Construction Tasks Research Articles

A structured investigation on the site supervisory traits in applying science and technology related fundamental concepts in construction operations

Purpose Productivity increase is correlated with profitability, sustainability and competitiveness of the construction firms. Recent studies reveal that the primary causes of productivity decline are poor usage of scientific and technological advances, ineffective supervision strategies and poor apprenticeship facilities/opportunities. Accordingly, the purpose of this study was to evaluate how well construction supervisors can utilise fundamental science and technological concepts/ideas to increase the efficiency and productivity of construction activities. Design/methodology/approach A new strategic layout was designed with the use of potential training guide tools. Based on the designed layout, a new supervisory training programme was developed, and 62 construction supervisors were selected, trained and evaluated in line with six parts of competencies and the relevant learning domains. An assessment guide with different levels of descriptions and criteria was developed through literature analysis and expert interviews. The research tools were verified using comprehensive approaches. Findings The overall mean values of supervisors’ performance scores indicate proficient-level grades in the competency characteristics related to taking measurements, generating drawings/designs using manual techniques and computer-aided tools, involving Bill of Quantities (BOQ) preparations and preparing training plans/materials for improving the competencies of labourers on estimation, measurements and understanding drawings. Their proficiency was notably lower in the use of information and communication technology application tools in construction tasks compared to others. The findings point to a modern generalised guideline that establishes the ranges of supervisory attributes associated with science and technology-related applications. Research limitations/implications The study outcomes produce conceptualised projections to restructure and revalue the job functions of various working categories by adding new definitions within the specified scope. This may result in constructive benefits to upgrading the current functions associated with urbanisation, sustainability and society. The implementation of the study’s findings/conclusions will have a significant impact on present and future practices in other developing nations and developing industries, even if they are directly applicable to the Sri Lankan construction industry. Originality/value Up to certain limits/stages, the study fills not only the knowledge gap in the field of creating protocols and application techniques connected to lifelong learning and skill enhancement/upgrading but also the existing gaps in work attributes and roles of construction supervisors associated with the utilisation of fundamental science and technological concepts/ideas towards reinforcing sustainable and productive site operations.

Race, Ethnicity and Nationality in Sociology

Abstract It aims to understand what makes people similar to others, different from some, and unique to themselves. However, there is room for research in personality to more thoughtfully consider culture, race, and ethnicity in order to better understand individual differences in people’s patterns of thinking, feeling, and behaving. High impact personality journals rarely include such factors into the interpretation of results, and cross-cultural and ethnic minority publications are limited within the discipline. non-exhaustive overview of how culture, race, and ethnicity are examined in relation to personality, showing that: (1) social structures continue to be neglected in the research, (2) we can learn from research being conducted in neighboring areas, and (3) valuable work is already being done within personality psychology. We offer recommendations that emphasize community based participatory research methods, combined etic-emic approaches, and contextualizing research findings to improve the consideration of culture, race, and ethnicity in personality research. It is argued that the connection between race and ethnic categories is more fundamental, and yet the connection between fighting racism and ethnic pluralism is more problematic than this position implies. Ethnicity and racism are different but connected discourses for articulating collectivity and belongingness, and serve diverse political projects which include those of class and nation building. Their understanding as concrete social relations however, requires attending to gender and class processes and the state., and national identities are salient uniting but also stratifying forces in people’s lives and across societies. and attitudes toward immigration and political trust among different racial and ethnic groups. how and why social inequalities are structured and sustained between different groups in education, work, health, and resource distribution, among other realms of life. as well as Reflecting on the idea of “Race” and the normative significance of race relations is an essential part of the enterprise of political philosophy. The principal goal is to think systematically about whether, and if so how, race should figure in our evaluation of institutional arrangements and power relations, in our treatment of each other within civil society, and in our self-conceptions and group affiliations. This article discusses the idea of race, racism, racial discrimination and social justice, responding to racial injustice, and racial identity and community. The Institute of Development Studies (IDS) has also made important contributions to this literature and its application to development studies. First, theoretical effort is required to unpack how ethnicity intersects with other forms of identity. Second, as demonstrated by IDS' contributions, further research is required on the impacts of ethnicity upon development and vice versa. the argument that philosophy is limited and cannot carry out a constructive task that goes beyond that of other disciplines of learning; and whether a metaphysics of race and ethnicity in particular is a descriptive or prescriptive enterprise. Finally, he considers an effective set of conditions for race, ethnicity, and nationality.

Architectural technology and labour organisation at the late Neolithic Liangzhu City, Yangtze Delta region, China

Building the UNESCO World Cultural Heritage site of Liangzhu City and its hinterlands was an enormous undertaking that required an unprecedented level of architectural innovations, clever logistic planning, and sophisticated labour organisation. We draw on environmental, archaeological and experimental data on the preparation and construction of grass-wrapped clay blocks at the Liangzhu City and investigate the importance of technological innovations to understand architectural energetics and labour organisation behind the unprecedented urbanisation at Liangzhu and beyond in prehistoric Yangtze Delta region. We estimate that each clay block took only around 5 min to prepare by 2–4 workers. Considering digging and other tasks, a small group of 3–4 workers would have been the most efficient arrangement in the preparation of grass-wrapped clay blocks. We reproduced different types of clay blocks, classified their sizes, and identified the standard sized (45x15 × 15cm) clay blocks that match with archaeological finds. Our results also show that standard-sized clay blocks had a more optimal grass-earth ratio which increased the drainage efficiency of the built clay-blocked structures and their resistance to weathering in wet conditions. The different architectural technologies applied by the Liangzhu builders constituted the Liangzhu builders’ earth-building toolkit. To maximize the efficiency, labour was divided and organised according to different construction tasks. The clay-blocked structures and stone beddings were mostly built by smaller groups, who were responsible for the preparation, transportation and construction tasks. Mobilization and division of labour during these construction activities might not follow the classical top-down process. Instead, the need to apply different architectural technologies, each restrained by availability of resources, convenience of transportation, and/or intrinsic engineering properties, at construction sites in a predominantly aquatic environment, prompted a creative form of labour organisation. Our study therefore provides fresh insights into understanding labour organisation, social structure and power relations at the Liangzhu Civilisation.

A Parallel Model for Jointly Extracting Entities and Relations

Extracting relational triples from a piece of text is an essential task in knowledge graph construction. However, most existing methods either identify entities before predicting their relations, or detect relations before recognizing associated entities. This order may lead to error accumulation because once there is an error in the initial step, it will accumulate to subsequent steps. To solve this problem, we propose a parallel model for jointly extracting entities and relations, called PRE-Span, which consists of two mutually independent submodules. Specifically, candidate entities and relations are first generated by enumerating token sequences in sentences. Then, two independent submodules (Entity Extraction Module and Relation Detection Module) are designed to predict entities and relations. Finally, the predicted results of the two submodules are analyzed to select entities and relations, which are jointly decoded to obtain relational triples. The advantage of this method is that all triples can be extracted in just one step. Extensive experiments on the WebNLG*, NYT*, NYT and WebNLG datasets show that our model outperforms other baselines at 94.4%, 88.3%, 86.5% and 83.0%, respectively.

Embodied AI for dexterity-capable construction Robots: DEXBOT framework

The construction industry is integrating robots into critical tasks at an accelerated pace, with the aim of enhancing efficiency, safety, and productivity. However, construction tasks requiring dexterity remain a challenge due to the need for precise movements, accurate perception, real-time decision-making, and a comprehensive understanding of the environment. To address these challenges, the introduction of embodied artificial intelligence (AI) represents a significant shift in robotic capabilities to enhance their alignment with the broader spectrum of construction settings. Rooted in cognitive science, embodied AI emphasizes the integration of an agent’s physical form into its computational intelligence processes. It resembles how humans develop motor skills by interacting with physical world. This paper introduces DEXBOT, an exploratory framework for designing construction robots capable of high dexterity using embodied AI principles that mimics human strategies in complex tasks. The framework outlines six key perspectives for solving high-dexterity tasks with embodied AI: scene understanding, localization and motion planning, position-based control, force-based control, sequence planning, and correction decision-making. By presenting preliminary test cases for each perspective, the paper emphasizes the role of embodied AI in advancing dexterity level of construction robots. The DEXBOT framework is expected to encourage interdisciplinary collaboration of designing capable construction robots in the future.

From HR Practices to HR Performance: A Psychological Ownership Meta-Analysis Across Cultures

This study utilizes psychological ownership theory as theoretical framework to examine high-performance work practices, and attitudinal and behavioral performance as associations of psychological ownership on the population level. Psychological ownership describes a mindset which allows individuals to experience ownership feelings for a target (e.g., organization) regardless of legal ownership rights. Further, psychological ownership theory is integrated with and extended by contingency theory to analyze the moderation effects of societal culture. These effects have been assumed for over 30 years but hardly backed by empirical evidence from cross-cultural samples. Thus, this study analyzes data from 351,919 individuals who participated in 139 published and unpublished studies, using rigorous and advanced meta-analytic techniques. The results show that compensation and benefits, job and work design, and communication practices foster psychological ownership, which in turn enhances constructive deviant behavior, task performance, and favorable attitude while weakening unfavorable attitude. Societal culture significantly strengthens these relationships.

A Review Paper on Paint Spraying Robot

Abstract: Painting interior walls is a frequent construction task that takes a lot of time and work. Robotic painting was introduced to replace human manual activity, improving accuracy, efficiency, and lowering costs. In this study, We present an independent robot that paints walls. robot that uses a cascade lift mechanism to enable it to use a paint sprayer to paint a room's interior walls. The paint sprayer can reach the necessary heights With the assistance of of this mechanism for cascading lifts mechanism. With two degrees of freedom (DOF), The robot moves fluidly in each of the six directions. thanks to the DC powered mecanum wheels mounted down to its foundation. Ultrasonic sensors are used by the robot to measure distance, make adjustments to the walls, and determine if the mister has reached the wall's summit. The robot's mecanum wheels, ultrasonic sensors, and other components are all managed by the master controller. The AC power supply powers the entire system Color is sprayed on to manage the amount of color; sprayers are employed for this purpose. Sprayers need to split liquid into droplets that are the right size, distribute them evenly across the surface, and manage the volume of liquid to prevent overapplication. One major issue thataffects workers everywhere is disease control

Estimating the Duration of Construction Works Using Fuzzy Modeling to Assess the Impact of Risk Factors

One of the most pressing issues in the implementation of construction projects is the extension of planned deadlines, significantly impacting project costs. This situation often arises due to inaccurate estimation of construction durations, which rely on normative values without accounting for factors hindering construction progress. Consequently, this article aims to develop an innovative approach for assessing construction durations, considering specific risk factors and their influence on construction activities. Given the difficulty of determining risk factors and their effects during the design phase using classical probability theory, characterized by unknown probability distributions, it is highlighted that this scenario represents planning and implementation under conditions of non-statistical uncertainty. Therefore, the article proposes an approach utilizing elements of fuzzy set theory, particularly fuzzy rules and linguistic variables, to determine delays in individual construction tasks. The proposed approach involves estimating extensions of construction timelines based on a specified probability level of occurrence for risk events and their impact. Additionally, the article provides a theoretical description of the proposed approach and practical calculation examples, demonstrating that the authors’ approach significantly enhances the accuracy of construction timeline forecasts, providing more reliable data for project planning and management.

Technology for designing structural-mental schemes for calculation tasks

The purpose of the study. Modern teaching tools and methods, as a rule, implicitly rely on the “black box” model. In contrast, the “white box” model has clear didactic advantages. Unfortunately, they are difficult to implement in the educational process due to the lack of available ways to construct this model. The purpose of the study is to develop a technology for constructing a “white box” model in the form of a structural and mental scheme of calculation tasks in the field of elementary physics. This technology involves the use of calculation primitives to design task schemes by superposition.Materials and methods. Development of technology for constructing the “white box” model in the form of a structural and mental scheme of calculation tasks in the field of elementary physics. The use of calculation primitives to construct task schemes by superposition. Determining the complexity of a specific task through the number of primitives involved in the “route” of the solution. Organization of students’ training according to the “white box” model with visualization of the process of forming skills to solve calculation tasks.Results. Schemes have the ability to ensure the strength and completeness of the formation of the ability to solve problems of the student. At the same time, the variety of routes and the set of weights of the paths make up the information model of learning. As an example, structural and mental schemes on the topic “thermal phenomena” are presented. They show the need to use several types of primitives, in particular, function primitives, sum primitives. Structural and mental schemes allow students to organize training according to the “white box” model, visualize the process of formation and development of students’ skills to solve calculation tasks, thereby ensuring control and self-control of educational activities.Conclusion. Based on the provisions of the mental approach, a technology for constructing structural and mental schemes representing a cognitive way of thinking in solving computational problems is proposed. The basic technology is computational primitives, with the help of which problem schemes are constructed by superposition. The complexity of a particular task is determined by the number of primitives involved in the “route” of the solution. The proposed technology is applicable to the construction of structural and mental schemes of computational problems in various subject areas.

Exploring construction workers' attention and awareness in diverse virtual hazard scenarios to prevent struck-by accidents

Repetitive tasks in construction reduce workers' attentiveness of hazards on sites. This decline in attentiveness can be influenced by their situation awareness level. However, research on the relationship between attentiveness and situation awareness is scarce in the construction safety domain. This study employs eye-tracking techniques to investigate how visual attention changes due to variations in workers’ situation awareness levels. A virtual reality-based experiment was conducted to evaluate the situation awareness level of individual workers and examine its relationship with attentiveness towards different hazards using the situation awareness global assessment technique and linear regression analysis. The experimental findings reveal that the overall trend of allocating attention toward hazards declined over time. Furthermore, the attentiveness of workers varied depending on their situation awareness levels and the type of hazardous condition. Throughout the experiment, the group with a low situation awareness failed to sustain their vigilance toward hazards as effectively as the group with a high situation awareness. The outcomes of this study will help construction safety trainers understand variations in workers' vigilance behavior over time and, thus mitigate the risk of accidents owing to inattentiveness at job sites.

Object-based terminal positioning solution within task-boosted global constraint for improving mobile robotic stacking accuracy

Wall building is labor-intensive and time-consuming as a typical construction task. It is expected to perform this heavy task using robots. However, laborers are still largely employed, mainly because high continuous stacking precision for mobile robots has always been a bottleneck problem. This paper examines the characteristics of continuous robotic stacking in wall-building tasks and finds the key challenge lies in precisely manipulating the robot arm terminal to the target pose and guaranteeing the wall’s verticality. We propose an object-based terminal positioning solution for this issue. The core of this solution is establishing a reference coordinate system as a measurement reference and designing a multi-sensor measurement system to measure the relative pose between the robot and the object. The solution allows the robot to reposition multiple times and iteratively correct the terminal’s pose, which greatly reduces the impact of positioning errors and loaded deflections of mobile systems on terminal positioning accuracy. Furthermore, we propose for the first time the construction of an active reference feature using a planar laser as a global constraint to provide a consistent reference for establishing reference coordinate systems. Global constraint eliminates the cumulative stacking errors due to relying only on the previously stacked object’s reference features for terminal positioning in continuous stacking tasks and guarantees the wall’s verticality. Finally, an autonomous mobile stacking robot is developed, and continuous block stacking experiments are conducted with this robot in a laboratory environment simulating real application sites. Experimental results demonstrate that the developed robotic system can achieve millimeter-level stacking accuracy, where a single vertical stack error of 3 mm meets the high requirements of the construction industry. Thus, it is reasonable to believe the proposed solution is extremely competitive compared to existing studies and provides valuable insights for improving the continuous stacking accuracy of mobile robots in large-scale unstructured environments.

Multiagent robotic systems and exploration algorithms: Applications for data collection in construction sites

AbstractThe construction industry has been notoriously slow to adopt new technology and embrace automation. This has resulted in lower efficiency and productivity compared to other industries where automation has been widely adopted. However, recent advancements in robotics and artificial intelligence offer a potential solution to this problem. In this study, a methodology is proposed to integrate multirobotic systems in construction projects with the aim of increasing efficiency and productivity. The proposed approach involves the use of multiple robot and human agents (HA) working collaboratively to complete a construction task. The methodology was tested through a case study that involved 3D digitization of a small, occluded space using two robots and one HA. The results show that integrating multiagent robotic systems (MARS) in construction can effectively overcome challenges and complete tasks efficiently. The implications of this study suggest that MARS could revolutionize the industry.

Problems of differentiation in the codes of labor laws of the RSFSR and the Labor Code of the Russian Federation

The article addresses the problem of codification of special labor law norms, justifies the importance of their consolidation in the sectoral code. The domestic historical experience of codification through the prism of differentiation is investigated. Trends in the differentiation of legal regulation of labor relations in the modern period are analyzed. The shortcomings of the Labor Code of the Russian Federation in terms of labor regulation of certain categories of employees are shown, options for solving this problem are considered. The need for differentiation in a codified act of labor law is due to the nature of labor in certain areas, as well as the special concern of the state for certain groups of employees. The Code is the main sectoral act, it must contain special norms in order to meet the requirements of completeness and consistency. In the four Russian labor codes, the issue of differentiation was resolved in different ways. With each new codification, the legislator, relying on the experience gained, approached this issue more consistently, while there was also a «field» for criticism. The task of optimal construction of special labor and legal norms is also relevant for the Labor Code of the Russian Federation, in modern conditions the relevance increases due to the increase in atypical employment. It is important, retaining in the codified act a special chapter on the features of labor, to establish uniform approaches to its regulation in relation to the main professional groups and spheres. At the same time, it is inappropriate to reflect in the code the features of labor affecting the specialization of a particular profession, turning the act of codification into a collection of instructions. The legislator should also consider the issue of consolidation in art. 2 of the Labor Code of the Russian Federation, devoted to the principles of legal regulation of labor relations, the principle of differentiation.

Selective cortical adaptations associated with neural efficiency in visuospatial tasks – the comparison of electroencephalographic profiles of expert and novice artists

Visuospatial cognition encapsulates an individual's ability to efficiently navigate and make sense of the multimodal cues from their surroundings, and therefore has been linked to expert performance across multiple domains, including sports, performing arts, and highly skilled tasks, such as drawing (Morrone and Minini, 2023). As neural efficiency posits a task-specific functional reorganization facilitated by long-term training, the present study employs a visuospatial construction task as a means of investigating the neurophysiological adaptations associated with expert visuospatial cognitive performance. Electroencephalogram (EEG) data acquisitions were used to evaluate the event-related changes (ER%) and statistical topographic maps of nine expert versus nine novice artists. The expert artists displayed overall higher global ER% compared to the novices within task-active intervals. Significant increases in relative ER% were found in the theta (t (10) = 3.528, p = 0.003, CI = [27.3,120.9]), lower-alpha (t (10) = 3.751, p = 0.002, CI = [28.2,110.5]), upper-alpha (t (10) = 3.829, p = 0.002, CI = [50.2,189.8]), and low beta (t (10) = 4.342, p < 0.001, CI = [37.0,114.9]) frequency bands, when comparing the experts to the novice participants. These results were particularly found in the frontal (t (14) = 2.014, p = 0.032, CI = [7.7,245.4]) and occipital (t (14) = 2.647, p = 0.010, CI = [45.0,429.7]) regions. Further, a significant decrease in alpha ER% from lower to upper activity (t (8) = 4.475, p = 0.001, CI = [21.0, 65.8]) was found across cortical regions in the novice group. Notably, greater deviation between lower and upper-alpha activity was found across scalp locations in the novice group, compared to the experts. Overall, the findings demonstrate potential local and global EEG-based indices of selective cortical adaptations within a task requiring a high degree of visuospatial cognition, although further work is needed to replicate these findings across other domains.

Methodological Possibilities of Solving Inventive Tasks in Architecture and Construction

Methodological Possibilities of Solving Inventive Tasks in Architecture and Construction

CodeKGC: Code Language Model for Generative Knowledge Graph Construction

Current generative knowledge graph construction approaches usually fail to capture structural knowledge by simply flattening natural language into serialized texts or a specification language. However, large generative language model trained on structured data such as code has demonstrated impressive capability in understanding natural language for structural prediction and reasoning tasks. Intuitively, we address the task of generative knowledge graph construction with code language model: given a code-format natural language input, the target is to generate triples which can be represented as code completion tasks. Specifically, we develop schema-aware prompts that effectively utilize the semantic structure within the knowledge graph. As code inherently possesses structure, such as class and function definitions, it serves as a useful model for prior semantic structural knowledge. Furthermore, we employ a rationale-enhanced generation method to boost the performance. Rationales provide intermediate steps, thereby improving knowledge extraction abilities. Experimental results indicate that the proposed approach can obtain better performance on benchmark datasets compared with baselines.1

Effects of a back-assist exosuit in lab-based approximations of construction tasks performed by novices and experienced construction workers

Passive back-assist exosuits may be beneficial for construction workers, but few evaluations have been conducted with actual workers and construction-relevant tasks. This paper presents a laboratory study of the HeroWear Apex exosuit with 35 participants: 15 with significant construction experience and 20 without it. Participants completed several approximations of brief construction tasks (lifting, carrying, raising boards) and three 3-min tasks (hunched standing, kneeling, hunched walking with a nail gun) with and without the exosuit. During brief tasks, erector spinae electromyograms were reduced in all tasks (Cohen’s d up to −0.58), kinematics suggested load shifting from the back to the legs, and the exosuit was perceived as helpful. During 3-min tasks, the exosuit was perceived as helpful in all tasks, but only reduced erector spinae electromyograms during kneeling. Thus, the exosuit may benefit workers during several construction-related tasks, though objective benefits could not be shown in 3-min standing or walking.

IMPLEMENTATION OF A GEOGRAPHIC INFORMATION SYSTEM IN MONITORING THE IMPLEMENTATION OF HOUSING CONSTRUCTION

Building the 864-unit housing complex was a significant construction undertaking. Within an implementation period of 18 months and a project area of approximately 34 hectares, this project demanded efficient management to control the time and budget that had been set. To achieve this goal, it is necessary to implement effective planning, organization, management and resource allocation processes. This process aims to break down project management into simpler tasks or activities, provide time estimates for each task, and continuously monitor their progress. Although conventional planning tools such as Primavera and Msproject can provide a time representation of the tasks to be performed, they are not yet able to provide spatial or geographic monitoring of these tasks within the scope of the project. By integrating Geographic Information Systems (GIS), this project can gain additional benefits. GIS allows identifying data about the progress of construction tasks, and then presenting them in the form of maps. This not only visualizes overall progress graphically and geographically, but also makes it easy to extract useful summaries to support project decision making. With GIS, construction project monitoring not only becomes more efficient, but also more up-to-date and relevant to the scope of the project involving various dispersed structures. It is hoped that GIS integration can improve project management control and optimize the final results of the construction of the 864 housing complexes.

A temporal evaluation of respirable crystalline silica exposure for construction tasks.

Personal air monitoring using a TSI SidePak AM520 personal aerosol monitor was performed on a northern Colorado construction site during five tasks from the OSHA Table 1: Specified Exposure Control Methods When Working With Materials Containing Crystalline Silica to estimate silica dust concentrations in real time. Photometric measurements were modified using a gravimetric correction factor and a % respirable crystalline silica adjustment. Each task was sampled once; sample time ranged from 14 min to 40 min, with a mean sample time of 27 min. The mean silica dust concentration estimates (μg/m3) (standard deviation [SD]) for the five tasks computed from the TSI SidePak AM520 respirable dust measurements were core drilling 12 μg/m3 [2.46], grinding 918 μg/m3 [1134.08], cutting with a walk-behind saw 36 μg/m3 [79.67], jackhammering 27 μg/m3 [23.24], and dowel drilling 66 μg/m3 [77.65]. Silica exposure estimates from real-time monitoring can be used to identify exposures that may be related to inadequate controls or worker behaviors that contribute to peak exposures. Respirable crystalline silica exposure estimates presented here are likely not generalizable to other construction sites or tasks.

Translation and Adaptation of Cognistat in Hindi Language: For Computerized Evaluation of Cognitive Functioning.

Cognitive assessment is a crucial element of the mental health screening process. However, there is a lack of culturally appropriate cognitive screening tools for the Hindi-speaking aging population in India. We aimed to translate and culturally tailor the English version of the computerized Cognistat test for the Hindi-speaking aging population. The computer-based Cognistat Assessment System was culturally adapted for the North Indian Hindi-speaking population. Participants with mild cognitive impairment (MCI) (n =30), depression (n =30), and healthy control (n =30) groups between the age range of 50 and 83years were assessed using the translated version of the tool. The group differences were analyzed using analysis of variance, multivariate analysis of variance, Tukey's post hoc analysis for continuous variables, and Fisher's exact test for categorical variables. The correlation between the Cognistat domains was analyzed using Pearson's correlation, and test reliability was assessed using Cronbach's alpha. The MCI group had significantly lower scores as compared with the depression and control groups on orientation, language, repetition, and calculation domain tasks. For attention and construction tasks, the MCI group had lower scores than the control group. MCI group scores were significantly lower than the control group on naming domain. The Hindi version of the test was reliable for the Hindi-speaking aging population. Cognistat Hindi can be used by trained healthcare professionals with Hindi-speaking populations for culturally tailored primary evaluation of cognitive difficulties. Future research should focus on further validation and assessment of its properties.