{"title":"Morphological analysis and reliability assessment: systemic-structural activity theory approach","authors":"G. Bedny, I. Bedny","doi":"10.1504/IJHFMS.2018.10014214","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.10014214","url":null,"abstract":"Currently the most common ergonomic experiments often do not have sufficient external validity. To overcome this negative factor it is important to develop formalised and analytical methods of studying human performance. In this work authors describe the morphological analysis of tasks offered by systemic-structural activity theory. Morphological analysis is a general method for non-quantified modelling of various objects. In systemic-structural activity theory it is a systemic qualitative description of the structure of designed and often not yet existing activity. Such morphological analysis facilitates farther quantitative analysis of the operators' performance. It allows not just to optimise the methods of performance but also to improve equipment and HCI design.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116542550","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}
{"title":"Bayesian network for the prediction of situation awareness errors","authors":"Jean-Marc Salotti","doi":"10.1504/IJHFMS.2018.093174","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.093174","url":null,"abstract":"A new method is proposed to predict situation awareness errors in training simulations. It is based on Endsley's model and the eight 'situation awareness demons' that she described. The predictions are determined thanks to a Bayesian network and noisy-or nodes. A maturity model is introduced to come up with the initialisation problem. The NASA behavioural competency model is also used to take individual differences into account.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117216819","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}
{"title":"Quantifying the roles of human error and his/her state-of-health: use of the double-exponential-probability-distribution-function","authors":"E. Suhir","doi":"10.1504/IJHFMS.2018.10014213","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.10014213","url":null,"abstract":"The probabilistic predictive modelling (PPM) approach in human-in-the-loop (HITL) related aerospace problems enables one to predict, quantify, assure and even specify the probability of the outcome of an aerospace mission or a situation when the performance of a never-perfect human, never-100%-reliable instrumentation (equipment), never absolutely predictable response of the object of control (aero or spacecraft), uncertain and often harsh environment, as well as the interaction (interfaces) of these uncertainties, contribute jointly to the likelihood of such an outcome. The objective of this paper is to generate thinking on how to advance the state-of-the-art in today's aerospace human psychology and particularly, on how to quantify, by both modelling and experimentation, the HITL related effort when the HF and equipment/instrumentation performance contribute jointly to the outcome (success and safety) of an aerospace mission or an extraordinary situation.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125387739","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}
{"title":"Extracting typical incident patterns from text data","authors":"T. Nakata","doi":"10.1504/IJHFMS.2018.10014212","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.10014212","url":null,"abstract":"To prevent industrial incidents, it is important to learn why and how past incidents occurred and escalated. Information regarding accidents is recorded primarily in natural language texts, which are not convenient for analysing incident progression. This paper proposes a method for recognising the typical flow of events in a large set of text reports. Our method transforms each sentence in reports about industrial incidents into a vector (bag-of-words) to facilitate the detection of similar contexts and stories. In this way, we can recognise the typical progression of accidents.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129872674","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}
{"title":"Quantitative analysis and assessment of intrinsic and extrinsic factors in human-in-the-loop incidents and prevalent early failures","authors":"D. Verbitsky","doi":"10.1504/IJHFMS.2018.10014235","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.10014235","url":null,"abstract":"Comprehensive analyses of complex human-in-the-loop (HITL)-equipment incidents and early failures (EF) are critical for prevention of safety problems. Traditional methods often overestimate extrinsic late-life causes, overlook and/or misattribute prevalent EF causing high losses and missing vital opportunities. Instrumentation-based systemic early failure analysis (SEFA) methodology provides comprehensive assessments of human-technical-mixed root causes and interactions. It also sorts few fundamental intrinsic causes and numerous trivial extrinsic ones using physics and subject-matter specifics (Juran-F10 principle). A typical industry-new EF of micro-wire-wound resistors supported by similar cross-industry errors illustrate the issues proving inherent deficiency of conventional approaches. These urge to restore enhanced modernised SEFA-centred closed feedback loop. The proposed SEFA-based semi-quantitative expert weight assessment better characterises multifaceted HITL incidents-EF vs. the conventional qualitative common-special causes. SEFA has demonstrated concurrent multifaceted improvements and high customer satisfaction for all tiers of modern HITL electronics.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133755911","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}
{"title":"Human performance modelling for image analyst decision support design","authors":"Holly Zelnio, Mary E. Fendley","doi":"10.1504/IJHFMS.2018.10014216","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.10014216","url":null,"abstract":"The critical element in human in the loop military systems, image analysts must make decisions quickly. Improving analyst performance remains a priority of military leadership. This model, and previous findings of synthetic aperture radar (SAR) human in the loop experiments were used to design and test a decision support system (DSS) for analysing electro-optical (EO) and SAR images. Cognitive task analysis was used to develop an operator function model of the analyst classification task. Findings indicate that a DSS increased decision confidence and time. Interestingly, analyst trust is higher when employed in the analysis of EO images, yet aided performance was more accurate on SAR images. As uncovered through human performance modelling, analyst accuracy, confidence and time aided by a trusted DSS is crucial to analyst performance. These results suggest while the developed DSS improved analyst confidence and accuracy, it did not do so while concurrently decreasing task time.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"790 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133416755","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}
{"title":"Relevance of air-traffic controllers' tacit knowledge in enhancing air-traffic control and safety in Ghanaian airspace","authors":"M. Sanda","doi":"10.1504/IJHFMS.2018.093170","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.093170","url":null,"abstract":"This study explored the cognitive and workload demands of air-traffic control activity and the tacit knowledge used by air-traffic controllers to cope with the stress associated with such demands i ...","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127513824","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}
{"title":"Predictive simulation of human circular gait","authors":"Y. Xiang, Paul Owens, Rahid Zaman","doi":"10.1504/IJHFMS.2018.10012479","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.10012479","url":null,"abstract":"This paper presents a one-stride formulation to simulate human circular gait using a skeletal model. The formulation is based on a previously presented asymmetric walking formulation (Xiang et al., 2011). The circular walking motion is analysed using the proposed motion prediction method. The global moments due to active forces are decomposed at pelvis to retrieve correct zero moment point (ZMP) and ground reaction forces (GRF). The predicted GRF are compared to those of straight walk. Some insights on human circular gait are obtained. It is found that the transverse GRF of outer step is much larger than that of inner step for a circular gait, and the turning motion has larger jerk for the ZMP trajectory compared to the straight walk, i.e., it has more potential to fall. In addition, the straight walking is validated with the experimental data, and the peak knee joint angle values of the circular gait are compared with the data in the literature.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115771053","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}
Ida-Märta Rhen, M. Forsman, R. Örtengren, D. Högberg, A. Keyvani, Dan Lämkull, L. Hanson
{"title":"Ergonomic risk assessment in DHM tools employing motion data - exposure calculation and comparison to epidemiological reference data","authors":"Ida-Märta Rhen, M. Forsman, R. Örtengren, D. Högberg, A. Keyvani, Dan Lämkull, L. Hanson","doi":"10.1504/IJHFMS.2018.10012500","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.10012500","url":null,"abstract":"Digital human modelling (DHM) allows ergonomic risk assessment to be performed at early stages of design and development. Such assessment is typically based on observational methods, which do not take advantage of the potential of DHM tools to provide precise posture and motion data. This paper describes and illustrates an alternative assessment approach employing DHM tools, inspired by risk assessment based on direct measurements. A literature survey established a reference database of epidemiological associations between exposure and wrist-related disorders. This approach is illustrated by a DHM simulation of a car assembly task. Wrist posture and motion were simulated and compared to the database, predicting the prevalence of work-related musculoskeletal disorders on the basis of direct measurements.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130393424","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}
{"title":"Driver response to steering perturbations: mechanical arm admittance and grip pressure","authors":"Antonin Joly, R. Zheng, Kimihiko Nakano","doi":"10.1504/IJHFMS.2018.091357","DOIUrl":"https://doi.org/10.1504/IJHFMS.2018.091357","url":null,"abstract":"The monitoring of the driver condition has been studied extensively to develop driver assistance systems. Whereas, the available methods for acquiring information about the condition of the driver are limited to the analysis of driving performances and the monitoring of the visual behaviour via cameras. In this study, we propose to estimate the condition of the drivers via the relationship between mechanical arm admittance, which provides the dynamics relationship between a force input and a position output, and grip pressure in the frequency range of [0.1-0.5 Hz]. The perturbation amplitude effects and between subject variations were investigated. Ten participants performed driving simulations to determine these characteristics. Participants were instructed to grab the steering wheel while wearing grip sensors gloves. Experimental results show that mechanical arm admittance is a power function of the grip pressure of the participants. A nonlinear response was obtained with larger admittance with larger perturbation amplitudes.","PeriodicalId":417746,"journal":{"name":"International Journal of Human Factors Modelling and Simulation","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132100434","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}