Task Outcomes Research Articles

The Effect of the Linguistic Status of Text Previewing in Arabic on the Reading Comprehension Outcomes Among Second and Sixth Grade Native Arabs Readers: A Cross-Sectional View.

The current study examined the effect of the linguistic status of the verbal previewing strategy on the outcomes of reading comprehension tasks among second (N = 25, age 7.08 ± .3), and sixth-grade students (N = 25, age 11.75 ± .25), with typical reading development. The texts for each group were carefully matched and were divided into three conditions of verbal previewing: (a) Standard Arabic previewing (hereafter: StA previewing); (b) spoken Arabic previewing (hereafter: SpA previewing); (c) without previewing. The results showed that for the second-grade readers, SpA previewing had a significant contribution to the reading comprehension outcomes compared to the other conditions of previewing while for the sixth-grade readers; StA previewing had a significant contribution to the outcomes of reading comprehension. The findings were explained according to the assumption that relatively native Arab speaking students develop a progressive change toward activation of StA representations for verbal learning. Such representations become more efficient as a result of the dominant exposure to StA during performing reading and writing tasks.

An at-home evaluation of a light intervention to mitigate sleep inertia symptoms

ObjectivesUnder laboratory settings, light exposure upon waking at night improves sleep inertia symptoms. We investigated whether a field-deployable light source would mitigate sleep inertia in a real-world setting. MethodsThirty-six participants (18 female; 26.6 years ± 6.1) completed an at-home, within-subject, randomized crossover study. Participants were awoken 45 minutes after bedtime and wore light-emitting glasses with the light either on (light condition) or off (control). A visual 5-minute psychomotor vigilance task, Karolinska sleepiness scale, alertness and mood scales, and a 3-minute auditory/verbal descending subtraction task were performed at 2, 12, 22, and 32 minutes after awakening. Participants then went back to sleep and were awoken after 45 minutes for the opposite condition. A series of mixed-effect models were performed with fixed effects of test bout, condition, test bout × condition, a random effect of the participant, and relevant covariates. ResultsParticipants rated themselves as more alert (p = .01) and energetic (p = .001) in the light condition compared to the control condition. There was no effect of condition for descending subtraction task outcomes when including all participants, but there was a significant improvement in descending subtraction task total responses in the light condition in the subset of participants waking from N3 (p = .03). There was a significant effect of condition for psychomotor vigilance task outcomes, with faster responses (p < .001) and fewer lapses (p < .001) in the control condition. ConclusionsOur findings suggest that light modestly improves self-rated alertness and energy after waking at home regardless of sleep stage, with lower aggression and improvements to working memory only after waking from N3. Contrary to laboratory studies, we did not observe improved performance on the psychomotor vigilance task. Future studies should include measures of visual acuity and comfort to assess the feasibility of interventions in real-world settings.

Fostering a virtual knowledge sharing community in a Malaysian financial institution

The purpose of this research was to study the set-up process of cultivating a knowledge sharing community in a financial institution comprising of 500 over employees. The areas that were researched were – what major issues can be identified during the set-up phase, the critical success factors, and way-forward plans to sustain this program. This paper proposes in adopting an IS model in implementing a virtual knowledge sharing community. Conforming to a case study approach, the study investigates the outcomes of a 14-month on-going implementation program, encompassing of strategic discussions and multiple workshops in assessing critical knowledge assets and developing techniques in how best to manage explicit and tacit knowledge, amongst knowledge workers. The valuable insights were focused, in particular on KM training for the newly designated ‘KM Stewards’ who were responsible of driving the organisational KM strategic initiatives and the implementation of a KM capability assessment technique that can be adopted in a financial sector. Special emphasis was made in building the skills in intra-organisational cooperation and management engagement for meeting the challenge of ‘capturing’ and codifying tacit knowledge and ultimately the generation of lessons learned and fostering of virtual communities of practice in promoting a new form of ‘collective intelligence’ in the organisation. With practitioners’ experience in adopting an IS model, this paper will highlight the implementation road map for assessing the usage of knowledge management systems, challenges faced by the KM Task Force, action plans and outcomes with the user community. Finally, this article will be able to contribute to the theoretical knowledge on knowledge sharing in the financial sector of domain. The research methodology is discussed, followed by results and a discussion of the results. Finally, conclusion and future research are presented.

Distractor-Specific Single Neuron Activity Predicts Visual Working Memory Task Outcomes

&#x0D; &#x0D; &#x0D; &#x0D; This paper explores the relationship between neural activity and behavioral performance in the form of visual working memory (VWM) task outcomes, by answering the question: Are there any significant differences in the firing rates of individual neurons during the distractor presentation period of a VWM task between success and error trials that can predict the outcome of a trial? Distractor-specific single neuron firing rates during a VWM task were analyzed to answer this question. A logistic regression was used to identify the predictive capability of neural firing rate on trial outcome with the neural activity of 51 cells from the lateral prefrontal cortex (LPFC) of a primate. This study found that a best-fit logistic model could predict the behavioral performance of the primate (success or error of the VWM task) with 63.01% accuracy, with additional machine learning techniques producing scores upwards of 68% accuracy. Moreover, greater firing rates in response to the distractor, indicating less efficient distractor suppression, accompanied the error trials of the VWM task. This suggests that stronger neural responses to task-specific distractors can hinder the attentional filtering required for efficient working memory, supporting previous research that found that distractor suppression is a mechanism that heavily influences WM efficiency. These findings indicate that people, particularly children, with disorders that affect WM capacity such as ADHD may experience stronger neural responses to distractors, and therefore inefficient distractor suppression, at the single neuron level when engaging in goal-oriented behaviors, which can significantly impact learning and other developmental processes.&#x0D; &#x0D; &#x0D; &#x0D;

Rhodiola rosea as an adaptogen to enhance exercise performance: a review of the literature.

Rhodiola rosea (RR) is a plant whose bioactive components may function as adaptogens, thereby increasing resistance to stress and improving overall resilience. Some of these effects may influence exercise performance and adaptations. Based on studies of rodents, potential mechanisms for the ergogenic effects of RR include modulation of energy substrate stores and use, reductions in fatigue and muscle damage and altered antioxidant activity. At least sixteen investigations in humans have explored the potential ergogenicity of RR. These studies indicate acute RR supplementation (∼200 mg RR containing ∼1 % salidroside and ∼3 % rosavin, provided 60 min before exercise) may prolong time-to-exhaustion and improve time trial performance in recreationally active males and females, with limited documented benefits of chronic supplementation. Recent trials providing higher doses (∼1500 to 2400 mg RR/d for 4–30 d) have demonstrated ergogenic effects during sprints on bicycle ergometers and resistance training in trained and untrained adults. The effects of RR on muscle damage, inflammation, energy system modulation, antioxidant activity and perceived exertion are presently equivocal. Collectively, it appears that adequately dosed RR enhances dimensions of exercise performance and related outcomes for select tasks. However, the current literature does not unanimously show that RR is ergogenic. Variability in supplementation dose and duration, concentration of bioactive compounds, participant characteristics, exercise tests and statistical considerations may help explain these disparate findings. Future research should build on the longstanding use of RR and contemporary clinical trials to establish the conditions in which supplementation facilitates exercise performance and adaptations.

Simulation Evidence of Trust Calibration: Using POMDP with Signal Detection Theory to Adapt Agent Features for Optimised Task Outcome During Human-Agent Collaboration

Appropriately calibrated human trust is essential for successful Human-Agent collaboration. Probabilistic frameworks using a partially observable Markov decision process (POMDP) have been previously employed to model the trust dynamics of human behavior, optimising the outcomes of a task completed with a collaborative recommender system. A POMDP model utilising signal detection theory to account for latent user trust is presented, with the model working to calibrate user trust via the implementation of three distinct agent features: disclaimer message, request for additional information, and no additional feature. A simulation experiment is run to investigate the efficacy of the proposed POMDP model compared against a random feature model and a control model. Evidence demonstrates that the proposed POMDP model can appropriately adapt agent features in-task based on human trust belief estimates in order to achieve trust calibration. Specifically, task accuracy is highest with the POMDP model, followed by the control and then the random model. This emphasises the importance of trust calibration, as agents that lack considered design to implement features in an appropriate way can be more detrimental to task outcome compared to an agent with no additional features.

The Cognitive Costs of Design Tasks: Examining Cognitive Load Through Verbal and Physical Indicators

Abstract Prior work has demonstrated that design tasks can be cognitively demanding, due to the inherent ambiguity and complexity of design problems. Few studies, however, have examined the evolution of cognitive load during the engineering design process and the linkages between subdimensions of cognitive load and design task outcomes. To address this gap, the current work investigates the evolution of cognitive load across two distinct design tasks: ideation and prototyping, and the relationship between cognitive load and design task outcomes. Results suggest that there is a significant difference in cognitive load experienced by the designer during ideation and prototyping. Additionally, findings suggest that cognitive load during ideation is positively correlated with the uniqueness, usefulness, and elegance of ideas.

A common self-advantage across the implicit and explicit levels for self-body recognition.

Although self-bias has been extensively studied and confirmed in various self-related stimuli, it remains controversial whether self-body can induce recognition advantage at the explicit level. After careful examination of previous experiments related to self-body processing, we proposed that participant strategies may influence explicit task outcomes. To test our hypothesis, we designed a novel explicit task. For comparison, we also conducted classic explicit and implicit tasks. With the newly designed explicit task, we found clear and robust evidence of self-hand recognition advantage at the explicit level. Moreover, we found that there was a strong link between self-advantage found in the classic implicit task and the newly designed explicit task, indicating that the self-advantage processing by these two pathways may be linked. These findings provide new insights into the long-standing inconsistencies in previous studies and open a new avenue for studying self-bias using self-body stimuli.

Attention mechanisms and emotion judgment for Korean and American emotional faces: an eye movement study.

This study investigates attention mechanisms and the accuracy of emotion judgment among South Korean children by employing Korean and American faces in conjunction with eye-tracking technology. A total of 42 participants were individually presented with photos featuring either Korean or American children, and their task was to judge the emotions conveyed through the facial expressions in each photo. The participants' eye movements during picture viewing were meticulously observed using an eye tracker. The analysis of the emotion judgment task outcomes revealed that the accuracy scores for discerning emotions of joy, sadness, and anger in Korean emotional faces were found to be significantly higher than those for American children. Conversely, no significant difference in accuracy scores was observed for the recognition of fear emotion between Korean and American faces. Notably, the study also uncovered distinct patterns of fixation duration among children, depending on whether they were viewing Korean or American faces. These patterns predominantly manifested in the three main facial areas of interest, namely the eyes, nose, and mouth. The observed phenomena can be best understood within the framework of the "other-race effect." Consequently, this prototype formation leads to heightened accuracy in recognizing and interpreting emotional expressions exhibited by faces belonging to the same racial group. The present study contributes to a deeper understanding of how attention mechanisms and other-race effects impact emotion judgment among South Korean children. The utilization of eye-tracking technology enhances the validity and precision of our findings, providing valuable insights for both theoretical models of face processing and practical applications in various fields such as psychology, education, and intercultural communication.

Glucocorticoid enhances presenilin1-dependent Aβ production at ER’s mitochondrial-associated membrane by downregulating Rer1 in neuronal cells

Stress-induced release of glucocorticoid is an important amyloidogenic factor that upregulates amyloid precursor protein (APP) and β secretase 1 (BACE1) levels. Glucocorticoid also contributes to the pathogenesis of Alzheimer’s disease (AD) by increasing ER-mitochondria connectivity, in which amyloid β (Aβ) processing occurs rigorously because of its lipid raft-rich characteristics. However, the mechanism by which glucocorticoid enhances γ-secretase activity in the mitochondrial-associated membrane of ER (MAM) and subsequent accumulation of mitochondrial Aβ is unclear. In this study, we determined how glucocorticoid enhances Aβ production in MAM using SH-SY5Y cells and ICR mice. First, we observed that cortisol-induced Aβ accumulation in mitochondria preceded its extracellular apposition by enhancing γ-secretase activity, which was the result of increased presenilin 1 (PSEN1) localization in MAM. Screening data revealed that cortisol selectively downregulated the ER retrieval protein Rer1, which triggered its maturation and subsequent entry into the endocytic secretory pathway of PSEN1. Accordingly, overexpression of RER1 reversed the deleterious effects of mitochondrial Aβ on mitochondrial respiratory function and neuronal cell viability. Notably, we found that cortisol guided the glucocorticoid receptor (GR) to bind directly to the RER1 promoter, thus trans-repressing its expression. Inhibiting GR function reduced Aβ accumulation at mitochondria and improved the outcome of a spatial memory task in mice exposed to corticosterone. Taken together, glucocorticoid enhances PSEN1-mediated Aβ generation at MAM by downregulating Rer1, which is a potential target at early stages of AD pathogenesis.

A mixed-method analysis of self-efficacy for speaking with university EFL learners

ABSTRACT This study explores speaking self-efficacy for university EFL students in Japan. The primary objectives of the study were to analyse the growth of self-efficacy over time, potential differences between male and female students, and the relationship between self-efficacy, casual attribution, and outcome satisfaction. While several studies have shown a correlation between self-efficacy and achievement in language learning (Raoofi et al. 2012), there are few studies that have focused specifically on the domain of speaking. 58 first– and second-year Japanese students filled out a series of three questionnaires in conjunction with a standardised speaking test given at two points during a 15-week semester. ANOVA results indicated a significant growth in self-efficacy for the speaking test, and that male students reported significantly higher self-efficacy than the female students. Furthermore, correlational analysis showed a moderate relationship between self-efficacy and stability attributions on the final speaking test, as well as a weak but significant negative relationship between self-efficacy and outcome satisfaction. These results highlight the need for more fine-grained analysis of self-efficacy in language learning to gain clearer insight into how it develops over time, the psychological constructs that interact with it, and the potential impact on task valuation and outcome expectancy.

Stimulus control and delayed outcomes in a human causality judgment task.

Three experiments examined the impact of delayed outcomes on stimulus control of causal judgments using an interdimensional generalization procedure. Human participants rated the causal effectiveness of responses on multiple schedules, and then underwent a generalization test. In Experiment 1, a 3 s unsignaled outcome delay reduced ratings of causal effectiveness, relative to an immediate outcome, but had higher ratings compared to a component lacking outcomes. In a generalization test, incremental generalization gradients, indicating inhibitory control, were found for the stimulus associated with delayed outcomes when comparison was with immediate outcomes; but decremental gradients, indicating excitatory control, were found when the comparator lacked outcomes. In Experiment 2, signaled 3 s outcome delays produced higher causal ratings than unsignaled delays; with unsignaled delays producing incremental (inhibitory) and signaled delays producing decremental (excitatory), generalization gradients when compared against each other. In Experiment 3, relative to immediate outcomes, unsignaled delays produced incremental (inhibitory) gradients and signaled delays produced no gradient. These findings suggest similar factors may control judgments of causality as control conditioned responding. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Failures of urge suppression in obsessive-compulsive disorder: Behavioral modeling using a blink suppression task

Many individuals with obsessive-compulsive disorder (OCD) report sensory-based urges (e.g. ‘not-just-right experiences’) in addition to, or instead of, concrete fear-based obsessions. These sensations may be comparable to normative “urges-for-action” (UFA), such as the urge to blink. While research has identified altered functioning of brain regions related to UFA in OCD, little is known about behavioral patterns of urge suppression in the disorder. Using an urge-to-blink task as a model for sensory-based urges, this study compared failures of urge suppression between OCD patients and controls by measuring eyeblinks during 60-s blocks of instructed blink suppression. Cox shared frailty models estimated the hazard of first blinks during each 60-s block and recurrent blinks following each initial erroneous blink. OCD patients demonstrated a higher hazard of first and recurrent blinks compared to controls, suggesting greater difficulty resisting repetitive sensory-based urges. Within OCD, relationships between task outcomes and symptom severity were inconsistent. Findings provide support for a deficit in delaying initial urge-induced actions and terminating subsequent actions in OCD, which is not clearly related to clinical heterogeneity. Elucidating the nature of behavioral resistance to urges is relevant for informing conceptualizations of obsessive-compulsive psychopathology and optimizing treatment outcomes.

Measuring attentional blink magnitude: Reliability and validity of a novel single-target rapid serial visual presentation task index in a psychiatric sample

Rapid serial visual presentation (RSVP) tasks have been frequently used to assess attentional control in psychiatric samples; however, it is unclear whether RSVP tasks exhibits the psychometric properties necessary to assess these individual differences. In the current study, we examined the reliability and validity of single-target computerized RSVP task outcomes in a sample of 63 participants with moderate to severe psychiatric illness. At the group level, we observed the classical attentional blink phenomenon. At the individual level, conventional indices of attentional blink magnitude exhibited poor internal consistency. We empirically evaluated a novel index for assessing attentional blink magnitude using a single-target RSVP task that involves collapsing across experimental trials in which the attentional blink phenomenon occurs and disregarding performance on control trials, which suffer from ceiling effects. We found that this new index resulted in much improved reliability estimates. Both novel and conventional indices provided evidence of convergent validity. Consequently, this novel index may be worth examining and adopting for researchers interested in assessing individual differences in attentional blink magnitude.

Flexibility Conceiving Relationships between Timbres Revealed by Network Analysis

Perceived relationships between timbres are critical in electroacoustic music. Most studies assume timbres have fixed inter-relationships, but we tested whether distinct tasks change these. Thirty short sounds were used, from five categories: acoustic instruments, impulse responses, convolutions of the preceding, environmental sounds and computer-manipulated instrumental sounds. In Task 1, 46 non-musicians formed a ‘cohesive’ sonic ordering of unlabelled icons (sounds attached). In Task 2, they categorised the icons into four boxes. In Task 3 listeners separately ordered the sounds from each of Task 2’s boxes using the approach of Task 1. Tasks 1 and 2/3 revealed distinct orderings, consistent with conceptual flexibility. To analyse the orderings, we replaced conventional distance by adjacency measures, and described each system as a network (rather than spatial positions), confirming that the two task outcomes were distinct. Network analyses also showed that the two systems were mechanistically distinct and allowed us to predict temporally changing networks, modelling the observed networks as successive perceptions. Further simulated networks generated with the temporal model readily encompassed all possible pairings between the sounds and not just those we observed. The temporal network model thus confirms conceptual flexibility even in untrained listeners, clearly suitable for a composer to use.

A blended neurostimulation protocol to delineate cortico-muscular and spino-muscular dynamics following neuroplastic adaptation.

In this paper we propose a novel neurostimulation protocol that provides an intervention-based assessment to distinguish the contributions of different motor control networks in the cortico-spinal system. Specifically, we use a combination of non-invasive brain stimulation and neuromuscular stimulation to probe neuromuscular system behavior with targeted impulse-response system identification. In this protocol, we use an in-house developed human-machine interface (HMI) for an isotonic wrist movement task, where the user controls a cursor on-screen. During the task, we generate unique motor evoked potentials based on triggered cortical or spinal level perturbations. Externally applied brain-level perturbations are triggered through TMS to cause wrist flexion/extension during the volitional task. The resultant contraction output and related reflex responses are measured by the HMI. These movements also include neuromodulation in the excitability of the brain-muscle pathway via transcranial direct current stimulation. Colloquially, spinal-level perturbations are triggered through skin-surface neuromuscular stimulation of the wrist muscles. The resultant brain-muscle and spinal-muscle pathways perturbed by the TMS and NMES, respectively, demonstrate temporal and spatial differences as manifested through the human-machine interface. This then provides a template to measure the specific neural outcomes of the movement tasks, and in decoding differences in the contribution of cortical- (long-latency) and spinal-level (short-latency) motor control. This protocol is part of the development of a diagnostic tool that can be used to better understand how interaction between cortical and spinal motor centers changes with learning, or injury such as that experienced following stroke.

EFL adolescent learners’ perceptions of digital multimodal composing tasks and task outcomes: A longitudinal study

AbstractAlthough the value of digital multimodal composing (DMC) in language learning is being increasingly recognized, longitudinal studies focusing on second language (L2) students’ DMC practices are scarce. To fill the gap, this multi‐case study aimed to explore English as a foreign language adolescent learners’ evolving perceptions of the role of DMC tasks in English learning and the relationship between the quality of DMC task outcomes and learners’ perceptions over 7 months. Eight DMC tasks were implemented in an English composition class, and perceptions and task outcomes of three focal participants were tracked over time. Data were collected from multiple sources, such as a learner background questionnaire, a digital literacy questionnaire, semi‐structured interviews, reflection surveys, and the scores of students’ DMC tasks. Findings indicate that although all three participants acknowledged a beneficial role of DMC practices, each participant's perception exhibited different patterns over time: two kept the similar perceptions (negative and positive for each) and one showed a change in her perceptions (negative to positive). Results suggest that this difference could be attributed to various factors, including perceived level of digital literacy, the ongoing learning experience with DMC tasks, and understanding of multimodality. Regarding the relationship between the quality of DMC outcomes and students’ perceptions, although all three learners tended to perform better on their tasks over time, participants’ attitudes seemed to mediate the quality of DMC products. Pedagogical implications of the study are discussed in light of important considerations when implementing DMC tasks in L2 classrooms.

Impact and centrality of attention dysregulation on cognition, anxiety, and low mood in adolescents

Functional impairments in cognition are frequently thought to be a feature of individuals with depression or anxiety. However, documented impairments are both broad and inconsistent, with little known about when they emerge, whether they are causes or effects of affective symptoms, or whether specific cognitive systems are implicated. Here, we show, in the adolescent ABCD cohort (N = 11,876), that attention dysregulation is a robust factor underlying wide-ranging cognitive task impairments seen in adolescents with moderate to severe anxiety or low mood. We stratified individuals high in DSM-oriented depression or anxiety symptomology, and low in attention deficit hyperactivity disorder (ADHD), as well as vice versa – demonstrating that those high in depression or anxiety dimensions but low in ADHD symptoms not only exhibited normal task performance across several commonly studied cognitive paradigms, but out-performed controls in several domains, as well as in those low in both dimensions. Similarly, we showed that there were no associations between psychopathological dimensions and performance on an extensive cognitive battery after controlling for attention dysregulation. Further, corroborating previous research, the co-occurrence of attention dysregulation was associated with a wide range of other adverse outcomes, psychopathological features, and executive functioning (EF) impairments. To assess how attention dysregulation relates to and generates diverse psychopathology, we performed confirmatory and exploratory network analysis with different analytic approaches using Gaussian Graphical Models and Directed Acyclic Graphs to examine interactions between ADHD, anxiety, low mood, oppositional defiant disorder (ODD), social relationships, and cognition. Confirmatory centrality analysis indicated that features of attention dysregulation were indeed central and robustly connected to a wide range of psychopathological traits across different categories, scales, and time points. Exploratory network analysis indicated potentially important bridging traits and socioenvironmental influences in the relationships between ADHD symptoms and mood/anxiety disorders. Trait perfectionism was uniquely associated with both better cognitive performance and broad psychopathological dimensions. This work suggests that attentional dysregulation may moderate the breadth of EF, fluid, and crystalized cognitive task outcomes seen in adolescents with anxiety and low mood, and may be central to disparate pathological features, and thus a target for attenuating wide-ranging negative developmental outcomes.

Stratification of responses to tDCS intervention in a healthy pediatric population based on resting-state EEG profiles

Transcranial Direct Current Stimulation (tDCS) is a non-invasive neuromodulation technique with a wide variety of clinical and research applications. As increasingly acknowledged, its effectiveness is subject dependent, which may lead to time consuming and cost ineffective treatment development phases. We propose the combination of electroencephalography (EEG) and unsupervised learning for the stratification and prediction of individual responses to tDCS. A randomized, sham-controlled, double-blind crossover study design was conducted within a clinical trial for the development of pediatric treatments based on tDCS. The tDCS stimulation (sham and active) was applied either in the left dorsolateral prefrontal cortex or in the right inferior frontal gyrus. Following the stimulation session, participants performed 3 cognitive tasks to assess the response to the intervention: the Flanker Task, N-Back Task and Continuous Performance Test (CPT). We used data from 56 healthy children and adolescents to implement an unsupervised clustering approach that stratify participants based on their resting-state EEG spectral features before the tDCS intervention. We then applied a correlational analysis to characterize the clusters of EEG profiles in terms of participant’s difference in the behavioral outcome (accuracy and response time) of the cognitive tasks when performed after a tDCS-sham or a tDCS-active session. Better behavioral performance following the active tDCS session compared to the sham tDCS session is considered a positive intervention response, whilst the reverse is considered a negative one. Optimal results in terms of validity measures was obtained for 4 clusters. These results show that specific EEG-based digital phenotypes can be associated to particular responses. While one cluster presents neurotypical EEG activity, the remaining clusters present non-typical EEG characteristics, which seem to be associated with a positive response. Findings suggest that unsupervised machine learning can be successfully used to stratify and eventually predict responses of individuals to a tDCS treatment.

Proposed Algorithm for the Optimisation of the Process of Generating the Geometry of Land Use/Soil Valuation Classes for Land Consolidation

Consolidation of land is one of the main procedures for optimising agrarian structures and creating a space for sustainable rural development. A specific feature of a land consolidation project is its complexity and multiple aspects. The considerable number of complex operations making up the whole procedure implies the necessity of using specialist technical tools to ensure effective surveys. The latest developments in technology are giving way to dedicated solutions that can optimise the working time and quality of the outcomes of respective tasks. This paper outlines a self-designed algorithm for generating the technical layer of land use/soil valuation classes based on layers of soil class contours and land use contours, which are obligatory elements of a digital cadastre database in Poland. The fully automated procedure, next to efficient conversion of spatial data, involves detailed verification of the correctness of input data and elimination of various errors. The tool’s deliverable is a set of data necessary for proceeding with selected elements of the land consolidation process, such as comparative estimates of land value and farmstead designs based on land value. The designed tool was implemented at the Subcarpathian Office of Land Surveying and Agricultural Areas in Rzeszów (Poland). The proposed solutions contributed to considerable improvement in the time devoted to performing selected tasks and the substantive correctness of the results.