Anthony M. Gibson, August A. Capiola, Gene M. Alarcon, Michael A. Lee, Sarah A. Jessup, Izz Aldin Hamdan
{"title":"Construction and validation of an updated perfect automation schema (uPAS) scale","authors":"Anthony M. Gibson, August A. Capiola, Gene M. Alarcon, Michael A. Lee, Sarah A. Jessup, Izz Aldin Hamdan","doi":"10.1080/1463922X.2022.2081375","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2081375","url":null,"abstract":"Abstract The perfect automation schema is described as a representation people hold regarding the performance of automated systems, comprising initial high expectations for automated systems’ performance and low forgiveness after automated systems fail. Merritt, Unnerstall, Lee, and Huber have created a self-report measure of perfect automation schema comprising the two aforementioned factors, but this measure has demonstrated poor internal consistency estimates. In the present research, we created an updated perfect automation schema (uPAS) scale that showed acceptable reliability and validity estimates. In Study 1, we generated items that described both factors of perfect automation schema and conducted an exploratory factor analysis. In Study 2, we conducted a confirmatory factor analysis to confirm the uPAS scale composition and examined the scale’s convergent, discriminant, and criterion validity. We found acceptable reliability estimates for the new scale across both studies. In Study 2, however, we found the uPAS scale factors and the factors from Merritt and colleagues’ scale showed similar criterion validity across three trust-related criteria (trustworthiness perceptions, reliance intentions, and use endorsement). We conclude by offering a reliable uPAS scale to assess the perfect automation schema, which showed comparable criterion-related validity to Merritt and colleagues’ scale.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43049322","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":"2SAFE: a health belief model-integrated framework for participatory ergonomics","authors":"Zhenyu Zhang, Ken-Yu Lin, Jia-Hua Lin","doi":"10.1080/1463922X.2022.2083716","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2083716","url":null,"abstract":"Abstract Initiating ergonomics interventions in a business environment requires changes in the behaviour of relevant actors. When participating in an intervention, researchers need to collect and share information with practitioners to help them make better behaviour-related decisions. This paper describes the five-step 2SAFE (Surveillance, Screening, Assessment, Framing, and Evaluation) planning framework, which can be used to guide research-practice collaboration in participatory ergonomics programmes. This framework combines the understanding of work-related musculoskeletal disorders with the principles of the health belief model. This theoretical synthesis empowers the framework to address the following critical challenges: (1) how to make data collection processes attuned to the nature of ergonomic injuries; and (2) how to transform the data collected into immediately usable information for practitioners to change their behaviours. The framework is interdisciplinary and can facilitate transfer of knowledge between ergonomics and health behaviour science. The framework can enhance the ability of researchers to collaborate with practitioners and bring participatory ergonomics programmes closer to success. In the long term, we hope that this framework can lead to more high-quality interventions that are able to prevent work-related musculoskeletal disorders in various industrial settings.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45234247","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":"The frequency of facial muscles engaged in expressing emotions in people with visual disabilities via cloud-based video communication","authors":"H. N. Kim","doi":"10.1080/1463922X.2022.2081374","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2081374","url":null,"abstract":"Abstract As technology is advancing quickly, and various assistive technology applications are introduced to users with visual disabilities, many people with visual disabilities use smartphones and cloud-based video communication platforms such as Zoom. This study aims at advancing knowledge of how people with visual disabilities visualize voluntary emotions via facial expressions, especially in online contexts. A convenience sample of 28 participants with visual disabilities were observed as to how they show voluntary facial expressions via Zoom. The facial expressions were coded using the Facial Action Coding System (FACS) Action Units (AU). Individual differences were found in the frequency of facial action units, which were influenced by the participants’ visual acuity levels (i.e., visual impairment and blindness) and emotion characteristics (i.e., positive/negative valence and high/low arousal levels). The research findings are anticipated to be widely beneficial to many researchers and professionals in the field of facial expressions of emotions, such as facial recognition systems and emotion sensing technologies. Relevance to human factors/ergonomics theoryThis study advanced knowledge of facial muscle engagements while people with visual disabilities visualize their emotions via facial expressions, especially in online contexts. The advanced understanding would contribute to building a fundamental knowledge foundation, ultimately applicable to universal designs of emotion technology that can read users’ facial expressions to customize services with the focus on adequately accommodating the users’ emotional needs (e.g., ambient intelligence) regardless of users’ visual ability/disability.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47766912","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":"The effect of applied effort on MATB-II performance","authors":"Denys Bulikhov, S. Landry","doi":"10.1080/1463922X.2022.2079155","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2079155","url":null,"abstract":"Abstract Some of the variability found in measures of mental workload (see e.g. Singleton, Fox, and Whitfield 1973; Wierwille and Connor 1983; Steelman, McCarley, and Wickens 2011; Casner and Gore 2010) may be due to the effort applied to the task by participants, rather than by the independent variable of interest. If true, capturing and removing the variation due to ‘applied effort’ could improve the ability of studies to detect effects of interest. While introducing participants to two sub-tasks derived from Multi-Attribute Task Battery II (Santiago-Espada et al. 2011), the study investigated the influence of applied effort on MATB-II performance measures while holding other effects constant. Two groups of participants each completed easy and hard trials of MATB-II-derived sub-tasks. Treatment group of participants was offered an additional reward if they achieved a sufficiently high performance. The treatment group performed better by just under 4% in both easy and hard trials which provides a suggestion about the size of the effect of applied effort in this study. Measuring or controlling for applied effort can improve the ability of researchers to determine the effects of interventions on workload measures by reducing the amount of variability that is captured as error.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"59868684","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":"Did Tools Create Humans?","authors":"J. Navarro, P. Hancock","doi":"10.1080/1463922X.2022.2076954","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2076954","url":null,"abstract":"Abstract The conception and creation of tools, their design, refinements and uses are traditionally viewed as being direct elaborations of inherent human capabilities. Here, we offer an alternative to this traditional perspective. Using a tool to complete any given task serves to change that task which, in turn, impacts and alters the tools’ user via the performance of current and subsequent tasks. Moreover, as each task evolves, humans have come to shape additional tools to respond accordingly. These ever-increasing complexifications then serve to stimulate expansion in inherent human cognitive capabilities themselves. Here, we do not view humans as the initial creators of tools. Rather, the a priori presence of tools in the ambient environment explains, ab initio, why the species homo sapiens has evolved in the way that history records. We thus propose that tools create humans. The subsequent symbiosis between humans and those tools, portrayed as a cumulative spiral structure, serves to frame this evolution of elaborative technologies that have been used across time to achieve socially desired objectives. From our premise, we envision evident lines of progress that can be anticipated for the future of this human-tool dyad.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49312045","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":"Machining the mind to mind the machine","authors":"P. Hancock","doi":"10.1080/1463922X.2022.2062067","DOIUrl":"https://doi.org/10.1080/1463922X.2022.2062067","url":null,"abstract":"Abstract Ergonomics is identified as that discipline which is most particularly focused upon the “laws of work’. Indeed, this is the etymological origins from which the name of the science is derived. In consequence, any future consideration of such an area of research endeavor must constantly re-examine and re-evaluate what is meant by the term ‘work’. The present article, that features an individual perspective, attacks this challenge through a prospective vision of what work may come. This vision of ‘futurework’ proves to be a rather bleak one. For, as is explained, the driving economic forces emphasize and embrace the greater utility of automated, and now growing autonomous systems, to accomplish the tasks which connote work. Often cast in opposition to the efficiency/profit imperative are those social forces for which human-centered endeavors, such as Ergonomics, advocate. Optimistic perspectives seek to harmonize these conflicting forces and envisage a form of harmonious cooperation between humans and machines of increasing ‘intelligence’ and capability. The current work explores and evaluates why that positive narrative is unlikely to represent the actuality of coming events, at least within the foreseeable future.","PeriodicalId":22852,"journal":{"name":"Theoretical Issues in Ergonomics Science","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44739136","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}
R. Seva, Angela Li Sin Tan, L. Tejero, M. Salvacion
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}
Robert W. Andrews, J. Lilly, Divya Srivastava, K. Feigh
{"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":null,"pages":null},"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}
{"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":null,"pages":null},"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}