most likely to create this interference may be infrequent in most real world conditions. Future research should focus on the specific parameters that increase the probability of such interference. Such research would then provide a better estimate of the potential frequency of this interference and also guide the formulation of design guidelines to minimize this potential.

Exploring Perceptual Skills in Children with Autism Spectrum Disorders: From Target Detection to Dynamic Perceptual Discrimination

Perceptual processing in autism is associated with both 'strengths' and 'weaknesses' but within a literature that varies widely in terms of the assessments used. We report data from 12 children with autism spectrum disorders (ASD) and 12 age and IQ matched neurotypical controls tested on a set of tasks using the same stimuli throughout but systematically changing in difficulty. These tasks ranged through simple detection of stimulus onset to pairwise size discrimination across two approaching targets. Children with ASD were slower than controls even in simple detection tasks, but this did not explain further group differences found in the size discrimination of approaching targets. The results are discussed in terms of impairments in speed of responding in ASD under certain conditions of visuomotor coupling, stimulus presentation and increased information processing demands.

The impact of instructional context on classroom on-task behavior: A matched comparison of children with ADHD and non-ADHD classmates

Classroom inattentiveness is an important reason for clinical referral of children with ADHD and a strong predictor of their educational achievement. This study investigates classroom on-task behavior of Flemish children with ADHD withdrawn from medication as a function of instructional context. Thirty-one pairs of children (one with ADHD and one age- and sex-matched control; 25 boys and 6 girls 6 to 12years of age) were observed in their classroom environment during two consecutive school days. On-task behavior (time on-task and on-task span) of ADHD and non-ADHD individuals was compared in different class contexts (i.e., different class structures and academic content types). Individualized teacher supervision was simultaneously assessed. Generalized estimation equation analyses showed that children with ADHD were significantly less on-task than controls during individual work and whole class group teaching, but not during small group work, and had significantly shorter on-task span during academic tasks (mathematics, language, and sciences) and instructional transitions between tasks, but not during music and arts. These effects persisted even after controlling for the higher levels of teacher supervision observed for ADHD pupils (7%) across all contexts (vs. 4% in controls). Findings suggest that despite receiving more overall teacher supervision, children with ADHD displayed lower levels of on-task behavior in settings that place high self-regulatory, information processing, and motivational demands on them. This finding may have initial implications for classroom interventions in this population.

A Strong Interactive Link between Sensory Discriminations and Intelligence

Early psychologists, including Galton, Cattell, and Spearman, proposed that intelligence and simple sensory discriminations are constrained by common neural processes, predicting a close link between them. However, strong supporting evidence for this hypothesis remains elusive. Although people with higher intelligence quotients (IQs) are quicker at processing sensory stimuli, these broadly replicated findings explain a relatively modest proportion of variance in IQ. Processing speed alone is, arguably, a poor match for the information processing demands on the neural system. Our brains operate on overwhelming amounts of information, and thus their efficiency is fundamentally constrained by an ability to suppress irrelevant information. Here, we show that individual variability in a simple visual discrimination task that reflects both processing speed and perceptual suppression strongly correlates with IQ. High-IQ individuals, although quick at perceiving small moving objects, exhibit disproportionately large impairments in perceiving motion as stimulus size increases. These findings link intelligence with low-level sensory suppression of large moving patterns--background-like stimuli that are ecologically less relevant. We conjecture that the ability to suppress irrelevant and rapidly process relevant information fundamentally constrains both sensory discriminations and intelligence, providing an information-processing basis for the observed link.

Aging and driving in a complex world: Exploring age differences in attentional demand while driving

We investigated the relationship between attention and road complexity in a convenience sample of older drivers. The study sought to examine the impact of age-associated changes in attention in response to situations with an elevated risk of crash. Scenarios were manipulated in terms of handling and information processing complexity. Twenty-six older drivers and 30 mid-aged drivers completed a series of 20 simulated driving scenarios incorporating either rear-end or crossing path situations. For each scenario, the complexity of the driving environment was systematically manipulated in terms of vehicle handling and information processing elements. The attentional demands of half of the scenarios were assessed by means of a peripheral detection task (PDT) as well as through a subjective measure of overall difficulty. The results indicated that when information processing demands were increased, through the addition of traffic, and buildings, all participants exhibited greater workload regardless of age. While no main effects of age were observed, older drivers did exhibit significantly longer PDT responses in the low vehicle handling condition of the crossing path scenario. The results confirm the impact of environmental complexity on attention but suggest that the PDT may not be the most appropriate means of assessing attentional demands among older drivers, particularly when the driving complexity is elevated.

Two-phase strategy of neural control for planar reaching movements: I. XY coordination variability and its relation to end-point variability

A quantitative model of optimal transport-aperture coordination (TAC) during reach-to-grasp movements has been developed in our previous studies. The utilization of that model for data analysis allowed, for the first time, to examine the phase dependence of the precision demand specified by the CNS for neurocomputational information processing during an ongoing movement. It was shown that the CNS utilizes a two-phase strategy for movement control. That strategy consists of reducing the precision demand for neural computations during the initial phase, which decreases the cost of information processing at the expense of lower extent of control optimality. To successfully grasp the target object, the CNS increases precision demand during the final phase, resulting in higher extent of control optimality. In the present study, we generalized the model of optimal TAC to a model of optimal coordination between X and Y components of point-to-point planar movements (XYC). We investigated whether the CNS uses the two-phase control strategy for controlling those movements, and how the strategy parameters depend on the prescribed movement speed, movement amplitude and the size of the target area. The results indeed revealed a substantial similarity between the CNS's regulation of TAC and XYC. First, the variability of XYC within individual trials was minimal, meaning that execution noise during the movement was insignificant. Second, the inter-trial variability of XYC was considerable during the majority of the movement time, meaning that the precision demand for information processing was lowered, which is characteristic for the initial phase. That variability significantly decreased, indicating higher extent of control optimality, during the shorter final movement phase. The final phase was the longest (shortest) under the most (least) challenging combination of speed and accuracy requirements, fully consistent with the concept of the two-phase control strategy. This paper further discussed the relationship between motor variability and XYC variability.

Electrophysiological entropy in younger adults, older controls and older cognitively declined adults

The current study examined electrophysiological entropy in younger adults, older adults, and older cognitively declined adults across four experimental conditions — eyes closed, eyes open, and during both encoding and recognition of words in a memory task. We hypothesised reduced entropy in older declined adults relative to both older controls and younger adults, with the largest group differences in entropy expected during the encoding and recognition phases of the experiment. We also hypothesised greater hemispheric asymmetry in younger adults compared with older controls and older declined adults. Results revealed significant increases in entropy from eyes closed to eyes open to task. Young adults showed higher entropy in the right relative to the left hemisphere in the temporal lobe and higher entropy in the left relative to the right hemisphere in the parietal lobe. Old cognitively declined adults showed no significant differences between right and left hemisphere entropy. There was a trend whereby older declined adults showed lower entropy than older controls in the frontal lobe, this difference being largest in the left hemisphere during the encoding phase of the experiment. Results indicate that measures of entropy are sensitive to information processing demands and that higher cognitive performance may not be a simple function of entropy level, but rather a combination of level and range, or differentiated range of entropy states across the brain.