Pub Date : 2022-04-22DOI: 10.1080/1463922X.2022.2064934
R. Seva, Angela Li Sin Tan, L. Tejero, M. Salvacion
Abstract Medical device (MD) developers currently use the Technology Readiness Levels (TRLs) to determine the status of technology. However, the broad definition of each level makes it difficult to ascertain readiness of MDs. The TRL is also indifferent to the strict regulatory requirements for MDs, requirements for human systems integration, and market competition. This paper proposes a technology readiness framework for communicating and planning the development of Class III MDs called the Medical Device Readiness Levels (MDRLs). Five exit criteria were staged in a meaningful sequence within the framework: safety, clinical effectiveness, usability, comfort, and affective response. It also incorporates the stakeholders’ perspectives, mindful of the users’ varying needs in manipulating the MD. The usefulness of the framework was affirmed by professionals involved in MD development.
{"title":"Multi-dimensional readiness assessment of medical devices","authors":"R. Seva, Angela Li Sin Tan, L. Tejero, M. Salvacion","doi":"10.1080/1463922X.2022.2064934","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2064934","url":null,"abstract":"Abstract Medical device (MD) developers currently use the Technology Readiness Levels (TRLs) to determine the status of technology. However, the broad definition of each level makes it difficult to ascertain readiness of MDs. The TRL is also indifferent to the strict regulatory requirements for MDs, requirements for human systems integration, and market competition. This paper proposes a technology readiness framework for communicating and planning the development of Class III MDs called the Medical Device Readiness Levels (MDRLs). Five exit criteria were staged in a meaningful sequence within the framework: safety, clinical effectiveness, usability, comfort, and affective response. It also incorporates the stakeholders’ perspectives, mindful of the users’ varying needs in manipulating the MD. The usefulness of the framework was affirmed by professionals involved in MD development.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":"512 ","pages":"189 - 205"},"PeriodicalIF":1.6,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41280739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-22DOI: 10.1080/1463922X.2022.2061078
Salim G. Shaikh, B. Suresh Kumar, Geetika Narang
Abstract Recommender systems use different techniques of machine learning (ML) to suggest users and recommend service or entity in various field of application such as in health care recommender system (HRS). Due to the vast count of algorithms shown in the literature, HRS and various application sectors are now utilizing ML algorithms from the area of artificial intelligence. However, selecting an appropriate ML algorithm in the case of a health recommender system seems to be a time-consuming task. However the development of recommender system in different service domain faces problems of algorithms selection for better accuracy. This article examined the usage of ML techniques in recommender systems for health applications through a survey of the literature. The objectives of this article are (i) recognize the literature review finding of recommender system in health applications using ML and deep learning algorithms. (ii) Assist new researchers with the help of gap in previous research. The results of this study is to proposed new recommender system in health application of mosquito borne disease by using hybrid approach of ML technique.
{"title":"Recommender system for health care analysis using machine learning technique: a review","authors":"Salim G. Shaikh, B. Suresh Kumar, Geetika Narang","doi":"10.1080/1463922X.2022.2061078","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2061078","url":null,"abstract":"Abstract Recommender systems use different techniques of machine learning (ML) to suggest users and recommend service or entity in various field of application such as in health care recommender system (HRS). Due to the vast count of algorithms shown in the literature, HRS and various application sectors are now utilizing ML algorithms from the area of artificial intelligence. However, selecting an appropriate ML algorithm in the case of a health recommender system seems to be a time-consuming task. However the development of recommender system in different service domain faces problems of algorithms selection for better accuracy. This article examined the usage of ML techniques in recommender systems for health applications through a survey of the literature. The objectives of this article are (i) recognize the literature review finding of recommender system in health applications using ML and deep learning algorithms. (ii) Assist new researchers with the help of gap in previous research. The results of this study is to proposed new recommender system in health application of mosquito borne disease by using hybrid approach of ML technique.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":"23 1","pages":"613 - 642"},"PeriodicalIF":1.6,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49324111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-18DOI: 10.1080/1463922X.2022.2061080
Robert W. Andrews, J. Lilly, Divya Srivastava, K. Feigh
Abstract Mental models are knowledge structures employed by humans to describe, explain, and predict the world around them. Shared Mental Models (SMMs) occur in teams whose members have similar mental models of their task and of the team itself. Research on human teaming has linked SMM quality to improved team performance. Applied understanding of SMMs should lead to improvements in human-AI teaming. Yet, it remains unclear how the SMM construct may differ in teams of human and AI agents, how and under what conditions such SMMs form, and how they should be quantified. This paper presents a review of SMMs and the associated literature, including their definition, measurement, and relation to other concepts. A synthesized conceptual model is proposed for the application of SMM literature to the human-AI setting. Several areas of AI research are identified and reviewed that are highly relevant to SMMs in human-AI teaming but which have not been discussed via a common vernacular. A summary of design considerations to support future experiments regarding Human-AI SMMs is presented. We find that while current research has made significant progress, a lack of consistency in terms and of effective means for measuring Human-AI SMMs currently impedes realization of the concept.
{"title":"The role of shared mental models in human-AI teams: a theoretical review","authors":"Robert W. Andrews, J. Lilly, Divya Srivastava, K. Feigh","doi":"10.1080/1463922X.2022.2061080","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2061080","url":null,"abstract":"Abstract Mental models are knowledge structures employed by humans to describe, explain, and predict the world around them. Shared Mental Models (SMMs) occur in teams whose members have similar mental models of their task and of the team itself. Research on human teaming has linked SMM quality to improved team performance. Applied understanding of SMMs should lead to improvements in human-AI teaming. Yet, it remains unclear how the SMM construct may differ in teams of human and AI agents, how and under what conditions such SMMs form, and how they should be quantified. This paper presents a review of SMMs and the associated literature, including their definition, measurement, and relation to other concepts. A synthesized conceptual model is proposed for the application of SMM literature to the human-AI setting. Several areas of AI research are identified and reviewed that are highly relevant to SMMs in human-AI teaming but which have not been discussed via a common vernacular. A summary of design considerations to support future experiments regarding Human-AI SMMs is presented. We find that while current research has made significant progress, a lack of consistency in terms and of effective means for measuring Human-AI SMMs currently impedes realization of the concept.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":"24 1","pages":"129 - 175"},"PeriodicalIF":1.6,"publicationDate":"2022-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42189371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-04DOI: 10.1080/1463922X.2022.2044932
Mangesh Joshi, V. Deshpande
Abstract With increasing frequency and intensity of Musculoskeletal disorders(MSDs) and large number of people being affected by them, the subject of workstation design needs required more attention and a planned approach. In order to reduce the adverse impact of disorders and to improve the existing workstation design practices, academicians and practitioners are emphasizing on a number of diverse factors of workstation design/improvement by segmenting them into different clusters. This research is intended to address the critical contributing success factors (CCSFs). Through a review of literature and expert consultation, twenty-four critical contributing success factors leading to ergonomic workstation design have been identified. In this paper, the authors have used Interpretive Structural Modelling (ISM) approach to interpret the interdependency among the selected CCSFs. In addition, MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (cross-impact matrix multiplication applied to classification)) analysis is also performed to illustrate the relative driving and dependence power among the selected factors. This paper infers that, Capital availability is the most dominating factor which has the highest driving power and the minimum dependence power as it drives others factors and forms the base of interpretive structure model. This is followed by physical attributes including anthropometric dimensions of worker. The top-level dependent factors are safety and flexibility requirement for any workstation design. Originality: ISM and MICMAC analysis applied in workstation design and is not available in the literature having twenty-four factors.
随着肌肉骨骼疾病(MSDs)发生频率和强度的增加以及受其影响的人群数量的增加，工作站的设计需要更多的关注和有计划的方法。为了减少疾病的不利影响并改进现有的工作站设计实践，学者和从业者正在通过将它们划分为不同的集群来强调工作站设计/改进的许多不同因素。本研究的目的是解决关键贡献成功因素(ccsf)。通过文献回顾和专家咨询，24个关键贡献成功因素导致人体工程学工作站的设计已经确定。在本文中，作者使用解释结构建模(ISM)方法来解释所选ccsf之间的相互依赖性。此外，我们还进行了MICMAC (matrix d’impacts croiscims Multiplication appliqucame un Classement(交叉影响矩阵乘法应用于分类)分析，以说明所选因素之间的相对驱动和依赖能力。本文认为，资本可获得性是最主要的因素，对其他因素的驱动力最大，依赖性最小，构成了解释结构模型的基础。其次是身体属性，包括工人的人体测量尺寸。最顶层的依赖因素是任何工作站设计的安全性和灵活性要求。原创性:将ISM和MICMAC分析应用于工作站设计，在文献中没有24个因素。
{"title":"Application of interpretive structural modelling (ISM) for developing ergonomic workstation improvement framework","authors":"Mangesh Joshi, V. Deshpande","doi":"10.1080/1463922X.2022.2044932","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2044932","url":null,"abstract":"Abstract With increasing frequency and intensity of Musculoskeletal disorders(MSDs) and large number of people being affected by them, the subject of workstation design needs required more attention and a planned approach. In order to reduce the adverse impact of disorders and to improve the existing workstation design practices, academicians and practitioners are emphasizing on a number of diverse factors of workstation design/improvement by segmenting them into different clusters. This research is intended to address the critical contributing success factors (CCSFs). Through a review of literature and expert consultation, twenty-four critical contributing success factors leading to ergonomic workstation design have been identified. In this paper, the authors have used Interpretive Structural Modelling (ISM) approach to interpret the interdependency among the selected CCSFs. In addition, MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (cross-impact matrix multiplication applied to classification)) analysis is also performed to illustrate the relative driving and dependence power among the selected factors. This paper infers that, Capital availability is the most dominating factor which has the highest driving power and the minimum dependence power as it drives others factors and forms the base of interpretive structure model. This is followed by physical attributes including anthropometric dimensions of worker. The top-level dependent factors are safety and flexibility requirement for any workstation design. Originality: ISM and MICMAC analysis applied in workstation design and is not available in the literature having twenty-four factors.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":"24 1","pages":"88 - 110"},"PeriodicalIF":1.6,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44538125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-22DOI: 10.1080/1463922X.2022.2036861
Jonathan Deniel, J. Navarro
Abstract Among highly automated driving research topics, transition of control, especially from automated to manual driving (i.e., takeover) have been the object of numerous studies. Drivers’ gaze behaviours are of particular interest as proper information processing by the driver is a key element to safe manual control resumption. In this study, 22 research articles were selected and reviewed to extract main gaze behaviours tendencies during takeover transitions. Despite a great variety in protocols and gaze metrics, categories of factors and gaze parameters have been established. The resulting data shows that at the onset of the takeover request gaze tend to be quickly reoriented towards the road ahead. Despite this, an increase in gaze dispersion on the road environment was found in automated driving. In addition, clear evidence for detrimental effects of visually engaging non-driving related activities on visual exploration strategies emerge (e.g., delay in reorienting the gaze towards the road ahead). Altogether, gaze data reveal the complexity of information processing during takeovers. A synthetical view of gaze parameters evolution during the takeover process has been established and associated with visual information gathering and processing. Finally, a broader view underlying the importance of combining technological approaches with human centred ones is proposed. Supplemental data for this article is available online at at http://doi:10.1080/1463922X.2022.2036861 .
{"title":"Gaze behaviours engaged while taking over automated driving: a systematic literature review","authors":"Jonathan Deniel, J. Navarro","doi":"10.1080/1463922X.2022.2036861","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2036861","url":null,"abstract":"Abstract Among highly automated driving research topics, transition of control, especially from automated to manual driving (i.e., takeover) have been the object of numerous studies. Drivers’ gaze behaviours are of particular interest as proper information processing by the driver is a key element to safe manual control resumption. In this study, 22 research articles were selected and reviewed to extract main gaze behaviours tendencies during takeover transitions. Despite a great variety in protocols and gaze metrics, categories of factors and gaze parameters have been established. The resulting data shows that at the onset of the takeover request gaze tend to be quickly reoriented towards the road ahead. Despite this, an increase in gaze dispersion on the road environment was found in automated driving. In addition, clear evidence for detrimental effects of visually engaging non-driving related activities on visual exploration strategies emerge (e.g., delay in reorienting the gaze towards the road ahead). Altogether, gaze data reveal the complexity of information processing during takeovers. A synthetical view of gaze parameters evolution during the takeover process has been established and associated with visual information gathering and processing. Finally, a broader view underlying the importance of combining technological approaches with human centred ones is proposed. Supplemental data for this article is available online at at http://doi:10.1080/1463922X.2022.2036861 .","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":"24 1","pages":"54 - 87"},"PeriodicalIF":1.6,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47977183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-20DOI: 10.1080/1463922X.2022.2036859
Mangesh Joshi, V. Deshpande
Abstract The purpose of this study is to investigate the sensitivity of the Ovako working posture analyzing system. This paper also focuses on the identification of insensitive and highly sensitive posture zones. The OWAS sensitivity analysis, together with the ordinal regression analysis, offers deeper insights into the methodology for assessing posture. A full factorial design was used to account for all possible combinations of body members. To assess the sensitivity, one parameter of the body part was changed while other parameters were left unchanged to understand its effect on the output score. Combinations of postures in which no change was observed and corresponding ranges were noted. Posture ratings with sudden jumps were also noted. Ordinal regression analysis was performed to identify the body variable with the greatest impact and its weight in estimating the OWAS action category. Ergonomic practitioners can be made aware of insensitive and sensitive zones when assessing posture.
{"title":"An investigative sensitivity study of Ovako working posture analyzing system (OWAS)","authors":"Mangesh Joshi, V. Deshpande","doi":"10.1080/1463922X.2022.2036859","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2036859","url":null,"abstract":"Abstract The purpose of this study is to investigate the sensitivity of the Ovako working posture analyzing system. This paper also focuses on the identification of insensitive and highly sensitive posture zones. The OWAS sensitivity analysis, together with the ordinal regression analysis, offers deeper insights into the methodology for assessing posture. A full factorial design was used to account for all possible combinations of body members. To assess the sensitivity, one parameter of the body part was changed while other parameters were left unchanged to understand its effect on the output score. Combinations of postures in which no change was observed and corresponding ranges were noted. Posture ratings with sudden jumps were also noted. Ordinal regression analysis was performed to identify the body variable with the greatest impact and its weight in estimating the OWAS action category. Ergonomic practitioners can be made aware of insensitive and sensitive zones when assessing posture.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":"24 1","pages":"1 - 16"},"PeriodicalIF":1.6,"publicationDate":"2022-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43033837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-17DOI: 10.1080/1463922X.2022.2040062
Juergen Sauer, A. Sonderegger, S. Thuillard, N. Semmer
Abstract This article presents some deliberations on methodological approaches to researching the effects of work-related social stress on performance, with particular consideration being given to machine-induced social stress. The article proposes a broad methodological approach to examine such effects. A particular focus is placed on performance after-effects (e.g. unscheduled probe tasks), extra-role behaviour, and task management behaviour because of conventional performance measures (i.e. scheduled tasks) often being unimpaired by social stressors. The role of the ‘performance protection mode’ as an important concept is discussed. A distinction is made between three facets of after-effects: performance-related, behavioural, and emotional. Unscheduled probe tasks and voluntary tasks are proposed to measure performance-related and behavioural after-effects. Propositions for specific experimental scenarios are made, allowing for sufficiently realistic simulations of social stress at work. The availability of such lab-based simulations of work environments offers good opportunities for this line of experimental research, which is expected to gain in importance since highly automated systems may modify the impact of human-induced social stress or may even represent a social stressor themselves. Finally, the considerations presented in this article are not only of relevance to the domain of social stress but to experimental stress research in general.
{"title":"Social stress in human-machine systems: opportunities and challenges of an experimental research approach","authors":"Juergen Sauer, A. Sonderegger, S. Thuillard, N. Semmer","doi":"10.1080/1463922X.2022.2040062","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2040062","url":null,"abstract":"Abstract This article presents some deliberations on methodological approaches to researching the effects of work-related social stress on performance, with particular consideration being given to machine-induced social stress. The article proposes a broad methodological approach to examine such effects. A particular focus is placed on performance after-effects (e.g. unscheduled probe tasks), extra-role behaviour, and task management behaviour because of conventional performance measures (i.e. scheduled tasks) often being unimpaired by social stressors. The role of the ‘performance protection mode’ as an important concept is discussed. A distinction is made between three facets of after-effects: performance-related, behavioural, and emotional. Unscheduled probe tasks and voluntary tasks are proposed to measure performance-related and behavioural after-effects. Propositions for specific experimental scenarios are made, allowing for sufficiently realistic simulations of social stress at work. The availability of such lab-based simulations of work environments offers good opportunities for this line of experimental research, which is expected to gain in importance since highly automated systems may modify the impact of human-induced social stress or may even represent a social stressor themselves. Finally, the considerations presented in this article are not only of relevance to the domain of social stress but to experimental stress research in general.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":"24 1","pages":"29 - 53"},"PeriodicalIF":1.6,"publicationDate":"2022-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42224879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-10DOI: 10.1080/1463922X.2022.2036860
K. Mohan, V. Pillai, Pujara Dhaval Jayendrakumar, P. Sankaran, Arun Chandramohan
Abstract Traditional observational posture evaluation methods stress on sampling approach for continuous evaluation of dynamic postures in any activity. Hence, the quality of results from such evaluations is under debate. This article proposes a Video Image-based Posture Assessment (VIPA) method as a highly capable one for assessing an activity requiring dynamic postures of workers. This article explains the various steps of VIPA and its application for (i) the extraction and classification of postures into different categories based on the instructed posture classes from 10 videos of soil loosening activity having 48,715 postures and (ii) the use of OWAS to evaluate the postures. VIPA relies on traditional posture evaluation methods. The results indicate that VIPA could identify precarious postures 30% of the activity duration; these results were found to be accurate and reliable because there is no sampling method involved. The capability of VIPA method is proven through the activity studied.
{"title":"Video image-based posture assessment: an approach for dynamic working posture assessment","authors":"K. Mohan, V. Pillai, Pujara Dhaval Jayendrakumar, P. Sankaran, Arun Chandramohan","doi":"10.1080/1463922X.2022.2036860","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2036860","url":null,"abstract":"Abstract Traditional observational posture evaluation methods stress on sampling approach for continuous evaluation of dynamic postures in any activity. Hence, the quality of results from such evaluations is under debate. This article proposes a Video Image-based Posture Assessment (VIPA) method as a highly capable one for assessing an activity requiring dynamic postures of workers. This article explains the various steps of VIPA and its application for (i) the extraction and classification of postures into different categories based on the instructed posture classes from 10 videos of soil loosening activity having 48,715 postures and (ii) the use of OWAS to evaluate the postures. VIPA relies on traditional posture evaluation methods. The results indicate that VIPA could identify precarious postures 30% of the activity duration; these results were found to be accurate and reliable because there is no sampling method involved. The capability of VIPA method is proven through the activity studied.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":"23 1","pages":"749 - 769"},"PeriodicalIF":1.6,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45895419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-02DOI: 10.1080/1463922X.2022.2033877
Mayur Bhat, K. Dehury, B. Chandrasekaran, Hari Prakash Palanisamy, A. Arumugam
Abstract The present study investigated the effects of attending lectures in sitting and standing postures on executive function of young adults. In this randomized, counterbalanced, crossover trial on 15 adults (19.2 ± 2.4 years), selective attention and executive control (response inhibition) were measured through reaction times and event related potentials (ERPs using electroencephalography [EEG]) associated with congruent and incongruent stimuli presented during a modified Eriksen flanker task. The reaction times and latencies of ERPs for the modified Eriksen flanker task among the interventions (sitting/standing), conditions (congruent/incongruent) and EEG electrodes were analyzed using analyses of variance. Attending a lecture in a standing posture was found to improve executive function (response inhibition) measured with reaction times (for incongruent stimuli) and ERPs (P3 [cognitive potential] amplitude at Pz and Cz electrodes; irrespective of congruent/incongruent stimuli) compared to that of the sitting posture. Standing might improve executive function compared to sitting among young adults in a simulated lecture environment.
{"title":"Does standing alter reaction times and event related potentials compared to sitting in young adults? A counterbalanced, crossover trial","authors":"Mayur Bhat, K. Dehury, B. Chandrasekaran, Hari Prakash Palanisamy, A. Arumugam","doi":"10.1080/1463922X.2022.2033877","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2033877","url":null,"abstract":"Abstract The present study investigated the effects of attending lectures in sitting and standing postures on executive function of young adults. In this randomized, counterbalanced, crossover trial on 15 adults (19.2 ± 2.4 years), selective attention and executive control (response inhibition) were measured through reaction times and event related potentials (ERPs using electroencephalography [EEG]) associated with congruent and incongruent stimuli presented during a modified Eriksen flanker task. The reaction times and latencies of ERPs for the modified Eriksen flanker task among the interventions (sitting/standing), conditions (congruent/incongruent) and EEG electrodes were analyzed using analyses of variance. Attending a lecture in a standing posture was found to improve executive function (response inhibition) measured with reaction times (for incongruent stimuli) and ERPs (P3 [cognitive potential] amplitude at Pz and Cz electrodes; irrespective of congruent/incongruent stimuli) compared to that of the sitting posture. Standing might improve executive function compared to sitting among young adults in a simulated lecture environment.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":"23 1","pages":"663 - 686"},"PeriodicalIF":1.6,"publicationDate":"2022-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41988420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. D. Wilson, L. Strickland, T. Ballard, Mark Griffin
Biomathematical models (BMMs) are parametric models that quantitatively predict fatigue and are routinely implemented in fatigue risk management systems in increasingly diverse workplaces. There have been consistent calls for an improved "next generation” of BMMs that provide more accurate and targeted predictions of human fatigue. This review examines the core characteristics of next-generation advancements in BMMs, including tailoring with field data, individual-level parameter tuning and real-time fatigue prediction, extensions to account for additional factors that influence fatigue, and emerging nonparametric methodologies that may augment or provide alternatives to BMMs. Examination of past literature and quantitative examples suggests there are notable challenges to advancing BMMs beyond their current applications. Adoption of multi-model frameworks, including quantitative joint modelling and machine learning, was identified as crucial to next-generation models. We close with general recommendations for researchers and model developers, including focusing research efforts on understanding the cognitive dynamics underpinning fatigue-related vigilance decrements, applying emerging dynamic modelling methods to fatigue data from field settings, and improving the adoption of open scientific practices in fatigue research.
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