Interactive Effects Research Articles

Interplay of calcium pyrophosphate crystals, oxidative stress, and clinical features on knee osteoarthritis severity.

Deposition of calcium pyrophosphate (CPP) crystals is observed in most joints affected by severe osteoarthritis (OA). CPP may cause local damage by inducing an inflammatory process and oxidative stress (OS). To evaluate inflammation and OS induced by CPP deposition and their association with the degree of knee OA. Synovial fluid (SF) from patients with OA classified as grade 3 and 4 (ACR criteria) was analyzed. Reactive oxygen species (ROS) and H2O2 levels were quantified, and inflammation by white blood cell (WBC) count. CPPs were detected by polarized light microscopy. Multifactorial dimensionality reduction (MDR) was used to visualize possible interactive effects between variables. Fifty-six SF were analyzed, 22 (39.28%) were in moderate OA and 34 (60.71%) in severe OA. CPPs were identified in 17 moderate OA and 18 severe OA samples. In the moderate OA, ROS levels were significantly higher in the CPP + group (5.0% vs 2.0%, P = 0.03). Body mass index and CPP were significantly correlated (r = - 0.439, P = 0.041). In the severe OA group, there were significant correlations of age with WBC (r = - 0.431, P = 0.011), WBC with H2O2 (r = 0.454, P = 0.007), and ROS with H2O2 (r = 0.387, P = 0.024). MDR analysis revealed strong synergistic interactions between H2O2 and sex (6.68%) for moderate OA, while for severe OA, there were interactions between sex and ROS (6.99%) and between sex and inflammation (4.39%). ROS and inflammation may be factors that potentiate damage in knee OA, and this may help in the development of antioxidant interventions for CPP-associated OA. Key Points • This study evaluated CPP crystal-induced oxidative stress and inflammation and their effect on OA severity. • In the moderate OA phenotype, CPP crystals modify ROS levels. • ROS and inflammation are factors that increase damage in knee OA, especially when CPP crystals are present.

Association between duration of phenoxybenzamine use and postoperative delirium in suspected adrenal pheochromocytoma: a retrospective cohort study.

At present, the available evidence regarding the relationship between duration of phenoxybenzamine use and postoperative delirium is inadequate in suspected adrenal pheochromocytoma. To understand how changes in the duration of phenoxybenzamine use may affect postoperative delirium. The secondary objective of this study is to explore how the duration of phenoxybenzamine use may jointly influence postoperative delirium together with other interacting variables. We conducted a retrospective cohort study involving 527 participants with a preoperative diagnosis of suspected pheochromocytoma. CT characteristics, preoperative preparation, intraoperative infusion, estimated bleeding, use of intraoperative vasoactive drugs, and outcomes were obtained from all participants. Logistic regression and interaction effects were utilized to substantiate the research objectives. A total of 108 (20.5%) developed postoperative delirium, which was seen in 37 (18.0%) in the pheochromocytoma group and 71 (22.0%) in the non-pheochromocytoma group. The incidence of postoperative delirium showed no statistically significant differences in the two groups. A positive association between the duration of phenoxybenzamine use and the risk of postoperative delirium was observed (OR = 1.05, 95%CI = 1.03-1.08, p < 0.01), independent of confounders. The relationship between the duration of phenoxybenzamine use and postoperative delirium differed according to the presence or absence of pheochromocytoma, suggesting an interactive effect (p < 0.05). This study highlights the influence of inappropriate duration of phenoxybenzamine use on the risk of incident postoperative delirium, independent of confounders. The effect of duration of phenoxybenzamine use causes a further increase in the risk of postoperative delirium, especially in non-pheochromocytomas.

Research on the Interactivity Effect of Case Study Teaching in the Computer Programming Class

Case teaching plays an important role in the application of computer language courses currently, .At the same time, interactive teaching methods can improve the quality of classroom teaching.Different students learn computer programming at different levels, including beginner, intermediate and advanced.For beginners, the classroom teaching process can be arranged in the form of questions and answers, and the questions and answers between teachers and students can explain important concepts and procedural structures clearly.For intermediate level students, interactive teaching can increase eye contact to improve the classroom teaching effect.For advanced learners, discussion instruction requires an optimized understanding of problem solving, and it serves as a bridge between students and teachers.

Exploring interactive effects of environmental and microbial factors on food waste anaerobic digestion performance: Interpretable machine learning models

Biogas yield in anaerobic digestion (AD) involves continuous and complex biological reactions. The traditional linear models failed to quantitatively assess the interactive effects of these factors on AD performance. To further explore the internal relationship between target variables and AD performance, this study developed four machine learning models to predict biogas yield and consider the interaction among various factors. Results indicated that the highest prediction accuracy of AD performance was achieved by adding bacterial genera dataset with environmental factors. Random forest model exhibited the highest accuracy, with the testing coefficient of determination equal to 0.9879. Among two types of input features, the bacterial genera accounted for 89.9 % of the impact on biogas yield, followed by environmental factors. The results revealed Keratinibaculum and Acetomicrobium as critical bacteria. The volatile fatty acid controlled below 2000 mg/L and the improved stirring system in AD process were recommended to achieve maximum biogas yield.

Evaluating the Joint Effects of Recurrent Copy Number Variants and Polygenic Scores on the Risk of Psychiatric Disorders in the iPSYCH2015 Case-Cohort Sample.

The impact of rare recurrent copy number variants (rCNVs) and polygenic background attributed to common variants, on the risk of psychiatric disorders is well-established in separate studies. However, it remains unclear how polygenic background modulates the effect of rCNVs. Using the population-representative iPSYCH2015 case-cohort sample (N=96,599), we investigated the association between absolute risk of psychiatric disorders and carriage of rCNVs and polygenic scores (PGS), as well as the interaction effect between the two on disease risk. Carriers of rCNVs with higher gene constraint scores had an increased absolute risk for autism, ADHD, and schizophrenia, but not depression, whereas an increase in PGS for each respective disorder was associated with higher absolute risk across all four disorders. Similarly, elevated absolute risks were observed with the increase of both PGS and gene constraints of rCNVs except in the case of depression. In contrast to some previous case-control studies, our joint analysis of rCNV groups and PGS revealed no indication of significant interactive effect between these two factors on disease risk. Also, we found no significant interactions of PGS with any of the most common individual rCNVs, except in the case of 16p13.11 duplication, which was found to attenuate the effect of ADHD-PGS on the absolute risk of ADHD. This study advances our understanding of the interplay between rare and common important genetic risk factors for major psychiatric disorders and sheds light on the importance of population-based samples in implementing precision medicine.

Changes in waterbird occurrence and abundance at their northern range boundaries in response to climate warming: importance of site area and protection status

AbstractClimate warming is driving changes in species distribution, but habitat characteristics can interact with warming temperatures to affect populations in unexpected ways. We investigated wintering waterbird responses to climate warming depending on habitat characteristics, with a focus on the northern boundary of their non‐breeding distributions where winter climatic conditions are more extreme. At these Nordic latitudes, climate warming is expected to drive positive changes in species occurrence and abundance, with likely differences in species‐specific responses. We analyzed the occurrence and abundance of 18 species of waterbirds monitored over 2,982 surveys at 245 inland wetlands over a 25‐year period in Sweden. We used hierarchical modeling of species communities (HMSC) which enabled us to relate species‐specific changes to both functional traits and phylogenetic relatedness. We investigated occurrence and abundance changes in response to average temperature, temperature anomalies, site area, site protection status (Natura 2000), and land use in agricultural and urban surfaces. Unsurprisingly, both average temperatures and temperature anomalies were the most important variables influencing positively waterbird occurrence and abundance. For 60% of the species, the effect of temperature anomalies was even stronger in large or protected wetlands. Geese and mallard occurred more often at sites surrounded by agricultural and urban surfaces, respectively, but their occurrence in these habitats was not affected by interactive effects with climate warming. Species abundance was greater inside protected areas only for 11% of the species, but occurrence probability was higher inside protected areas for 44% of the species. Overall, we observed that species thermal affinity was a strong predictor for positive species response to temperature anomalies, and that species sharing similar phylogenetic history had similar relationships with environmental variables. Protection of large wetlands and restoration of the surrounding habitats are two targets for climate change adaptation strategies to facilitate future responses of waterbirds to climate warming.

Paragogy as an alternative solution to make students artists for their own learning: A systematic literature review

The cognitive capacity of humans typically reaches psychosocial maturity around the age of 18, providing students with a robust foundation to design their own lives. However, in higher education, many lecturers and students continue to rely on traditional lecture-based teaching as the predominant educational approach. This systematic literature review examines the application of paragogy in learning practices. Data for the review were collected from the Scopus, ERIC, and ScienceDirect databases, with article selection guided by the PRISMA method. The findings indicate that the implementation of paragogy is motivated by diminishing effectiveness in both reflective and collaborative interactions among peers, among other factors. The content and goals of paragogy implementation vary, with a primary focus on higher education students. These students, along with their peers, play a significant role in shaping their learning experiences. Key challenges include students' difficulties in grasping topics when unprepared, complications arising from managing large numbers of students and limited time in practical sessions, and other constraints encountered.

Influence of physical activity on loneliness and depression among the older adults in Nigeria.

This study aims to determine the predictive influence of physical activities (PA) and evaluate the interactive effect of PA and loneliness on depression among older adults in Nigeria. Data was collected from 369 randomly selected older adults and analysed using descriptive statistics, chi-square test and logistic regression models. The result showed that that the predictors of depression were loneliness (OR = 4.59; p < 0.001), PA High (OR = 2.51; p = 0.008), Age 80-89(OR = 9.63; p < 0.001), education: Secondary (OR = 2.04; 0.049), religion (OR = 0.30; p 0 < 0.001) and living arrangement: Family (OR = 1.87; p = 0.037. The study further showed that there is an interactive effect of PA to reduce the odds of loneliness on depression (OR reduced from 4.59 to 3.40). The study concluded that the predictors of depression in this population are loneliness, physical activity, age, education, and religion while depression and the living arrangements are the predictors of loneliness among older adults.

The synthesis of logistics performance and technological innovation on environmental quality

PurposeThis study aims to examine the impact of logistics performance and technological innovation on environmental quality in Africa, focusing on carbon dioxide (CO2) emissions and renewable energy consumption as indicators of environmental quality.Design/methodology/approachThe study employs a panel data analysis of 43 African countries over the period 1990–2021. Data on logistics performance, technological innovation, CO2 emissions, and renewable energy consumption are sourced from the World Development Indicators database of the World Bank. Grounded in the Triple Bottom Line (TBL) framework, which integrates economic, social and environmental dimensions of sustainability, the analysis utilises the generalised method of moments (GMM) technique to address the issue of endogeneity.FindingsThe regression results reveal significant relationships between logistics performance, technological innovation and environmental quality indicators. Logistics performance demonstrates a negative impact on CO2 emissions, while technological innovation positively influences renewable energy consumption. The interactive effect of logistics performance and technological innovation mitigates CO2 emissions, aligning with the TBL framework’s environmental dimension by promoting sustainability. Furthermore, trade openness exhibits a significant negative effect on both CO2 emissions and renewable energy consumption. The findings highlight the potential synergies between logistics performance and technological innovation in driving environmental sustainability while offering economic benefits and addressing social well-being.Practical implicationsThe findings suggest the importance of prioritising investments in enhancing logistics performance and fostering technological innovation to achieve environmental sustainability goals in Africa.Originality/valueTo the best of the researchers’ knowledge, this study presents an initial attempt to examine the nexus between logistics performance and environmental quality in Africa using the logistics performance index. Furthermore, beyond assessing the individual effects of logistics performance and technological innovation on environmental quality, we delve into their interactive dynamics, adding novelty to the study.

Growth Performance and Microbial Activity Positively Responded to Interactive Effect of Nitrogen and Phosphorus in Young Holstein Dairy Calves.

We hypothesized that nitrogen (N) and phosphorus (P), as two pivotal nutrients that contributed to the growth of growing animals, may have interactive effect on growth performance and microbial development in young calves. For this purpose, feeding two starter protein contents (20% [20CP] vs. 24% [24CP], DM basis) and two phosphorus supplementation levels (0.35% [0.35P] and 0.70% [0.7P], DM basis) was evaluated on growth performance, health indicators, digestibility of nutrients and microbial protein synthesis (MPS), the latter estimated from urinary purine derivatives (PDs). Forty-eight female Holstein calves (3 days of age) were assigned randomly to the following treatments: 20CP-0.35P, 20CP-0.7P, 24CP-0.35P and 24CP-0.7P (n = 12, each). Milk feeding schedule was identical among treatments until weaning (d 59), but study lasted until d 73. Feeding 24CP compared to 20CP diet tended to improve starter intake, increased average daily gain (ADG) during pre-weaning period (p < 0.05), and final body weight (p = 0.01). Higher P supplementation has marginal effect on starter intake but improved ADG (pre-weaning; p = 0.02) and microbial activity by greater MPS (p = 0.02) compared to 0.35P. The greatest starter intake, the most favourable general appearance score, the highest withers height, the highest hip height, the greatest organic matter and neutral detergent digestibility, and the greatest MPS were found when calves fed diets contained 24CP along with 0.7P in starter. Based on the current study results, N and P have separate effects on the growth performance of young calves; however, their positive interaction can be attributable to growth performance and microbial development, especially during the pre-weaning period.

Hyperspectral Leaf Reflectance Detects Interactive Genetic and Environmental Effects on Tree Phenotypes, Enabling Large-Scale Monitoring and Restoration Planning Under Climate Change.

Plants respond to rapid environmental change in ways that depend on both their genetic identity and their phenotypic plasticity, impacting their survival as well as associated ecosystems. However, genetic and environmental effects on phenotype are difficult to quantify across large spatial scales and through time. Leaf hyperspectral reflectance offers a potentially robust approach to map these effects from local to landscape levels. Using a handheld field spectrometer, we analyzed leaf-level hyperspectral reflectance of the foundation tree species Populus fremontii in wild populations and in three 6-year-old experimental common gardens spanning a steep climatic gradient. First, we show that genetic variation among populations and among clonal genotypes is detectable with leaf spectra, using both multivariate and univariate approaches. Spectra predicted population identity with 100% accuracy among trees in the wild, 87%-98% accuracy within a common garden, and 86% accuracy across different environments. Multiple spectral indices of plant health had significant heritability, with genotype accounting for 10%-23% of spectral variation within populations and 14%-48% of the variation across all populations. Second, we found gene by environment interactions leading to population-specific shifts in the spectral phenotype across common garden environments. Spectral indices indicate that genetically divergent populations made unique adjustments to their chlorophyll and water content in response to the same environmental stresses, so that detecting genetic identity is critical to predicting tree response to change. Third, spectral indicators of greenness and photosynthetic efficiency decreased when populations were transferred to growing environments with higher mean annual maximum temperatures relative to home conditions. This result suggests altered physiological strategies further from the conditions to which plants are locally adapted. Transfers to cooler environments had fewer negative effects, demonstrating that plant spectra show directionality in plant performance adjustments. Thus, leaf reflectance data can detect both local adaptation and plastic shifts in plant physiology, informing strategic restoration and conservation decisions by enabling high resolution tracking of genetic and phenotypic changes in response to climate change.

Self-injury and suicidal behaviors in high-risk adolescents: Distal predictors, proximal correlates, and interactive effects of impulsivity and emotion dysregulation.

Suicide rates are rising among U.S. youth, yet our understanding of developmental mechanisms associated with increased suicide risk is limited. One high-risk pathway involves an interaction between heritable trait impulsivity and emotion dysregulation (ED). Together, these confer increased vulnerability to nonsuicidal self-injury (NSSI), suicide ideation (SI), and suicide attempts (SAs). Previous work, however, has been limited to homogeneous samples. We extend the Impulsivity × ED hypothesis to a more diverse sample of adolescents (N = 344, ages 12-15 at Baseline, 107 males and 237 females) who were treated for major depression and assessed four times over two years. In multilevel models, the impulsivity × ED interaction was associated with higher levels and worse trajectories of NSSI, SI, and SAs. As expected, stressful life events were also associated with poorer trajectories for all outcomes, and NSSI was associated with future and concurrent SI and SAs. These findings extend one developmental pathway of risk for self-harming and suicidal behaviors to more diverse adolescents, with potential implications for prevention.

Ecosystem transition due to deer overabundance: Insights from long‐term studies and future considerations

AbstractThe overabundance of certain deer species is emerging as a critical issue in many forested regions across the Northern Hemisphere, including those in Japan. In the field of deer impact studies, the prevailing notion has been that overabundant deer populations could cause drastic changes of ecosystem states. This study comprises a review of the historical discussion surrounding ecosystem changes caused by deer overabundance, from theoretical frameworks to in situ observations and experiments. The synthesis highlights the potential for state transitions, shifting ecosystems from forest to nonforest states, and in some scenarios to a so‐called alternative stable states. However, detecting these transitions poses challenges due to the enduring impacts of past deer activity and the nonequilibrium nature of forest dynamics. Furthermore, this study reveals additional multifield complexities arising from the interactive effects of deer overabundance and global changes on future forest dynamics. To address these challenges, new avenues for research are proposed, emphasizing the importance of sustained efforts in conducting valuable long‐term studies.

Spatiotemporal dynamics and driving factors of ecosystem services value in Lanzhou City, China

Aligned with the imperatives of national ecological civilization construction, the systematic investigation into the intricate interplay between shifts in land utilization and the assessment of ecosystem services plays a pivotal and indispensable role in advancing ecological civilization. This endeavor holds significant implications. It aids in optimizing the ecological landscape at the regional level and fosters harmonious coexistence between humanity and the natural world. The study utilizes land-use remote sensing interpretation data from three time periods (2000, 2010, and 2020) and employs various methodologies, including equivalent factor coefficient correction, sensitivity analysis, and spatial autocorrelation. The objective is to uncover the spatiotemporal dynamics of land-use changes and Ecosystem Service Value (ESV) in Lanzhou City. Furthermore, geographic detectors are applied to explore the driving factors influencing ESV spatial heterogeneity and their interactions. The research findings indicate the following: (1) From 2000 to 2020, grassland and cropland were the predominant land-use types in Lanzhou City, with cropland and urban land experiencing the most active changes. (2) ESV in Lanzhou City increased from 179.37 billion RMB in 2000 to 193.86 billion RMB in 2020, reflecting an ESV total growth rate of 8.07% and a gradual improvement in the ecological environment. Spatially, ESV exhibits a “west high, east low” distribution pattern, with the center shifting towards the northwest and southeast, gradually reducing spatial imbalance. (3) Analysis of ESV spatial autocorrelation reveals that high-high clusters are predominantly found within the Tulu Gou National Forest Park and the Xinglong Mountain National Natural Reserve, while low-low clusters are primarily concentrated in the central urban area of Lanzhou City. Over the period from 2000 to 2020, the spatial clustering effect of ESV within the study area has progressively intensified. 4)NDVI, precipitation, and GDP emerge as pivotal factors influencing spatial differentiation within Lanzhou City, with natural and societal elements exerting interactive effects on ESV spatial disparities. The research results integrate environmental considerations into the decision-making process, offering valuable insights for formulating targeted ecological protection policies in Lanzhou City. This study embodies concrete measures taken by Lanzhou City in practicing China’s concept of “green water and green mountains are golden silver mountains,” providing a theoretical basis for the harmonious and sustainable development of the ecological economy.

Vulnerability of kelp, Ecklonia radiata, to persistent nitrogen pollution and coastal darkening

Coastal darkening is expected to have pervasive impacts on benthic primary producers. However, the effects of nitrogen enrichment, an often-co-occurring stressor, on benthic primary producers and their functions is less clear. This study investigates the interactive effects of coastal darkening and nitrogenous eutrophication, including nitrogen source (NH4+ vs. NO3−), on the function of the kelp Ecklonia radiata. First, an in-situ experiment was used to assess the differential impacts of NH4+ and NO3− pulse enrichment on the photosynthetic performance and pH modulation capacity of E. radiata. Second, a laboratory experiment was used to assess the longer-term impacts of nitrogen enrichment under low-light conditions mimicking coastal darkening on service provisioning, including photosynthetic performance, pH modulation, nutrient uptake and growth. While pulse nitrogen enrichment had no impacts on the photosynthetic performance of E. radiata in-situ, persistent exposure to either NH4+ or NO3− acted as a stressor to sporophytes as indicated by elevated rates of dark respiration and lamina erosion and reduced photosynthetic efficiency and growth rates. Furthermore, low-light conditions elicited reduced photosynthetic capacity at saturating irradiance, which extended to a reduction in the extent of pH modulation, and significantly increased lamina erosion. While the two stressors appeared to act on distinct parameters, ultimately, both darkening and eutrophication directly reduced net primary production, especially when in combination. These results demonstrate the negative interactive effects of coastal darkening and eutrophication on E. radiata function, while suggesting a vulnerability of E. radiata to even moderate levels of persistent nitrogen enrichment. This vulnerability highlights the need to consider environmental conditions during kelp conservation and restoration, and when attempting to valorise kelp ecophysiology for nature-based solutions.

Development and validation of a clinical risk model for postoperative outcome in newly diagnosed glioblastoma: a report of the RANO resect group.

Following surgery, patients with newly diagnosed glioblastoma frequently enter clinical trials. Nuanced risk assessment is warranted to reduce imbalances between study arms. Here, we aimed (I) to analyze the interactive effects of residual tumor with clinical and molecular factors on outcome and (II) to define a postoperative risk assessment tool. The RANO resect group retrospectively compiled an international, seven-center training cohort of patients with newly diagnosed glioblastoma. The combined associations of residual tumor with molecular or clinical factors and survival were analyzed, and recursive partitioning analysis was performed for risk modeling. The resulting model was prognostically verified in a separate external validation cohort. Our training cohort compromised 1003 patients with newly diagnosed isocitrate dehydrogenase-wildtype glioblastoma. Residual tumor, O6-methylguanine DNA methyltransferase (MGMT) promotor methylation status, age, and postoperative KPS were prognostic for survival and incorporated into regression tree analysis. By individually weighting the prognostic factors, an additive score (range, 0-9 points) integrating these four variables distinguished patients with low (0-2 points), intermediate (3-5 points), and high risk (6-9 points) for inferior survival. The prognostic value of our risk model was retained in treatment-based subgroups and confirmed in an external validation cohort of 258 patients with glioblastoma. Compared to previously postulated models, goodness-of-fit measurements were superior for our model. The novel RANO risk model serves as an easy-to-use, yet highly prognostic tool for postoperative patient stratification prior to further therapy. The model may serve to guide patient management and reduce imbalances between study arms in prospective trials.

Interactive effects of climate change and human mobility on dengue transmission

The global escalation of vector-borne epidemics, particularly flaviviruses like dengue fever, presents a growing challenge. Contributing factors such as climate change and increased human mobility have expanded the vulnerability to dengue fever worldwide, yet the underlying mechanisms remain elusive. In this paper, we extend a two-patch dengue transmission model by incorporating the aquatic stage of mosquitoes and integrating the movement of host individuals between patches via a residence-time matrix. Through this approach, we derive the basic reproduction number and directly link it to climate change and human mobility. Our findings reveal bidirectional impacts of human mobility on dengue transmission: an increase in mobility from climatically unsuitable to suitable patches heightens the basic reproduction number, while the reverse pattern diminishes it. Moreover, an asymmetric mobility rate proves potentially more conducive to dengue spread than a symmetric pattern. When coupled with climate changes, asymmetric human mobility further exacerbates dengue fever transmission. These insights offer novel perspectives on the role of human mobility in dengue transmission dynamics and inform intervention strategies, particularly in urban settings where dengue epidemics are driven by human mobility.

Unveiling driving disparities between satisfaction and equity of ecosystem services in urbanized areas

Rapid urbanization intensifies the challenges of achieving satisfaction and equity in ecosystem services (ESs). Beginning with a theoretical overview, we identify five pivotal challenges in managing urban ESs, forming the basis for our integrative analysis. Employing a multi-level analytical perspective, our research quantifies ESs satisfaction through supply–demand ratios and evaluates ESs equity via supply–demand Gini coefficient. Simultaneously explored the driving force relationship between these two dimensions. This study uses Guangdong Province, a typical urbanized area in China, as a case study to assess the supply and demand relationships of four regulating ESs: water retention, soil retention, carbon storage, and water purification. Our results highlight the disparity in ESs management effectiveness across different scales while the overall assessments might suggest adequate or equitable ESs, localized assessments within cities and regions often uncover specific ESs issues. A pivotal aspect is that single-factor critical to ESs satisfaction or equity dimension may have limited or opposing importance in another, but interactive effects of multiple factors can effectively mitigate these divergent impacts through non-linear synergies. These insights not only reveal the multiplex impacts of natural–social–economic drivers on urban expansion but also guide the targeted development in different management scale, multi-dimensional management strategies to address these disparities. This approach enriches the discourse on sustainable urban development and provides a robust framework for addressing the nuanced challenges of urban ESs management.

THE ROLE OF INTERACTIVITY IN VISUAL COMMUNICATION DESIGN

The primary purpose of this paper is to explore the role and impact of interactivity in visual communication design. This study aims to understand how interactive elements enhance the effectiveness of visual communication, improve user engagement, and contribute to the evolution of design practices. The paper seeks to analyze the advantages and challenges associated with interactive design and propose future directions for integrating interactivity into visual communication. This study employs a mixed-methods approach, combining a literature review, qualitative interviews with design professionals, and quantitative surveys to analyze the impact and effectiveness of interactivity in visual communication design. The study found that interactive design elements significantly enhance user engagement by providing a more immersive and participatory experience. Users exhibited better retention and comprehension of information presented through interactive visuals compared to static designs, and survey results indicated a strong preference for interactive elements, with higher satisfaction and enjoyment reported. However, the research also identified challenges such as technical difficulties, increased development costs, and the need for specialized skills in implementing interactive designs.

Comparative analysis of communication strategies impact on the effectiveness of interaction with an AI chatbot

Introduction. The integration of artificial intelligence (AI) into everyday human interactions, particularly through chatbots, has significantly increased in recent years. AI-based chatbots successfully mimic human conversations by understanding user requests and responding appropriately. Improving the effectiveness of educational and professional activities related to text processing in these conditions seems extremely relevant and predetermines the goal of our study: comparing the effectiveness of interaction with ChatGPT when formulating queries in various communication strategies. Procedure and methods. The study on the effectiveness of interacting with ChatGPT was conducted using a natural experiment scheme with preliminary training. The subjects of the study were 34 employees (15 men, 19 women, aged 25-36; M = 31.6; SD = 1.8) from the marketing department of the company "Technologies of Trust". These employees performed rewriting tasks by interacting with ChatGPT within the framework of specially adapted communication strategies (persuasive and cooperative) and evaluated the chatbot's usability and the quality of the text generated by ChatGPT. The Wilcoxon signed-rank test for dependent samples was used to identify the effects of communication strategies on interaction efficiency, and exploratory factor analysis with subsequent varimax rotation was employed to identify latent variables of interaction under different communication strategies. Research Results. Comparison of the results of the ChatGPT interaction performance evaluation when using 2 strategies (cooperative and persuasive) showed that for all 11 usability indicators, there is a significant advantage of the cooperative communicative strategy at the significance level of p&lt;0.05. However, on 6 indicators of text quality obtained through rewriting, the persuasive strategy shows advantages and on 4 of them at a significance level of p&lt;0.05. In the course of the study it was found that the factor solutions for the studied communicative strategies differ significantly: the key factor in using the persuasive strategy is speed and accuracy in achieving goals, while in the cooperative strategy the adequate response of chatbots to objections is critical. Conclusion. The results obtained in the study contribute significantly to the understanding of communication with AI chatbots, highlighting the nuances of interacting through linguistic means typical for human communication. The findings demonstrate the complexity of choosing the optimal strategy for interacting with ChatGPT and uncover the factors that determine the features of subjective evaluation of the interaction.