Review of human factors and ergonomics最新文献

{"title":"Teleoperation and Beyond for Assistive Humanoid Robots","authors":"M. Goodrich, J. Crandall, E. Barakova","doi":"10.1177/1557234X13502463","DOIUrl":"https://doi.org/10.1177/1557234X13502463","url":null,"abstract":"In this review, we explore how teleoperation could potentially be applied to the management of humanoid robots, with an emphasis on humanoid robots that are used in assistive roles, including clini...","PeriodicalId":90321,"journal":{"name":"Review of human factors and ergonomics","volume":"9 1","pages":"175-226"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1557234X13502463","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65553307","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 Interaction With Multiple Remote Robots","authors":"M. Lewis","doi":"10.1177/1557234X13506688","DOIUrl":"https://doi.org/10.1177/1557234X13506688","url":null,"abstract":"In this chapter, I review research involving remote human supervision of multiple unmanned vehicles (UVs) using command complexity as an organizing construct. Multi-UV tasks range from foraging, requiring little coordination among UVs, to formation following, in which UVs must function as a cohesive unit. Command complexity, the degree to which operator effort increases with the number of supervised UVs, is used to categorize human interaction with multiple UVs. For systems in which each UV requires the same form of attention (O(n)), effort increases linearly with the number of UVs. For systems in which the control of one UV is dependent upon another (O(>n)), additional UVs impose greater than linear increases due to the expense of coordination. For other systems, an operator interacts with an autonomously coordinating group, and effort is unaffected by group size (O(1)). Studies of human/multi-UV interaction can be roughly grouped into O(n) supervision, involving one-to-one control of individual UVs, or ...","PeriodicalId":90321,"journal":{"name":"Review of human factors and ergonomics","volume":"9 1","pages":"131-174"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1557234X13506688","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65553432","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":"Design Challenges and Guidelines for Social Interaction Using Mobile Telepresence Robots","authors":"K. Tsui, H. Yanco","doi":"10.1177/1557234X13502462","DOIUrl":"https://doi.org/10.1177/1557234X13502462","url":null,"abstract":"In this chapter, we address issues related to using mobile telepresence robotics for social interaction between people in different locations. We examine this problem space from three perspectives: (a) designing for the robot user, who is in a remote location; (b) designing for people near the robot, who are interacting with the user; and (c) designing so that the conversation is not hampered by the technology. We identify and review a number of mobile telepresence robots that have been designed for such social interactions across a variety of applications, including business, education, and healthcare. Finally, we discuss areas for future research and development in mobile telepresence robots for social applications.","PeriodicalId":90321,"journal":{"name":"Review of human factors and ergonomics","volume":"9 1","pages":"227-301"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1557234X13502462","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65553244","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":"Haptic Feedback in Teleoperation in Micro- and Nanoworlds","authors":"A. Bolopion, G. Millet, Cécile Pacoret, S. Régnier","doi":"10.1177/1557234X13503293","DOIUrl":"https://doi.org/10.1177/1557234X13503293","url":null,"abstract":"Robotic systems have been developed to handle very small objects, but their use remains complex and necessitates long-duration training. Simulators, such as molecular simulators, can provide access to large amounts of raw data, but only highly trained users can interpret the results of such systems. Haptic feedback in teleoperation, which provides force feedback to an operator, appears to be a promising solution for interaction with such systems, as it allows intuitiveness and flexibility. However, several issues arise while implementing teleoperation schemes at the micro- and nanoscale, owing to complex force fields that must be transmitted to users and scaling differences between the haptic device and the manipulated objects. Major advances in such technology have been made in recent years. In this chapter, we review the main systems in this area and highlight how some fundamental issues in teleoperation for microand nanoscale applications have been addressed. We consider three types of teleoperation, including (a) direct (manipulation of real objects), (b) virtual (use of simulators), and (c) augmented (combining real robotic systems and simulators). Remaining issues that must be addressed for further advances in teleoperation for micro- and nanoworlds are also discussed, including (a) comprehension of phenomena that dictate very small object (<500 micrometers) behavior and (b) design of intuitive 3-D manipulation systems. Design guidelines to realize an intuitive haptic feedback teleoperation system at the micro- and nanoscale level are proposed.","PeriodicalId":90321,"journal":{"name":"Review of human factors and ergonomics","volume":"9 1","pages":"57-93"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1557234X13503293","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65553372","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":"Modeling Human Performance for Human-Robot Systems","authors":"C. Harriott, J. Adams","doi":"10.1177/1557234X13501471","DOIUrl":"https://doi.org/10.1177/1557234X13501471","url":null,"abstract":"Human performance plays an important role in system performance and is influenced by a wide set of internal, organizational, and environmental factors. Human-robot systems are being developed for a large number of domains, including in-home care, military deployments, emergency response, industrial robots, and therapeutic applications. Human performance modeling provides the opportunity to investigate multiple system prototypes and theories regarding human performance that can be further evaluated in human-in- the-loop experiments, to quickly adapt to rapidly changing robotic technology, and to represent human behavior in extreme conditions. Interacting with robots also influences human performance, and models of the human-robot system provide an avenue to investigate the impact on human performance that the human-robot teaming elicits. This chapter provides an overview of examples representing common methods for assessing human performance in human-robot systems. The topics are summarized in Table 3.2 and include a description of human performance modeling, a summary of commonly used human performance modeling tools, examples of human performance modeling with a focus on its application in human-robot systems, information regarding the validation of models, and guidelines for implementing human performance modeling techniques for robotics. IntR oduCtIon The performance of humans interacting with a system influences the effectiveness of the system. It is common knowledge that human performance varies and that a number of factors influence human performance. The vast majority of human-robot systems litera- ture over the last decade has focused on evaluating systems and measuring human perfor- mance. It is important not only to measure but also to characterize and model human performance and how it impacts overall system goals and objectives. A critical aspect of future human-robot system design is understanding how human performance can influ- ence interaction with a robot, such that the overall system is more robust in highly uncer- tain and dynamic domains. Modeling of human performance can provide important insight into how to design systems to support human-robot interaction, how to design robots and better interfaces, and how the system can adapt to human performance degra- dations. Human performance modeling has a long history in general system design but has only recently begun to receive attention in relation to human-robot systems.","PeriodicalId":90321,"journal":{"name":"Review of human factors and ergonomics","volume":"9 1","pages":"94-130"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1557234X13501471","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65553190","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":"Space Telerobotics: Unique Challenges to Human–Robot Collaboration in Space","authors":"T. Fong, Jennifer Rochlis Zumbado, N. Currie, A. Mishkin, D. Akin","doi":"10.1177/1557234X13510679","DOIUrl":"https://doi.org/10.1177/1557234X13510679","url":null,"abstract":"In this chapter, we survey the current state of the art in space telerobots. We begin by defining relevant terms and describing applications. We then examine the design issues for space telerobotics, including common requirements, operational constraints, and design elements. A discussion follows of the reasons space telerobotics presents unique challenges beyond terrestrial systems. We then present case studies of several different space telerobots, examining key aspects of design and human–robot interaction. Next, we describe telerobots and concepts of operations for future space exploration missions. Finally, we discuss the various ways in which space telerobots can be evaluated in order to characterize and improve performance.","PeriodicalId":90321,"journal":{"name":"Review of human factors and ergonomics","volume":"9 1","pages":"6-56"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1557234X13510679","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65553443","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":"Diagnostic Reasoning and Decision Making in the Context of Health Information Technology","authors":"V. Patel, D. Kaufman, T. Kannampallil","doi":"10.1177/1557234X13492978","DOIUrl":"https://doi.org/10.1177/1557234X13492978","url":null,"abstract":"Diagnostic reasoning and medical decision making have been focal areas of research in the fields of medical education, cognition, and artificial intelligence in medicine. Drawing on several decades worth of research, we propose an integrated summary of prior research on diagnostic reasoning and decision making—in terms of both historical development and theoretical shifts. We also characterize the changes in research and theory resulting from the incorporation and adoption of health information technology in the clinical work place. In this paper, we differentiate between the various forms of diagnostic reasoning and trace the evolution of the various models of reasoning, including knowledge-based, exemplar-based, and visual strategies. We also discuss the effect of clinical expertise on reasoning processes. Within the medical decision-making research, we delineate the various approaches highlighting decision-making errors that arise due to the nature of heuristics and biases and other factors. Although t...","PeriodicalId":90321,"journal":{"name":"Review of human factors and ergonomics","volume":"8 1","pages":"149-190"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1557234X13492978","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65552908","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":"Self-Management of Wellness and Illness in an Aging Population","authors":"T. Mitzner, S. McBride, Laura H. Barg-Walkow, W. Rogers","doi":"10.1177/1557234X13492979","DOIUrl":"https://doi.org/10.1177/1557234X13492979","url":null,"abstract":"In this chapter, we review the last 10 years of literature on self-management of illnesses (acute/episodic and chronic) and wellness (e.g., health promotion). We focus on health self-management in the context of an aging population, wherein middle-aged adults are more likely to be managing wellness activities and older adults are often managing both maintenance of health and chronic illnesses. The critical issues related to self-management of health are discussed, including those imposed by health care demands and those stemming from individual differences in general abilities (e.g., motor, perception, cognition) and socioemotional characteristics. The dynamic relationship between theory and practice is highlighted. Health care demands reflect the nature of the illness or wellness activity and include managing comorbidities, symptoms, and medications; engaging in health promotion activities (e.g., exercise, diet); the required use of health technologies; the need for health-related information; and coordi...","PeriodicalId":90321,"journal":{"name":"Review of human factors and ergonomics","volume":"8 1","pages":"277-333"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1557234X13492979","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65552961","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":"Communicating Numerical Risk: Human Factors That Aid Understanding in Health Care.","authors":"Priscila G Brust-Renck,&nbsp;Caisa E Royer,&nbsp;Valerie F Reyna","doi":"10.1177/1557234X13492980","DOIUrl":"https://doi.org/10.1177/1557234X13492980","url":null,"abstract":"<p><p>In this chapter, we review evidence from the human factors literature that verbal and visual formats can help increase the understanding of numerical risk information in health care. These visual representations of risk are grounded in empirically supported theory. As background, we first review research showing that people often have difficulty understanding numerical risks and benefits in health information. In particular, we discuss how understanding the meanings of numbers results in healthier decisions. Then, we discuss the processes that determine how communication of numerical risks can enhance (or degrade) health judgments and decisions. Specifically, we examine two different approaches to risk communication: a traditional approach and fuzzy-trace theory. Applying research on the complications of understanding and communicating risks, we then highlight how different visual representations are best suited to communicating different risk messages (i.e., their gist). In particular, we review verbal and visual messages that highlight gist representations that can better communicate health information and improve informed decision making. This discussion is informed by human factors theories and methods, which involve the study of how to maximize the interaction between humans and the tools they use. Finally, we present implications and recommendations for future research on human factors in health care.</p>","PeriodicalId":90321,"journal":{"name":"Review of human factors and ergonomics","volume":"8 1","pages":"235-276"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1557234X13492980","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32484139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human Factors in Critical Care Medical Environments","authors":"F. Drews","doi":"10.1177/1557234X13493250","DOIUrl":"https://doi.org/10.1177/1557234X13493250","url":null,"abstract":"The purpose of this chapter on human factors in critical care medical environments is to provide a systematic review of the human factors and ergonomics contributions that led to significant improvements in patient safety over the last five decades. The review will focus on issues that contributed to patient injury and fatalities and how human factors and ergonomics can improve performance of providers in critical care. Given the complexity of critical care delivery, a review needs to cover a wide range of subjects. In this review, I take a sociotechnical systems perspective on critical care and discuss the people, their technical and nontechnical skills, the importance of teamwork, technology, and ergonomics in this complex environment. After a description of the importance of a safety climate, the chapter will conclude with a summary on how human factors and ergonomics can improve quality in critical care delivery.","PeriodicalId":90321,"journal":{"name":"Review of human factors and ergonomics","volume":"8 1","pages":"103-148"},"PeriodicalIF":0.0,"publicationDate":"2013-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1557234X13493250","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"65552976","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}