Individual Performance Research Articles

The Emotional Intelligence of Civil Engineers in Spain and its Relation with Professional Satisfaction

Different studies show the relevance of Emotional Intelligence (EI) to the development of the work conducted by civil engineers in terms of their satisfaction and well-being, and also their individual and collective performance regarding good organisational results (Larson et al., 2015; Rezvani et al., 2018; Zhang et al., 2020). The purpose of this present work is to analyse the relation between the emotional intelligence of civil engineers in Spain and their degree of professional satisfaction, as well as to determine the existence of any differences in the variables studied according to their gender and years of experience. The focus of the methodology is both quantitative and exploratory, together with descriptive and correlational analyses involving a survey conducted with 248 Civil Engineers. The main results show that a positive and significant relation exists between the emotional intelligence of those participating in the survey and their degree of professional satisfaction, and furthermore that significant differences exist in this level of satisfaction in terms of their years of experience. These results endorse the relevance that the EI competencies have for the development of Civil Engineering, both for those who practice this profession and for the organisations where they work, as well as the impact this work may have on the social systems involved.

Choking under pressure in online and live esports competitions

This paper explores the phenomenon of choking under pressure within the context of esports, particularly focusing on the difference between online and live competitive settings and on high-pressure situations during overtime rounds. Employing a quasi-experimental design, the research leverages an extensive dataset covering professional CS:GO matches from 2012 to 2022 (match-level) and from 2015 to 2023 (round-level), including performance metrics such as players' ratings, headshot percentages, and teammate damage. The findings indicate a substantial decrease in the performance of esports players during overtime. This effect, however, is significantly mitigated in online competitions compared to live events. The study also reveals that while individual performance suffers under pressure, the impact on team coordination is less pronounced in online settings, suggesting that the virtual environment might offer a buffer against the negative effects of stress on team dynamics. This study enriches our understanding of performance psychology in digital settings but also opens up new avenues for research on stress, teamwork, and performance in professional and virtual environments.

Safety and efficacy of electro-thumbtack needle for acute mountain sickness patients: a protocol of a randomized, single-blinded, and placebo-controlled study

BackgroundAcute mountain sickness (AMS) is considered the most common altitude sickness. It can be detrimental to the health of tourists who rapidly ascend high mountains, and can also impair the performance of individuals who move to the plateau for work or education. Acupuncture has been shown to improve AMS as a simple, safe, and effective nonpharmacological method, in case electro-thumbtack needle (ETN) is a more convenient form of acupuncture for both doctor and patient. There are no studies validating the effectiveness of electro-thumbtack needle in improving symptoms in participants with AMS. In this study, we will conduct a randomized controlled trial to evaluate the clinical efficacy and safety of electro-thumbtack needle in participants with AMS. Our hypothesis is that electro-thumbtack needle is safe and effective in treating participants with AMS.MethodsThis study is a single-center, randomized, single-blinded, and placebo-controlled study involving at least 114 participants who were diagnosed with AMS. The participants randomly assigned in a 1:1 ratio to the electro-thumbtack needle group and the sham acupuncture group. The treatment protocol involved stimulation of seven predefined acupuncture points, including Zhong Wan (RN12), bilateral Nei Guan (PC6), bilateral He Gu (LI4), and bilateral Tai Yang (EX-HN5), for approximately one minute each, with continuous application over 48 h. The primary outcome was improvement in 2018 Lake Louise score (LLS) after 48 h of treatment. Secondary outcome indicators included the incidence of participants with moderate-to-severe AMS (AMS > 5)and AMS, the LLS, visual analogue scale of headache, clinical functioning scores, the Groningen Sleep Quality Survey, the Stanford Somnolence Scale, blood pressure, oxygen saturation, and heart rate, in addition to treatment-related adverse events were also captured.DiscussionThis trial aims to ascertain the therapeutic benefits of ETN in mitigating AMS symptoms, thereby contributing to the evidence base for traditional medical practices, particularly acupuncture, in high-altitude medicine.Trial registrationChinese Clinical Trials Registry: ChiCTR2300073882. Registered on 24 July 2023.

Examining football players' perceived social support across organizational levels and its links to holistic talent development outcomes in German youth academies

Sport research highlights the significance of supportive relationships and a psychologically safe environment for promoting desirable talent development outcomes associated with young athletes' performance, wellbeing, and personal development. Against this background, this study aimed to investigate youth football players' perceived availability of different kinds of social support from various stakeholders along the talent pathway in German elite youth academies (1). It further sought to examine the link of such social support perceptions to wellbeing, sport commitment and individual performance satisfaction as relevant development outcomes (2). Finally, the study examined potential mechanism underlying these associations by considering psychological safety as a potential mediator (3). For this purpose, N = 271 youth academy players participating in teams of under-13s, under-15s, and under-17/19s age groups completed a multi-section online survey including the PASS-Q, PsySafety-Check, and WHO-5 as well as subscales of the ASQ (i.e., individual performance satisfaction) and YSCS (i.e., sport commitment). Multivariate analyses indicated significant differences in players' perceptions of social support depending on its kind and provider as well as on players' age group. Further, path models highlighted the importance of emotional and esteem support provided by coaches and management for players' talent development outcomes. However, psychological safety seemed to only play a minor role within those associations, partially mediating the effects of emotional support. Overall, these findings encourage a critical reflection of youth players' social support needs and opportunities to optimally address those within elite youth academies as prominent talent development environments in football.

How relational and collective identification shape the relationship between individual ambidexterity and job performance

AsbtractIn the contemporary business landscape, employees are increasingly expected to demonstrate a wide range of competencies, which require a combination of exploration‐based and exploitation‐based individual abilities. In this vein, the present study investigates how individual ambidextrous abilities affect job performance. Furthermore, by bridging the gap between individual ambidexterity literature and dynamic self‐concept theory, we argue that identification with both peers and leaders plays a contingency role, thus moderating the relationship between individual ambidexterity and job performance. To test our hypotheses, we conducted a multi‐source field study of 380 employees operating in manufacturing firms. The collected data combines objective measures of individual ambidextrous abilities, supervisory‐rated job performance, and identification measures. Our hypotheses received empirical support. Overall, this study provides practical guidance for organizations by highlighting the importance of fostering individual ambidexterity to maintain high job performance through effective cooperation with both peers and leaders at work.

A-240 Validation of the OSOM Flu SARS-CoV-2 Combo Home Test

Abstract Background COVID-19 and Influenza respiratory infections often cause similar symptoms, however, treatment is different for each infection. Delay in diagnosis can be fatal in some cases, therefore rapid detection and differentiation are critical for appropriate medical treatment. The OSOM Flu SARS-CoV-2 Combo Home Test is a lateral flow immunoassay intended for the qualitative and differential detection of nucleocapsid protein from SARS-CoV-2 and influenza A/B proteins using self-collected anterior nasal swab samples (self-collection is only recommended for those 14 years of age and older). An interpretation card, included with the test, is used to reliably distinguish among possible testing results. Methods A prospective study was conducted at multiple geographically distinct sites in the U.S during the 2023-2024 season for the validation of the OSOM Flu SARS-CoV-2 Combo Home Test to detect SARS-CoV-2/Flu A/Flu B in self-collected anterior nasal swab samples. The study evaluated the performance in symptomatic individuals only. A total of 703 prospective samples were evaluable for SARS. For Flu A/B, four additional subject samples were unevaluable due to comparator results not being available and a total of 699 samples were included in the data analysis. The comparator tests were FDA 510(k)-cleared molecular assays. Results Influenza A was detected with a sensitivity of 93.1% (95% CI: 84.8%-97.0%) and a specificity of 99.5% (95% CI: 98.6% - 99.8%). Influenza B was detected with a sensitivity of 89.1% (95% CI: 77.0% - 95.3%) and a specificity of 99.7% (95% CI: 98.9% - 99.9%). SARS CoV-2 was detected with a sensitivity of 87.0% (95% CI 78.6% - 92.4%) and a specificity of 99.1% (95% CI: 97.9% - 99.6%) when Ct values are standardized and 10% of samples are considered low positives, having a Ct value of ≥ 30. Conclusions With respiratory infections often showing indistinguishable symptoms and the possibility of co infection, lowering the testing hurdles for individuals to be able to perform a rapid differential test at home without the aid from a healthcare worker is the most effective way to mitigate spread and patient management from a public health perspective. Comparing the OSOM Flu SARS-CoV-2 Combo Home test to the FDA cleared comparators in a clinical setting, the OSOM Flu SARS-CoV-2 Combo Home test retains acceptable sensitivity and specificity. Using self-collected anterior nasal swabs which are minimally invasive alongside the low cost of a lateral flow immunochromatographic assay remains the most effective way to perform the serial screening testing recommended by the CDC in situations where transmission and severe outcome risk is high.

Development of scale and model for evaluating the individual performance appraisals—Process in public management

The need for strategic alignment within HR management increased managers’ concern about individual behavior and how this behavior was related to the achievement of goals. In public management, effectively managing employees’ performance has been necessary since Weber’s bureaucratic administration. The individual performance appraisal is the right tool to assess employees’ competencies. Thus, we proposed the following research question: Which factors, as pointed out by theory, have the most significant influence on the individual performance appraisal process? The quantitative method was applied to answer this question, developing and testing a scale via EFA and a hypothetical model via SEM-CB. The results indicated a scale with 25 items able to access the main points of the IPA process and a hypothetical model with 7 constructs that indicate the influence on employee engagement. The main finding is the significant influence of feedback on the whole process. The main theoretical contribution was the construction of the MIPAS scale, and the practical contribution was to identify the points where managers should focus on improving the IPA process with their subordinates.

The Effect Of Leader Member Exchange On Individual Performance Of Logistics Employees And The Mediating Role Of Career Satisfaction

Employees’ individual performance is influenced by many factors, and empirical studies in various cultures and sectors are conducted on this subject. There is a need for empirical research to identify the predictive factors of individual performance in different cultures and sectors. In this study, the factors affecting employees’ individual performance were examined based on Social Exchange Theory. In this context, the purpose of the study is to reveal the effect of logistics sector employees’ perceptions of leader-member exchange on performance outcomes and to examine the mediating effect of career satisfaction on this relationship. Quantitative research methods have been used in the study. It was conducted through a survey on a sample of logistics sector employees (n= 409) operating in Türkiye. In the study, it was determined that employees with high leader-member exchange have high career satisfaction and individual performance, and career satisfaction has a partial mediating effect on the effect of LMX on individual performance. Accordingly, the effects of LMX on individual performance can be enhanced mainly by improving career satisfaction. Since career satisfaction ensures that employees are satisfied not only with their jobs but also with their career development, the positive impact of this satisfaction on individual performance is significant. Therefore, it is critical for the success of the organization that logistics firm managers give importance to the career development of their employees and be supportive in this regard. Limitations, future research directions and theoretical and practical implications are discussed at the end of the study.

Health literacy after traumatic brain injury: characterisation and control comparison.

Background Little is known about health literacy in traumatic brain injury (TBI) survivors. The aims of this study were to compare health literacy in individuals with TBI with that of a control group; to examine the association between health literacy in individuals with TBI and demographic, injury, and cognitive factors; and compare the relationship between health literacy and physical and mental health outcomes. Methods A cross-sectional observational study design was used. Adults (≥18years) were recruited from an outpatient research centre in Victoria, Australia. There were 209 participants with a complicated mild to severe TBI at least 1year previously (up to 30years 6months) and 206 control participants. Results Individuals with TBI did not have poorer health literacy than controls (IRR=1.31, P =0.102, CI95% [0.947, 1.812]). Further analysis could not be completed due to the highly skewed Health Literacy Assessment Using Talking Touchscreen Technology - Short Form (Health LiTT-SF) data. Conclusion Health literacy performance in individuals with TBI was not significantly different to controls. Premorbid education may provide a critical cognitive reserve upon which TBI survivors can draw to aid their health literacy. These findings are specific to the Health LiTT-SF measure only and require replication using more comprehensive health literacy measures in culturally diverse samples.

Exercise as a promoter of neurocognitive improvement in people with psychiatric disorders and comorbid obesity: a randomized controlled trial

IntroductionThe psychiatric disorders and obesity comorbidity is related to neurocognitive impairment and inflammation. Exercise is crucial to improve and maintain healthy lifestyles. This randomized controlled trial tested the efficacy of aerobic exercise as promoter of neurocognitive improvement across psychiatric disorders with comorbid obesity (OB). MethodsPatients with major depressive disorder, bipolar disorder and, schizophrenia and with comorbid OB (n=29) received brief healthy lifestyle counseling and were randomized into two groups: guided physical activity group (GPAG) (n=10) which included 12 weeks of guided-exercise of moderate intensity and frequency, and incentive of autonomous physical activity proposals by the specialist. Standard physical activity group (SPAG) (n=19) continue with their usual daily physical activity, without guidance or incentives, over 12 weeks. Peripheral blood biomarkers of inflammation, oxidative stress, vascular mechanisms, and metabolic activity, as well as neurocognitive and functional performance were assessed twice, before and after intervention. Mixed one-way analysis of variance and linear regression analyses were performed. ResultsIndividuals in GPAG showed better neurocognitive and functional performance than individuals in SPAG after physical activity training (p<0.05; η²p=0.14 to 0.15). A significant improvement in cognition before and after the physical activity training in the GPAG group was found (p<0.0001; η²p=0.29). In all cases, the effect size was from moderate to large. Inflammatory activity (interleukin [IL-6]), oxidative (mitochondrial reactive oxygen species [mROS] and mitochondrial membrane potential [ΔΨm]) and inter cellular adhesion molecule 1 [ICAM1], leukocyte-endothelium adhesion [LEPMN], and p-selectin [PSEL]) levels, and cardio-metabolic (low-density lipoprotein [LDL], systolic blood pressure [SBP], and insulin) processes were significant predicting neurocognitive improve of individuals with psychiatric disorders and comorbid OB. ConclusionsPhysical activity programs may have positive impact on neurocognitive and functional performance in individuals with psychiatric disorders and OB. Exercise influences inflammatory, oxidative, vascular, and cardio-metabolic pathways, and modulate cognition. These findings may have a potential translational utility for early intervention in these disorders.

Individual preferences in multiple goal pursuit: Reconsidering the conceptualization and dimensionality of polychronicity

AbstractWith increasing demands in work and life, successful self‐regulation of multiple goals becomes critical to the well‐being and performance of individuals and organizations. When pursuing multiple goals, individuals may use different strategies and have divergent preferences toward these strategies. Polychronicity, or the preference for multitasking over sequential tasking, has long been considered a unidimensional construct with two opposing ends. To empirically test this assumption, we reconstructed existing polychronicity items to explore a new scale that measures preferences separately and synthesizes different operationalizations of multitasking (i.e., concurrent tasking and task switching) (study 1). We found that multitasking and sequential preferences, while related, have distinct components and can co‐occur within individuals, challenging the traditional bipolar assumption (study 2). Finally, we used a behavioral task‐switching paradigm to simulate a multitasking environment. We found that consistent with past research, the preferences were not associated with behavioral performance but were associated with subjective experience (study 3). Our findings suggest that assuming multitasking and sequential preferences are completely antithetical can be an oversimplification. This research opens opportunities for future research on multiple goals.

Effect Of Dual Task Walking Activities Involving Smartphone Tasks On Walking Performance In Healthy Individuals

Effect Of Dual Task Walking Activities Involving Smartphone Tasks On Walking Performance In Healthy Individuals

Conceptualizing the Antecedents and Individual Impact of Business Intelligence in the Public Sector: The Technology-Organisation-Authoritative Framework

Business intelligence (BI) refers to a technological tool and process that transforms large and fragmented data into well-informed graphical insights to aid managerial decision-making. Recognizing the significant benefits of BI in leveraging extensive amounts of data, governments have been progressively investing in BI tools to improve efficiency in public offices. Nevertheless, despite a significant body of knowledge related to BI adoptions and their advantages, there is a dearth of theoretical understanding of how the effective use of the system affects employees' work performance, particularly among civil servants who have distinctive work natures compared to businesses. Most studies have also ignored external and institutional factors that influence individual usage, whilst studies on the effective use of BI tools remain limited. The paper thus proposed a new conceptual framework for examining the factors that influence the effective use of BI and its impact on individual job performance. The suggested propositions could provide a theoretical contribution by integrating technological, organizational and authoritative dimensions that are novel and unique to the public sector. It would also contribute to practical understandings for public managers and policymakers in ensuring the investment made on BI is worthwhile. Ultimately, the paper seeks to bridge the gap in BI studies related to public organizations.

Research on Knowledge Discovery and Sharing in AIGC Virtual Teaching and Research Room Empowered by Big Data Analysis and Natural Language Processing Algorithms

This paper introduces a pioneering framework named Deep Reinforcement Learning based AI-Generated Content for Virtual Teaching (DRL-AIGC-VR), which aims to transform the landscape of online education and research. At the heart of this system is the integration of Deep Reinforcement Learning (DRL) and Natural Language Processing (NLP), making it exceptionally suited for the dynamic and evolving environment of virtual teaching and research rooms. The uniqueness of DRLAIGC-VR lies in its adaptive content curation and presentation capabilities, achieved through a combination of Deep Q-Networks (DQN) with attention mechanisms. This innovative approach allows the system to personalize learning experiences by tailoring them to individual student performance and engagement levels. Simultaneously, it focuses on presenting the most pertinent information, thereby streamlining and optimizing the learning process. One of the most significant features of this system is its ability to handle and analyze large-scale educational data, a vital aspect in today’s big data-driven world. This capability ensures that DRL-AIGCVR offers a highly interactive, responsive, and efficient learning environment, addressing the varied requirements of students and researchers. The implementation of DRL-AIGC-VR in virtual educational settings has shown remarkable improvements in several key areas, including learning outcomes, student engagement, and knowledge retention. These enhancements are indicative of the substantial progress that the framework brings to the domain of virtual education, positioning it as a leading solution in the realm of AI-driven learning platforms. Overall, DRL-AIGC-VR represents a significant step forward in harnessing the power of AI to enrich and elevate the educational experience in virtual settings, paving the way for more advanced, personalized, and effective online learning and research methodologies.

A transient high-dimensional geometry affords stable conjunctive subspaces for efficient action selection

Flexible action selection requires cognitive control mechanisms capable of mapping the same inputs to different output actions depending on the context. From a neural state-space perspective, this requires a control representation that separates similar input neural states by context. Additionally, for action selection to be robust and time-invariant, information must be stable in time, enabling efficient readout. Here, using EEG decoding methods, we investigate how the geometry and dynamics of control representations constrain flexible action selection in the human brain. Participants performed a context-dependent action selection task. A forced response procedure probed action selection different states in neural trajectories. The result shows that before successful responses, there is a transient expansion of representational dimensionality that separated conjunctive subspaces. Further, the dynamics stabilizes in the same time window, with entry into this stable, high-dimensional state predictive of individual trial performance. These results establish the neural geometry and dynamics the human brain needs for flexible control over behavior.

Teachers' professional journey: Charting achievement recognition, career adaptability, and task performance

The rapid technological advancement in higher education necessitates understanding the factors influencing university teachers' professional growth and task performance. This study investigates the relationships among Achievement Recognition, Career Adaptability, and Organizational Seniority, focusing on their impact on the task performance of Chinese university teachers. A longitudinal, time-lagged survey design was employed, collecting data from 1444 Chinese university teachers over three waves, each one month apart. The survey included Achievement Recognition, Career Adaptability, and Task Performance measures, with Organizational Seniority as a moderating variable. Achievement Recognition significantly predicted Career Adaptability. The interaction between career adaptability and organizational seniority was significant, indicating that the positive effect of career adaptability on task performance varied with levels of organizational seniority. Conditional Effects were substantial. Career Adaptability positively affected Work Performance for individuals with less than five years of seniority but had a weaker effect for those with 11–15 years and an adverse effect for those with >21 years of seniority. The indirect impact of Achievement Recognition on Work Performance through Career Adaptability was significant for newly employed workers but non-significant for experienced workers. The study underscores the importance of Achievement Recognition in enhancing Career Adaptability and, subsequently, Work Performance. The moderating role of Organizational Seniority suggests that interventions to boost Career Adaptability and Work Performance should be tailored to different career stages. Academic institutions should implement recognition programs, adaptability training, and mentorship schemes that consider faculty members' career stages to foster a high-performing, adaptable workforce.

Genomic prediction and validation strategies for reproductive traits in Holstein cattle across different Chinese regions and climatic conditions

Accurate genomic predictions of breeding values for traits included in the selection indexes are paramount for optimizing genetic progress in populations under selection. The size of the reference populations is a major factor influencing the accuracy of genomic predictions, which is even more important for lowly-heritable traits such as fertility and reproduction indicators. Combining data from different geographical regions or countries can be beneficial for genomic prediction of these lowly heritable traits. Therefore, the objectives of this study were to: 1) evaluate the benefits of performing across-regional genomic evaluations for reproduction traits in Chinese Holstein cattle; and, 2) assess the feasibility of validating genomic predictions across environments based on reaction norm models (RNM) and the Linear Regression (LR) method after accounting for genotype-by-environment interactions. Phenotypic records from 194,574 cows collected across 47 farms located in 2 regions of China were used for this study. The reference and validation populations were defined based on birth year for applying the LR validation method. The traits evaluated included: interval from first to last insemination (IFL), conception rate at the first insemination (CR_f), and number of inseminations (NS) recorded in heifers and first-parity cows. The results indicated that combining data from different regions resulted in greater genomic prediction accuracies compared with using data from single regions, with increases ranging from 2.74% to 93.81%. This improvement was particularly notable for the region with the least amount of available data, where the increases ranged from 26.49% to 93.81%. Furthermore, the predictive abilities could be validated for all studied traits based on the LR method across different environments when fitting RNM. The prediction accuracies and bias of genomic breeding values based on RNM were better than regular single-trait animal models in extreme climatic conditions for IFL and NS, whereas limited increases in predictive abilities were observed for CR_f. Across-regional genomic prediction by RNM can account for genotype-by-environment interactions, potentially increase the accuracy of genomic prediction, and predict the performances of individuals in the environments with limited phenotypic data available.

Bayesian enhanced EWMA scheme for shape parameter surveillance in Inverse Gaussian models

Bayesian control charts (BCC) are increasingly recognized as highly effective statistical schemes to investigate manufacturing processes and effectively control process variability. This technique is mainly adept at handling uncertain parameters in the manufacturing sector. This study sets the surveillance threshold for the Inverse Gaussian Distribution (IGD) shape parameter. It develops several non-informative exponentially-weighted moving averages (EWMA) control charts (CCs) using different loss functions (LFs). The proposal and existing charts are assessed using different individual performance measures. The non-informative Bayesian (NIB) charts developed in this study are evaluated across various sample sizes. The simulation study determines that the proposed non-informative Bayesian EWMA CCs are more effective than conventional classical EWMA charts. These proposed EWMA chart techniques excel in identifying faults in the shape parameter and perform better than their classical counterpart in swiftly identifying shifts. Additionally, the procedure is applied to real data from the manufacturing industry, and the results validate the conclusions drawn from the simulation outcomes.

Non-senescent species are not immortal: Stress and decline in two planaria species.

Potential immortality is observed in several species (e.g. prickly pear cactus, hydra and flatworms) and is indicative of their negligible or even negative senescence rates. Unlike in senescent species, which experience reduced individual performance with age due to physiological degradation, species with negligible or negative senescence display mortality rates that remain constant or decline with age, respectively. These rates vary across taxa and are correlated with life history traits. Yet, the extent to which variable resource availability, a key driver of variation in life history traits, impacts species that show negligible or negative senescence is currently unknown. Here, we examine whether and how variation in the quantity, quality and feeding interval of resources impact population structure, population performance and life history trait trade-offs in two long-lived planaria that do not senesce: Schmidtea mediterranea and Dugesia tahitiensis. In a full factorial design, different combinations of resource quantity (reduced intake, standard intake and high intake) and quality (high and low quality) were provided in two different feeding intervals (7-day and 14-day intervals) for 19 weeks. We show that variability in resource availability, via decreases in quantity, quality and frequency of resources, does not diminish population viability in either species but does result in suboptimal conditions of stress in S. mediterranea. The high population viability we report can be attributed to two different mechanisms: increased reproduction or increased investment into maintenance at the expense of reproduction. Moreover, which mechanism was responsible for said high population viability was context-dependent and modulated by the specific life history strategy of the two planaria species. We show that suboptimal conditions can cause stress responses that have significant impacts on non-senescent species. The context-dependent response we observe suggests that species that do not senesce but are subject to suboptimal conditions of stress may ultimately exhibit declines in performance and ultimately die. A clearer understanding of the impact of suboptimal conditions of resource availability on non-senescent species is needed to determine the extent of stress experienced and ultimately whether a species can truly be immortal.

Distortion errors characterise visuo-constructive performance in Huntington’s disease

Objective: Visuospatial deficits have been extensively studied in Huntington’s disease (HD), particularly in relation to visuomotor integration, with less emphasis on visuo-constructive abilities. Quantitative analyses have demonstrated that individuals with HD perform worse than healthy controls (HC) but similarly to people with Alzheimer’s disease (AD). The aim of the present study was to conduct a qualitative investigation of visuo-constructive abilities in both HD and AD. By employing both simple and complex tasks, we hypothesized that a qualitative analysis of performance would reveal a distinct pattern of errors specific to HD. Methods: Participants for this study were identified retrospectively. The sample included 41 individuals with HD, 25 with AD, and 35 HC. All participants underwent a neuropsychological battery, which included the Constructional Apraxia Test (CAT) and the Rey-Osterrieth Complex Figure (ROCF) test. Results: Our results showed no significant quantitative difference in visuo-constructive performance between the two patient groups. However, distinct qualitative patterns of drawing errors emerged. Simplifications were more frequent in the AD group, while distortions were distinctive errors in the HD group. These qualitative error patterns were consistent across both the CAT and ROCF. Conclusion: Our study emphasises the value of qualitative analysis in interpreting visuo-constructive performance, shifting the focus from “how much” a participant achieves to “how” they perform a neuropsychological task. This qualitative approach is useful to capture the complexity and variability of individual performance, providing deeper insight into the cognitive processes affected by different neurological conditions.