Different Levels Of Information Processing Research Articles

Perception of pointing gestures in 3D space.

Pointing gestures are often used to refer to distant referents by indicating in which vertical and horizontal direction the referent is located relative to the pointer. In the present manuscript, we address whether and how both dimensions interact when people spatially interpret pointing gestures, or whether both dimensions are processed independently as reflected in many current models. We found that both dimensions interact on different levels. First, cross-dimensional effects were found on a between-gestures level. That is, the perception of the vertical position implied by a pointing gesture depended on horizontal arm and finger orientation. Conversely, the horizontal interpretation depended on vertical arm and finger orientation. Second, we found cross-dimensional interactions on the level of intra-individual biases. That is, participants' horizontal perceptual biases in interpretations (e.g., perceiving a gesture as directed more rightward than others) were related to their vertical perceptual biases. Third, we found cross-dimensional interactions on the level of intra-individual variability. That is, the vertical and horizontal interpretations of the same pointing gestures were correlated within participants and gestures. Together, these findings indicate that human spatial pointing perception is based on configural processing of a gesture on different levels of information processing.

The Effect of Risk Representation Using Colors and Symbols in Business Process Models on Operational Risk Management Performance

The operational management of risk and internal controls (RIC) makes increasing use of visual representations to support tasks such as risk assessment and control activity definition. The strengths and weaknesses of different representations are typically assessed by cognitive theories that assume an analytical and an intuitive mode of information processing. Previous research has focused mainly on the analytical risk assessment while intuitive information processing has largely been neglected. We develop a theoretical argument based on dual-process theory, which explains why RIC representational alternatives influence different levels of information processing. We test our hypotheses with the help of an online experiment using accountants and operation managers recruited via MTurk (N = 166). Our results suggest that highlighting risk and controls in business process modeling and notation (BPMN) by using color improves risk understanding, control understanding, and the identification of control improvements, which help reduce the risk in a given process. Furthermore, we do not find evidence that the inclusion of color leads to perception biases. This has implications for information systems research, which has primarily addressed the analytical processing of conceptual models. Our findings extend cognitive research on such models by adding an intuitive processing path that can improve the user’s risk management performance. For practitioners, our findings are particularly relevant because colors can be easily added as a secondary notation element without disguising the factual risk situation in processes.

Selective Translation of Low Abundance and Upregulated Transcripts in Halobacterium salinarum.

When organisms encounter an unfavorable environment, they transition to a physiologically distinct, quiescent state wherein abundant transcripts from the previous active growth state continue to persist, albeit their active transcription is downregulated. In order to generate proteins for the new quiescent physiological state, we hypothesized that the translation machinery must selectively translate upregulated transcripts in an intracellular milieu crowded with considerably higher abundance transcripts from the previous active growth state. Here, we have analyzed genome-wide changes in the transcriptome (RNA sequencing [RNA-seq]), changes in translational regulation and efficiency by ribosome profiling across all transcripts (ribosome profiling [Ribo-seq]), and protein level changes in assembled ribosomal proteins (sequential window acquisition of all theoretical mass spectra [SWATH-MS]) to investigate the interplay of transcriptional and translational regulation in Halobacterium salinarum as it transitions from active growth to quiescence. We have discovered that interplay of regulatory processes at different levels of information processing generates condition-specific ribosomal complexes to translate preferentially pools of low abundance and upregulated transcripts. Through analysis of the gene regulatory network architecture of H. salinarum, Escherichia coli, and Saccharomyces cerevisiae, we demonstrate that this conditional, modular organization of regulatory programs governing translational systems is a generalized feature across all domains of life.IMPORTANCE Our findings demonstrate conclusively that low abundance and upregulated transcripts are preferentially translated, potentially by environment-specific translation systems with distinct ribosomal protein composition. We show that a complex interplay of transcriptional and posttranscriptional regulation underlies the conditional and modular regulatory programs that generate ribosomes of distinct protein composition. The modular regulation of ribosomal proteins with other transcription, translation, and metabolic genes is generalizable to bacterial and eukaryotic microbes. These findings are relevant to how microorganisms adapt to unfavorable environments when they transition from active growth to quiescence by generating proteins from upregulated transcripts that are in considerably lower abundance relative to transcripts associated with the previous physiological state. Selective translation of transcripts by distinct ribosomes could form the basis for adaptive evolution to new environments through a modular regulation of the translational systems.

Driving demands, stress reactivity and driving behavior: An interactional approach

The aim of the present study was to investigate the role of driving demands, neuroticism, and their interaction when predicting driving behavior. More precisely, we strived to examine how driving behaviors (i.e., speeding, winding, tailgating and jerky driving) unfold across low and high driving demands and whether they are contingent on a personality factor that has previously been linked to stress reactivity. In a driving simulator, 50 participants with a valid driver’s license (56.6% female, age: M = 30.13, SD = 10.16) were exposed to driving scenarios of different levels of information processing and vehicle handling demands. Additionally, they filled-out a self-report questionnaire that measured their neuroticism. We found that driving behavior became safer in scenarios that were highly demanding in terms of information processing, while this pattern did not emerge with vehicle handling demands. Moreover, tentative support was found for the notion that individuals high in neuroticism are less able to adapt their behavior to higher information processing demands. The present study offers new insights on driving demands in a simulated driving context and points to the potential importance of exploring interactions between personality and situational factors when understanding driving behavior. Additionally, the results of the present study may be used to adapt driver’s education programs.

Insights From fMRI Studies Into Ingroup Bias.

Intergroup biases can manifest themselves between a wide variety of different groups such as people from different races, nations, ethnicities, political or religious beliefs, opposing sport teams or even arbitrary groups. In this review we provide a neuroscientific overview of functional Magnetic Resonance Imaging (fMRI) studies that have revealed how group dynamics impact on various cognitive and emotional systems at different levels of information processing. We first describe how people can perceive the faces, words and actions of ingroup and outgroup members in a biased way. Second, we focus on how activity in brain areas involved in empathizing with the pain of others, such as the dorsal anterior cingulate cortex (dACC) and anterior insula (AI), are influenced by group membership. Third, we describe how group membership influences activity in brain areas involved in mentalizing such as the medial prefrontal cortex (mPFC) and temporoparietal junction (TPJ). Fourth, we discuss the involvement of the lateral orbitofrontal cortex (lOFC) in increased moral sensitivity for outgroup threats. Finally, we discuss how brain areas involved in the reward system such as the striatum and medial orbitofrontal cortex (mOFC), are more active when experiencing schadenfreude for outgroup harm and when rewarding ingroup (versus outgroup) members. The value of these neuroscientific insights to better understand ingroup bias are discussed, as well as limitations and future research directions.

Different levels of visual perceptual skills are associated with specific modifications in functional connectivity and global efficiency

The disembedding ability (i.e., the ability to identify a simple masked figure within a complex one) depends on attentional mechanisms, executive functions and working memory. Recent cognitive models ascribed different levels of disembedding task performance to the efficiency of the subtended mental processes engaged during visuo-spatial perception.Here we aimed at assessing whether different levels of the disembedding ability were associated to the functional signatures of neural efficiency, defined as a specific modulation in response magnitude and functional connectivity strength in task-related areas. Consequently, brain activity evoked by a visual task involving the disembedding ability was acquired using functional magnetic resonance imaging (fMRI) in a sample of 23 right-handed healthy individuals. Brain activity was analyzed at different levels of information processing, from local responses to connectivity interactions between brain nodes, as far as to network topological properties.All different levels of information processing were significantly modulated by individual behavioral performance. Specifically, single voxel response magnitude, connectivity strength of the right intrahemispheric and interhemispheric edges, and graph measures (i.e., local and global efficiency) were negatively associated to behavioral performance. Altogether, these results indicate that efficiency during a disembedding task cannot be merely attributed to a reduced neural recruitment of task-specific regions, but can be better characterized as an enhanced functional hemispherical asymmetry.

Spontaneous eyeblinks during breaking continuous flash suppression are associated with increased detection times.

An eyeblink has a clear effect on low-level information processing because it temporarily occludes all visual information. Recent evidence suggests that eyeblinks can also modulate higher level processes (e.g., attentional resources), and vice versa. Despite these putative effects on different levels of information processing, eyeblinks are typically neglected in vision and in consciousness research. The main aim of this study was to investigate the timing and the effect of eyeblinks in an increasingly popular paradigm in consciousness research, namely breaking continuous flash suppression (b-CFS). Results show that participants generally refrain from blinking during a trial, that is, when they need to detect a suppressed stimulus. However, when they do blink during a trial, we observed a sharp increase in suppression time. This suggests that one needs to control for blinking when comparing detection times between conditions that could elicit phasic changes in blinking.

The Multilevel Modality-Switch Effect: What Happens When We See the Bees Buzzing and Hear the Diamonds Glistening.

Previous studies demonstrated that the sequential verification of different sensory modality properties for concepts (e.g., BLENDER-loud; BANANA-yellow) brings about a processing cost, known as the modality-switch effect. We report an experiment designed to assess the influence of the mode of presentation (i.e., visual, aural) of stimuli on the modality-switch effect in a property verification and lexical decision priming paradigm. Participants were required to perform a property verification or a lexical decision task on a target sentence (e.g., "a BEE buzzes", "a DIAMOND glistens") presented either visually or aurally after having been presented with a prime sentence (e.g., "the LIGHT is flickering", "the SOUND is echoing") that could either share both, one or none of the target's mode of presentation and content modality. Results show that the mode of presentation of stimuli affects the conceptual modality-switch effect. Furthermore, the depth of processing required by the task modulates the complex interplay of perceptual and semantic information. We conclude that the MSE is a task-related, multilevel effect which can occur on two different levels of information processing (i.e., perceptual and semantic).

On the Hierarchical Structure of the Original Posner Task

In 1967, a task for analysis of the depth of processing in simple classification was published (Posner & Mitchell, 1967, p. 392). This task has become known as the Posner task for long-term memory retrieval of information. In the original experiment, pairs of items (letters, nonsense forms, digits) were presented to the participants who were supposed to respond as fast as possible by indicating either or different. In completing the trials of this task the participants had to perform according to different rules that constituted three experimental conditions. (1) Under the instruction they had to check whether the two items presented on a screen showed physical identity (e.g., A A). (2) The instruction required the participants to compare the two items with respect to their semantic meaning. More precisely, either the same name (e.g., a A) or different names (e.g., a B) applied to both items. (3) Finally, there was the rule instruction that utilized the possibility to classify letters as vowels or consonants, i.e., the participants had to decide whether both items belonged to the same group. The depth-of-processing idea guiding Posner and Mitchell's work suggested that there are different levels of information processing. While the first level demanded mere processing of feature information in the sense of the instruction, the second level necessitated access to stored information, as is demanded by the instruction. Finally, the rule instruction additionally required the recovery of rules and their application.To a considerable extent, Posner and Mitchell's (1967) depth-of-processing idea is in line with another, even more influential notion in cognitive research, namely Craik and Lockhard's levels-of-processing model that was first published in 1972. According to this model, the accessibility of information stored in memory is considered a function of the depth of mental processing when storing information in memory. 'Deep' mental processing produces memory traces that are more elaborated, longer lasting, and stronger than those formed by 'shallow' mental processing. Furthermore, deep and shallow mental processing are proposed to represent two anchor points of a continuum. Hence, deep processing involves the identification and elaboration of semantic contents, linking contents and learnt items, and creating links for embedding new information in an already available web of information. In contrast, shallow processing is restricted to establishing links between one or a few obvious and easily accessible features of a learnt item and corresponding conceptual information in the web. As a consequence, information stored by deep mental processing can be accessed and retrieved in many ways, whereas only one or very few routes to access information exist for information stored by shallow processing. Finally, there are consequences with regard to the long-term availability of learnt items stored in long-term memory: the more links lead to a learnt item, the smaller the probability of losing access to this item in the long run.In the years following the publication of the Posner task (Posner, Boies, Eichelmann, & Taylor, 1969; Posner & Mitchell, 1967), the research interest concentrated on the physical and name identity conditions whereas the rule-identity condition was neglected. It was Hunt (1978) who especially highlighted the importance of the qualitative difference between the mental processes underlying performance elicited by the physical- and name-identity instructions. According to Hunt, the physical-identity instruction stimulates processes that are mechanistic and occur unconsciously. These processes are to be seen as a kind of background activity that occurs in combination with other kinds of cognitive processes. In contrast, the name-identity instruction is assumed to be associated with memory processes that conduct a search in the web of information also referred to as knowledge base or long-term memory. …

Visual anticipation biases conscious decision making but not bottom-up visual processing.

Prediction plays a key role in control of attention but it is not clear which aspects of prediction are most prominent in conscious experience. An evolving view on the brain is that it can be seen as a prediction machine that optimizes its ability to predict states of the world and the self through the top-down propagation of predictions and the bottom-up presentation of prediction errors. There are competing views though on whether prediction or prediction errors dominate the formation of conscious experience. Yet, the dynamic effects of prediction on perception, decision making and consciousness have been difficult to assess and to model. We propose a novel mathematical framework and a psychophysical paradigm that allows us to assess both the hierarchical structuring of perceptual consciousness, its content and the impact of predictions and/or errors on conscious experience, attention and decision-making. Using a displacement detection task combined with reverse correlation, we reveal signatures of the usage of prediction at three different levels of perceptual processing: bottom-up fast saccades, top-down driven slow saccades and consciousnes decisions. Our results suggest that the brain employs multiple parallel mechanism at different levels of perceptual processing in order to shape effective sensory consciousness within a predicted perceptual scene. We further observe that bottom-up sensory and top-down predictive processes can be dissociated through cognitive load. We propose a probabilistic data association model from dynamical systems theory to model the predictive multi-scale bias in perceptual processing that we observe and its role in the formation of conscious experience. We propose that these results support the hypothesis that consciousness provides a time-delayed description of a task that is used to prospectively optimize real time control structures, rather than being engaged in the real-time control of behavior itself.

Cognitive Style as Environmentally Sensitive Individual Differences in Cognition

The key aims of this article are to relate the construct of cognitive style to current theories in cognitive psychology and neuroscience and to outline a framework that integrates the findings on individual differences in cognition across different disciplines. First, we characterize cognitive style as patterns of adaptation to the external world that develop on the basis of innate predispositions, the interactions among which are shaped by changing environmental demands. Second, we show that research on cognitive style in psychology and cross-cultural neuroscience, on learning styles in education, and on decision-making styles in business and management all address the same phenomena. Third, we review cognitive-psychology and neuroscience research that supports the validity of the concept of cognitive style. Fourth, we show that various styles from disparate disciplines can be organized into a single taxonomy. This taxonomy allows us to integrate all the well-documented cognitive, learning, and decision-making styles; all of these style types correspond to adaptive systems that draw on different levels of information processing. Finally, we discuss how the proposed approach might promote greater coherence in research and application in education, in business and management, and in other disciplines.

Coordinative Discourses in Brussels: An Agency-oriented Model of EU Foreign Policy Analysis

Foreign policy analysis (FPA) in a classical sense entails focusing on agents (individuals or groups of individuals). In the case of the European Union (EU), FPA becomes more problematic. Firstly, the question arises of what a foreign policy of the EU really means. This article defines EU foreign policy in a wider sense, namely along the lines of what is known as EU's external action. It focuses however on the security aspect of the EU's external action – the Common Foreign and Security Policy (CFSP) and its defence dimension, the Common Security and Defence Policy (CSDP). Furthermore, a problem of identifying agents arises in the EU setting in large part because of the complex institutional setup of the CFSP/CSDP. Although final decisions are made at the level of the Council, the policy itself is drafted and prepared at lower levels of policy-making (working parties, committees and agencies) based in Brussels. This article proposes a discursive institutionalist model of analysis, applicable to any organization of the policy process. After presenting the model's ontological and epistemological positions, as well as theoretical underpinnings, the article elaborates on the different levels of information processing and meaning construction by actors and their role in setting the overall foreign policy discourse by shaping the coordinative discourses1 during this early phase of the policy-making process.

Network-Based Segmentation of Biological Multivariate Time Series

Molecular phenotyping technologies (e.g., transcriptomics, proteomics, and metabolomics) offer the possibility to simultaneously obtain multivariate time series (MTS) data from different levels of information processing and metabolic conversions in biological systems. As a result, MTS data capture the dynamics of biochemical processes and components whose couplings may involve different scales and exhibit temporal changes. Therefore, it is important to develop methods for determining the time segments in MTS data, which may correspond to critical biochemical events reflected in the coupling of the system’s components. Here we provide a novel network-based formalization of the MTS segmentation problem based on temporal dependencies and the covariance structure of the data. We demonstrate that the problem of partitioning MTS data into segments to maximize a distance function, operating on polynomially computable network properties, often used in analysis of biological network, can be efficiently solved. To enable biological interpretation, we also propose a breakpoint-penalty (BP-penalty) formulation for determining MTS segmentation which combines a distance function with the number/length of segments. Our empirical analyses of synthetic benchmark data as well as time-resolved transcriptomics data from the metabolic and cell cycles of Saccharomyces cerevisiae demonstrate that the proposed method accurately infers the phases in the temporal compartmentalization of biological processes. In addition, through comparison on the same data sets, we show that the results from the proposed formalization of the MTS segmentation problem match biological knowledge and provide more rigorous statistical support in comparison to the contending state-of-the-art methods.

Differential impact of continuous theta‐burst stimulation over left and right DLPFC on planning

Most neuroimaging studies on planning report bilateral activations of the dorsolateral prefrontal cortex (dlPFC). Recently, these concurrent activations of left and right dlPFC have been shown to double dissociate with different cognitive demands imposed by the planning task: Higher demands on the extraction of task-relevant information led to stronger activation in left dlPFC, whereas higher demands on the integration of interdependent information into a coherent action sequence entailed stronger activation of right dlPFC. Here, we used continuous theta-burst stimulation (cTBS) to investigate the supposed causal structure-function mapping underlying this double dissociation. Two groups of healthy subjects (left-lateralized stimulation, n = 26; right-lateralized stimulation, n = 26) were tested within-subject on a variant of the Tower of London task following either real cTBS over dlPFC or sham stimulation over posterior parietal cortex. Results revealed that, irrespective of specific task demands, cTBS over left and right dlPFC was associated with a global decrease and increase, respectively, in initial planning times compared to sham stimulation. Moreover, no interaction between task demands and stimulation type (real vs. sham) and/or stimulation side (left vs. right hemisphere) were found. Together, against expectations from previous neuroimaging data, lateralized cTBS did not lead to planning-parameter specific changes in performance, but instead revealed a global asymmetric pattern of faster versus slower task processing after left versus right cTBS. This global asymmetry in the absence of any task-parameter specific impact of cTBS suggests that different levels of information processing may span colocalized, but independent axes of functional lateralization in the dlPFC.

Sensory Dominance Depends on Locus of Attentional Selection: Cross-Modal Distraction at Different Levels of Information Processing

Sensory Dominance Depends on Locus of Attentional Selection: Cross-Modal Distraction at Different Levels of Information Processing

Attention to aversive emotion and specific activation of the right insula and right somatosensory cortex

The evaluation of emotional stimuli is based on different levels of information processing, ranging from rather automatic processes to focused attention to the emotional relevance of stimuli. The role of specific brain areas for these processes is a matter of debate. In this event-related fMRI study, we varied the information processing mode of participants exposed to aversive and neutral pictures. Based on four different tasks, participants' attentional focus onto the emotional quality of the stimuli and the own emotional involvement was increased systematically across tasks. Regardless of task, stronger activation to threatening vs. neutral pictures was found in several regions such as the amygdala, anterior insula, anterior cingulate cortex, primary somatosensory cortex and medial prefrontal cortex. However, there was a parametric increase of activation with increasing attention to one's own emotion specifically in the right posterior insula and right primary and secondary somatosensory cortex, i.e. in areas implicated in self-awareness of a person's own body. These findings are in accordance with theories suggesting a crucial role of the perception of bodily states for emotional experiences.

Attention Modulates Initial Stages of Visual Word Processing

Selective attention has the potential to enhance the initial processing of objects, their spatial locations, or their constituent features. The present study shows that this capacity to modulate initial stages of processing also applies to linguistic attributes. A cueing paradigm focused attention at different levels of word representations on a trial-by-trial basis to study the time course of attentional modulation on visual word processing by means of a high-density electrophysiology recording system. Attention to different linguistic attributes modulated components related to semantic, phonological, and orthographic stages of word processing. Crucially, the N200, associated with initial stages of orthographic decoding, was enhanced by attention to the letter pattern of words. These results suggest that top-down attention has the capacity to enhance initial perceptual stages of visual word processing and support the flexibility of attention in modulating different levels of information processing depending on task goals.

Evolving Intelligence in Humans and Machines: Integrative Evolving Connectionist Systems Approach

One of the main properties of human intelligence is that it is evolving (developing, revealing, unfolding) based on: (1) Genetically "wired" rules; (2) Experience and learning during life time. The paper argues that we need to understand how the brain operates at its different levels of information processing and then use some of these principles "when building intelligent machines. Without "drowning" into the sea of details, some main principles of information processing in the brain at cognitive-, neuronal-, genetic-, and particle field information levels are reviewed. The paper takes the approach towards understanding and building integrative connectionist systems, that integrate principles and rules from different hierarchical levels of information processing in their dynamic interaction, as an approach to develop intelligent machines. Examples given include: simple evolving connectionist systems; evolving spiking neural networks; integrative neurogenetic models; genetically defined robots; quantum evolutionary algorithms for exponentially faster optimization; integrative quantum neural networks. Some of the new integrative models are significantly faster in feature selection and learning and can be used to solve efficiently NP complete biological and engineering problems for adaptive, incremental learning in a large dimensional space-an important feature of the human intelligence. They can also help to better understand complex information processes in the brain, especially how information processes at different information levels interact to achieve a higher level intelligent human behavior. Open questions, challenges and directions for further research are presented.

Introduction

With young voters reporting lower levels of political knowledge and information than older voters, and with young citizens often attributing their abstention from voting to their lack of political knowledge, this study focuses on the role that specific campaign messages play in enhancing young voters' political information. We first advance a theory of political information efficacy, positing that different levels of information processing occur from different sources of political information. Our findings reveal that specific types of political messages affect young and older citizens' political information efficacy differently and that political information efficacy plays a significant role in voting or nonvoting for young citizens.

Sm@rt Logistics: Intelligent networked systems

Inbound logistics is even in mass production often characterized by a growing number of product variants and the trend towards “lot size one”. In comparison with classic demand-oriented supply principles and Kanban, an event driven planning and control system based on negotiation mechanisms leads to more efficient and secure logistics processes. Therefore three solutions have been developed. To acquire the needed real time information, RFID-tags are used and an electronic assistance system is developed. Second, different levels of information processing provide a dynamic and flexible planning module and a process controlling with plausibility checks. Third, a robust sensing infrastructure on the shop floor can be ensured despite interferences like electromagnetic fields.